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āļāļąāļāđāļŦāļĨāļāđāļĢāļāļđāđāļĄāđāļāļāļāļāļļāļ
AI āļāļāļāđāļĢāļēāļāļ°āļāđāļēāļāđāļŦāđ āđāļĨāđāļ§āļŦāļēāļāļēāļāļāļĩāđāđāļāđāļŠāļģāļŦāļĢāļąāļāļāļļāļ
āļāļąāļāđāļŦāļĨāļāđāļĢāļāļđāđāļĄāđāļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
2 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Microsoft SQL Server, Digital Marketing, Data Analysis, Negotiation, Recruitment
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, Tripadvisor, Trivago and other search engines. Adapt to new product features and roll out changes from successful tests.
- Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding impact on bookings from large scale TV campaigns or demand elasticity from pricing optimization) and liaise with ...
- Reporting, analysis and insights: Building dashboards to track performance, derive insights, understand growth levers and communicate recommendations via presentations to stakeholders.
- Bachelor's degree or higher from top university in a quantitative subject (computer science, mathematics, engineering business or science).
- Excellent verbal and written communication skills in English.
- 2+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business for a fast-growing globaltech company.
- Experience in one or more data analysis packages or databases, eg., SAS, R, SPSS, Python, VBA, SQL and visualization tools, eg. Tableau, Power BI.
- Ability to move fast and be efficient, making decisions on objective evidence rather than subjective gut feel.
- Innate desire to take ownership, make an impact and influence outcomes.
- Excellent organizational skills, attention to detail and ability to work independently.
- Experience in digital marketing or ecommerce.
- Experience with A/B testing and other testing metrics.
- Strong presentation and negotiation skills.
- Skills that foster collaboration and team spirit.
- STRA#ANLS#MRKT#3#LI-TR2 data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics power bi.
- Please review our Hiring Process Guidelines before your interview - click here to learn how interviewing at Agoda works.
- Discover more about working at Agoda.
- Agoda Careers https://careersatagoda.com.
- Facebook https://www.facebook.com/agodacareers/.
- LinkedIn https://www.linkedin.com/company/agoda.
- YouTube https://www.youtube.com/agodalife.
- Equal Opportunity Employer.
- At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
- We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
- Disclaimer.
- We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
āļāļąāļāļĐāļ°:
Statistical Analysis, Digital Marketing, Power point, Leadership Skill, Branding
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Engage in marketing insights projects to analyse data and performance and effectively communicate findings.
- Translate client business & marketing problems into analytical problems, and recommend suitable approaches to address the client's issues.
- Help clients identify the right marketing key performance indicators (KPIs), highlight areas of improvement, and influence strategy.
- Extract and process large quantities of relevant data to help create meaningful reports /dashboards as per the client's requirements.
- Use analytic techniques such as statistical analysis (test vs. control), customer segmentation and ROI analysis to derive insights.
- Deliver results of statistical analyses, in the form of dashboards & PowerPoint reports.
- Implement data & analytics solutions and provide recommendations that drive results for client campaigns and larger business objectives.
- Solve challenging business problems creatively, efficiently, and independently, especially when faced with time and operational constraints or ambiguity.
- Deliver on multiple initiatives in the same time frame with minimal supervision.
- Enough about us, let's talk about you.
- Strong academic degree in Marketing Analytics, Business, Computer Science, or related disciplines.
- Advance knowledge of PowerPoint, including the ability to use PowerPoint to communicate analytical insights effectively to stakeholders.
- Experience with impactful data-related or analytics projects and visually presenting and communicating findings with minimal supervision.
- Experience in communicating and collaborating with cross-functional teams (e.g., marketing, sales, finance, business analytics, and engineering) at various levels (e.g., peers to senior leadership).
- Experience and comfort with using and analysing large data sets.
- Intermediate/Advanced knowledge of SQL.
- Expertise in digital/growth marketing within fast paced and dynamic market environments. You will also have a sound understanding of direct response metrics and an ability to measure program/campaign ROI and a proven ability to manage paid social campaigns.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
1 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Digital Marketing, Automation, SQL
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Execute Partner Marketing Campaigns: Manage the end-to-end execution of our partners' campaigns while ensuring timelines, quality, and stakeholder alignment.
- Creative Campaign Development: Collaborate to design compelling campaign materials, including themes and engagement-focused content tailored to partner audiences and strategy.
- Leverage Marketing Tools: Operate advanced platforms (Iterable, Builder.io, and others) to deliver seamless and strategic campaign execution.
- Process optimization: Regularly review past campaigns, communications and projects to identify opportunities for improvements and advancements focused on driving efficiency.
- Analyze & Optimize Campaign Performance: Measure performance metrics to uncover actionable insights, recommend campaign enhancements, and ensure optimal outcomes.
- Marketing Campaign Execution Expertise: 1+ years in marketing operations or execution-focused roles with a proven track record of driving results.
- Results-Driven Professional: A passion to create campaigns that directly impact partner business growth and pipeline acceleration.
- Command of Digital Tools: Hands-on experience with marketing automation platforms like Iterable, Builder.io, HubSpot, Braze, MailChimp, or similar.
- Multi-Tasking in a Fast-Paced Environment: Proven ability to manage several campaigns simultaneously without compromising quality.
- Detail-Oriented & Creative Problem Solver: Exceptional ability to understand and clarify requirements, refine messaging, and ensure all deliverables meet quality standards.
- Strong Analytical Mindset: Ability to interpret campaign data and performance to drive insights and propose impactful improvements.
- Basic knowledge of SQL.
- IMPORTANT.
- This role will collaborate with our teams in the US and will require overlapping hours for effective communication. For example, you may be required to work two hours in the evening twice a week (exact times can be further discussed and coordinated). Flexibility in scheduling is required and expected to ensure smooth collaboration.
- Why Join Us?.
- At Agoda, you will play a pivotal role in shaping our communication strategies and driving growth within the B2B marketing division. If you are an innovative thinker passionate about travel technology and have the skills to elevate our brand narrative, we invite you to apply and be part of our dynamic team!.
- STRA#ANLS#MRKT#3#LI-TR2 data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java.
- Please review our Hiring Process Guidelines before your interview - click here to learn how interviewing at Agoda works.
- Discover more about working at Agoda.
- Agoda Careers https://careersatagoda.com.
- Facebook https://www.facebook.com/agodacareers/.
- LinkedIn https://www.linkedin.com/company/agoda.
- YouTube https://www.youtube.com/agodalife.
- Equal Opportunity Employer.
- At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
- We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
- Disclaimer.
- We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
2 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Digital Marketing, Social media, Power point
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ33,670 - āļŋ46,760, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Monthly and quarterly business review.
- Stay up to date with best practices, new tools, and technologies.
- Understand the team's challenges by managing the end-to-end process: research, campaign planning, production, performance monitoring, campaign optimization, reporting and consultation.
- Responsible for driving initiatives to achieve our client's business objective (often revenue or number of lead) using social media advertising, search advertising (Google, Yahoo, and Bing), display advertising, YouTube advertising, and mobile application advertising.
- Analyze and optimize the campaign portfolio using the data-driven technique. Then, develop strategies to grow the business.
- Channel performance evaluations.
- 2-4 years of experience and knowledge in Digital Marketing is a must!.
- Strong Google Marketing Platform knowledge is preferred.
- Strong analytical skills and experience generating performance reports.
- Have a team management experience.
- Eagerness to learn and adopt new tools/technologies as well as share knowledge with others.
- A self-starting attitude - the ability to work independently and take initiatives.
- Ability to manage multiple projects simultaneously.
- Ability to work as a team and with clients.
- Good command of MS Office, MS-EXCEL, MS-POWERPOINT, MS-WORD.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
4 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Business Development, Product Development, Google Analytics, Electronics, Leadership Skill
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- MBA or a Master's in a relevant discipline is preferred.
- Experience.
- 4-6+ years in e-commerce, digital commerce, or commercial management, including 3-5 years leading teams or owning a channel P&L.
- Demonstrated revenue/GMV ownership for a proprietary online store and/or official marketplace storefronts (Shopee, Lazada, or equivalent).
- Track record in a high-velocity retail environment - telecommunications, consumer electronics/devices, or fast-moving digital retail preferred.
- Hands-on experience with device-and-plan or subscription bundling, and digital-first subscriber or customer acquisition.
- Functional & Domain Expertise.
- Digital sales strategy for flagship hardware launches (Apple, Samsung) and postpaid/prepaid acquisition, including lucky SIM and travel SIM segments.
- Performance marketing and paid media frameworks across social and search, with proven efficiency.
- Loyalty, CRM, and retention design - reward-point redemption loops, prepaid-to-postpaid upsell, and ARPU maximization.
- E-commerce operations: demand and inventory planning, pre-order and mega-campaign management, and end-of-life stock clearance.
- Omnichannel integration between marketplace storefronts, proprietary web/app platforms, and subscriber onboarding journeys.
- Analytical & Technical Skills.
- Fluency in e-commerce KPIs (AOV, conversion rate, cart abandonment) and telco metrics (CAC, subscriber churn, bundle attach rate, MAU, ARPU).
- Proficiency with analytics and BI tools (e.g., Google Analytics, Power BI, Tableau) and experience building executive-facing dashboards.
- Working knowledge of e-commerce platforms, marketplace seller centers, and martech/ad platforms (Meta, Google, TikTok Ads).
- Leadership & Competencies.
- Strategic, commercially driven leader comfortable operating within a "Telco-to-Tech" transformation agenda.
- Strong cross-functional leadership - able to align product, supply chain, marketing, and marketplace partners toward shared targets.
- Excellent stakeholder management and executive communication skills.
- Data-informed decision-making with a bias for measurable outcomes.
- TRUE CORPORATION.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
5 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Project Management, Marketing Strategy, Industry trends, Data Analysis, Social media
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- The country field marketing specialist will support Indonesia & Thailand account-based strategy and execution. You will be driving ABM plays and country programs to build awareness, drive demand and adoption, and accelerate opportunities within strategic accounts, while nurturing user communities by industry.
- You will have a proven track record of overachieving marketing objectives and able to establish credibility with the sales team and global marketing colleagues through their market insights, industry knowledge, communication skills and their leadership ...
- In addition, this role will support cross-SEA initiatives such as AI related marketing campaign build, analysis and reporting, and contribute to large flagship or key regional moments where needed.
- Plan and execute account-based programs (1:few/1:1) for Indonesia & Thailand, selecting the right mix of tactics (digital, workshops, executive engagements, partner motions, and selective small events) to progress named accounts.
- Support the localization and execution of paid media, content syndication, and marketing campaign assets for the Indonesia market.
- Coordinate content partnership activities and collaborate with regional stakeholders to deliver Indonesia and Thailand market initiatives.
- Develop and implement country-specific, account-based demand generation campaigns, collaborating closely with sales, marketing, and other cross-functional teams to deepen engagement within priority accounts and industries.
- Manage all aspects of program logistics and execution - from planning to post-activation analysis - ensuring smooth coordination, timely delivery, and clear ROI tracking.
- Utilize provided data exports from core marketing systems (e.g., Marketo, Salesforce) to perform data analysis, monitor account-level performance metrics, and generate actionable insights to improve engagement strategies.
- Collaborate with partners on joint account strategies and co-marketing that advance in-country opportunities.
- Partner with Brand, Social Media, Customer References, PR, and Government Relations teams to amplify country narratives, local proof points, and executive visibility with priority accounts.
- Monitor industry trends and best practices and synthesize them into locally relevant content and talk tracks for target industries.
- Coordinate localization (e.g., Bahasa /Thai) via shared resources/vendors; ensure accuracy and cultural fit of localized assets without necessarily producing translations personally.
- Report success against country outcomes (Indonesia & Thailand) and named-account KPIs (engagement, meetings, opportunities, pipeline, expansion).
- Manage individual deliverables end-to-end with high autonomy, demonstrating the ability to navigate fluid environments and self-steer through unstructured challenges with minimal oversight.
- Demonstrate proactive, self-starter mindset by anticipating project bottlenecks, identifying process gaps, and driving solutions.
- Execute tasks independently while effectively managing competing priorities and delivering high-quality outputs under tight timelines.
- Operate comfortably and effectively in fast-paced environments where project scope, tools, or team structures may frequently evolve.
- Demonstrate a strong commitment to personal learning and development.
- Understand how our daily work contributes to the priorities of the team and business.
- Understand the set expectations and demonstrate accountability in keeping personal performance on track.
- Actively focus on developing effective communications and relationship-building skills with stakeholders, clients and team.
- Demonstrate an appreciation for working with others.
- Understand what is fundamental to Deloitte's success as a business.
- Demonstrate integrity and an awareness of strengths, differences, and personal impact.
- Develop their understanding of Deloitte and offer a fresh perspective.
- Bachelor's Degree.
- Min 5 years of relevant B2B tech marketing or field marketing experience.
- Language: Fluent in English. Strong written English is essential (content synthesis, narrative building).
- Knowledge of Bahasa or Thai; ability to manage localization workflows is required.
- Understanding of the enterprise software purchase, development, and implementation cycles.
- Strong technical acumen; ability to translate solutions into industry/account narratives and executive-level messaging.\.
- Strong project management skills and experience, including managing external creative agencies, events vendors, and international projects; Experience orchestrating ABM plays and targeted programs, including budget management and ROI tracking.
- Strong communication skills in both business and technical situations, comfortability in talking about technical things with technical people and able to express complex concepts in plain language to reach broader audiences.
- Strong analytical skills to gather and interpret data from various sources (e.g., marketing automation platforms, CRM systems, web analytics tools) to track account engagement, influence on opportunities, and tie activity to country targets.
- Experience with CRM and marketing automation tools.
- Team player with a proactive and results-oriented approach.
- Hands-on experience with ABM frameworks (ICP, buying groups, account planning), executive programs, and partner co-marketing in SEA; Indonesia/Thailand market familiarity.
- Due to volume of applications, we regret only shortlisted candidates will be notified.
- Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
1 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Digital Marketing
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Communicates to customers via phone, email or chat for any issues related to their.
- interaction with Adwords platform.
- Manage the relationship between the internet giant and its customers resulting in.
- increased business by providing consultative advice sales solutions.
- Tell us how we can be better and act as a voice for users/advertisers to provide.
- product and process improvement opportunities back to the internet giant.
- Any other.
- that may be assigned to you by the.
- management from time to time, within your category of employment in the.
- organization and for the effective implementation, maintenance and continual.
- improvement of the ISO9001 and ISO18295-1 Quality Management System of TDCX.
- Who are we looking for?.
- Possess at least Bachelor's Degree in any field, preferably advertising or marketing.
- Excellent communication skill in English and your native language.
- 1-2 years of experience in customer support will be an added advantage.
- Fresh graduate is welcomed to apply.
- Passion for social media, online marketing or online advertising.
- A creative mind set and understanding of customer needs.
- Strong communication skills and a flair for convincing and presenting an argument.
- The ability to work in an organized and structured manner.
- Excellent attention to detail.
āļāļąāļāļĐāļ°:
Digital Marketing
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļ§āļēāļāļāļĨāļĒāļļāļāļāđāđāļĨāļ°āļāļĢāļīāļŦāļēāļĢāđāļāļāļāļēāļāļāļēāļĢāļāļĨāļēāļ (Data-Driven Strategy) āļŠāļēāļĄāļēāļĢāļāļāļāļāđāļāļāļāļĨāļĒāļļāļāļĒāđ āļāļģāđāļāļĢāđāļĄāļāļąāļāđāļĨāļ°āļāļąāļāļāļģ Timeline/ Milestones āđāļāļĒāđāļāđāļāđāļāļĄāļđāļĨ (Data) āđāļāđāļāļŦāļĨāļąāļ āļāļĢāđāļāļĄāļāļīāļāļāļēāļĄāđāļĨāļ°āļ§āļąāļāļāļĨāļĨāļąāļāļāđ (KPIs/ ROI) āļāļĒāđāļēāļāđāļĄāđāļāļĒāļģ āđāļŦāđāđāļāđāļāđāļāļāļēāļĄāđāļāđāļēāļŦāļĄāļēāļĒāđāļĨāļ°āļĢāļ°āļĒāļ°āđāļ§āļĨāļēāļāļĩāđāļāļģāļŦāļāļ āļāļĢāđāļāļĄāļāļąāđāļāļĢāļēāļĒāļāļēāļāļāļĨāļāļēāļāļāđāļēāļāđāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļāļŦāļĢāļ·āļāļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒ āđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāļāļģāđāļŠāļāļāđāļāđāļāļĒāđāļēāļāļāļđāļāļāđāļāļāđāļŦāļĄāļēāļ°āļŠāļĄ.
- āļ§āļēāļāđāļāļāđāļĨāļ°āļāļĢāļīāļŦāļēāļĢāđāļāļĄāđāļāļ Online Marketing āđāļāļ·āđāļāđāļāļīāđāļĄ Brand Awareness āđāļĨāļ° Lead Generation.
- āļ§āļēāļāđāļāļ Content Calendar āļŠāļģāļŦāļĢāļąāļāļāļļāļāļāđāļāļāļāļēāļāļāļāļāđāļĨāļāđ āļāļīāļāļŦāļąāļ§āļāđāļāđāļĨāļ°āđāļāļ§āļāļēāļāļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢāļāļĩāđāđāļŦāļĄāļēāļ° ...
- āļĻāļķāļāļĐāļēāđāļĨāļ°āļāļīāļāļāļēāļĄāļāđāļēāļ§āļŠāļēāļĢāļāđāļēāļāļāļēāļĢāļĨāļāļāļļāļ āļāļĨāļēāļāļāļļāļ āđāļĨāļ°āļāļĨāļīāļāļ āļąāļāļāđāļāļēāļāļāļēāļĢāđāļāļīāļ āđāļāļ·āđāļāļāļģāļĄāļēāļāļąāļāļāļē Content āđāļŦāđāļĄāļĩāļāļ§āļēāļĄāļāļđāļāļāđāļāļāđāļĨāļ°āļāđāļēāļŠāļāđāļ āđāļĨāļ°āļāļģāļāļēāļāļĢāđāļ§āļĄāļāļąāļāļāđāļēāļĒāļāļ·āđāļāđ āļŦāļĢāļ·āļāļāļđāđāđāļāļĩāđāļĒāļ§āļāļēāļāļāđāļēāļāļāļēāļĢāļĨāļāļāļļāļ āđāļāļ·āđāļāļāđāļēāļĒāļāļāļāļāđāļāļĄāļđāļĨāļāļĩāđāļāļąāļāļāđāļāļāđāļŦāđāđāļāđāļēāđāļāļāđāļēāļĒ.
- āļĻāļķāļāļĐāļē Digital Marketing Trends, AI Tools āđāļĨāļ°āđāļāļāđāļāđāļĨāļĒāļĩāđāļŦāļĄāđ āđ āđāļāļ·āđāļāļāļģāļĄāļēāļāļĢāļ°āļĒāļļāļāļāđāđāļāđāđāļāļāļēāļĢāļāļģāļāļēāļ āđāļŠāļāļāđāļāđāļāļĩāļĒāđāļĨāļ°āļāļīāļāļāļĢāļĢāļĄāļāļēāļāļāļēāļĢāļāļĨāļēāļāđāļŦāļĄāđ āđ āđāļāļ·āđāļāđāļāļīāđāļĄāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļāđāļāļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢāļāļąāļāļĨāļđāļāļāđāļē.
- āļāļąāļāđāļāļĨāļ·āđāļāļāļāļēāļĢāđāļāļīāļāđāļāļāļāļāļāļļāļĢāļāļīāļ (Growth & Acquisition) āļāļąāļāļāļēāđāļĨāļ°āđāļāļīāļāļāļąāļ§āļŠāļīāļāļāđāļē/ āļāļĢāļīāļāļēāļĢāđāļŦāļĄāđ āļāļĢāļ°āļĒāļļāļāļāđāđāļāđ MarTech āđāļĨāļ°āļĢāļ°āļāļ CRM āđāļāļ·āđāļāļŦāļēāļĨāļđāļāļāđāļēāđāļŦāļĄāđ (User Acquisition) āđāļĨāļ°āļāļĢāļ°āļāļļāđāļāļĒāļāļāļāļđāđāđāļāđāļāļēāļāļāļąāļāļāļļāļāļąāļ (Active Users) āđāļŦāđāđāļāļīāļāđāļāļāļĒāđāļēāļāļāđāļāđāļāļ·āđāļāļ.
- āļŠāļāļąāļāļŠāļāļļāļāļāļēāļāļāđāļēāļāđ āđāļāļāđāļēāļĒāļāļēāļĄāļāļĩāđāđāļāđāļĢāļąāļāļĄāļāļāļŦāļĄāļēāļĒāļāļēāļāļŦāļąāļ§āļŦāļāđāļēāļāļēāļ.
- āļāļĢāļīāļāļāļēāļāļĢāļĩāļŦāļĢāļ·āļāđāļāļŠāļēāļāļēāļāļēāļĢāļāļĨāļēāļ āļŦāļĢāļ·āļāļŠāļēāļāļēāļāļ·āđāļāđāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāđāļēāļ Digital Marketing, Content Marketing āļŦāļĢāļ·āļ Project Management āļāļĒāđāļēāļāļāđāļāļĒ 2-4 āļāļĩ (āļŦāļēāļāļĄāļĩāļāļ§āļēāļĄāļĢāļđāđāļŦāļĢāļ·āļāļŠāļāđāļāļāđāļēāļāļāļēāļĢāļĨāļāļāļļāļ āļŦāļĢāļ·āļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļĢāļāđāļāļŠāļēāļĒāļāļļāļĢāļāļīāļāļāđāļēāļāļŦāļĨāļąāļāļāļĢāļąāļāļĒāđ āļāļāļēāļāļēāļĢāļŦāļĢāļ·āļ Fintech āļāļ°āđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ).
- āļĄāļĩāļāļ§āļēāļĄāđāļāđāļēāđāļāđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāļāļĢāļ°āļĒāļļāļāļāđāđāļāđ Marketing Technology (MarTech), CRM āđāļĨāļ° Digital Marketing Platforms āđāļāđ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāļāļīāļāđāļāļīāļāļ§āļīāđāļāļĢāļēāļ°āļŦāđ (Analytical Thinking) āļŠāļēāļĄāļēāļĢāļāļāļĢāļ°āđāļĄāļīāļāļāļ§āļēāļĄāđāļŠāļĩāđāļĒāļ āļāļēāļāļāļēāļĢāļāđāļāļļāļāļŠāļĢāļĢāļāđāļĨāļ°āļĄāļĩāļāļ§āļēāļĄāļĒāļ·āļāļŦāļĒāļļāđāļāļŠāļđāļ (Agility) āļāļĢāđāļāļĄāļĢāļąāļāļĄāļ·āļāļāļļāļāļāļēāļĢāđāļāļĨāļĩāđāļĒāļāđāļāļĨāļ.
- āļĄāļĩāļāļ§āļēāļĄāļāļīāļāļŠāļĢāđāļēāļāļŠāļĢāļĢāļāđ āļŠāļēāļĄāļēāļĢāļāļ§āļēāļāđāļāļāđāļĨāļ°āļāļąāļāļāļē Content āđāļāđ.
- āļĄāļĩāļāļ§āļēāļĄāđāļāđāļēāđāļ Social Media āđāļĨāļ°āđāļāļĢāļ·āđāļāļāļĄāļ·āļ Digital Marketing āļāđāļēāļ āđ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢ āļāļēāļĢāļ§āļēāļāđāļāļ āđāļĨāļ°āļāļēāļĢāđāļāđāđāļāļāļąāļāļŦāļēāļāļĩāđāļāļĩ.
- āļĄāļĩāļāļąāļāļĐāļ°āđāļāļāļēāļĢāļāļąāļāļŠāļīāļāđāļāđāļĨāļ°āđāļāđāļāļąāļāļŦāļēāđāļāļāļēāļ°āļŦāļāđāļēāđāļāđāļāļĒāđāļēāļāļĢāļāļāļāļāļāļ āļēāļĒāđāļāđāđāļĢāļāļāļāļāļąāļ.
- āļŠāļēāļĄāļēāļĢāļāđāļāđāđāļāļĢāļ·āđāļāļāļĄāļ·āļāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļāļģāđāļŠāļāļāļāļēāļāđāļāđāđāļāđāļāļāļĒāđāļēāļāļāļĩ (Excel, PowerPoint/ Canva).
- āļāļļāđāļāđāļāļĒāļāļąāļāļāļēāļĢāđāļāđāđāļāļĢāļ·āđāļāļāļĄāļ·āļ Project Management āļŠāļĄāļąāļĒāđāļŦāļĄāđ (āđāļāđāļ Asana, ClickUp, Trello) āđāļāļ·āđāļāļāļ§āļāļāļļāļĄāļāļēāļĢāļāļģāļāļēāļāđāļŦāđāļĢāļēāļāļĢāļ·āđāļ.
- āļŠāļēāļĄāļēāļĢāļāļāļģāļāļēāļāļĢāđāļ§āļĄāļāļąāļāļāļđāđāļāļ·āđāļāđāļāđāļāļĩ āđāļĨāļ°āļĄāļĩāļāļ§āļēāļĄāļāļĢāļ°āļāļ·āļāļĢāļ·āļāļĢāđāļāđāļāļāļēāļĢāđāļŠāļ§āļāļŦāļēāļāļ§āļēāļĄāļĢāļđāđāđāļŦāļĄāđāđāđāļāļĒāđāļāļāļēāļ°āđāļāļĢāļāļāđāđāļāļāļēāļĢāļāļģāļāļēāļĢāļāļĨāļēāļāđāļāļāđāļŦāļĄāđ āđ āļāļĒāļđāđāđāļŠāļĄāļ.
- āļāļĢāļļāļāļēāļŠāđāļāđāļāļŠāļĄāļąāļāļĢāđāļāļĒāļĢāļ°āļāļļāļāļļāļāļŠāļĄāļāļąāļāļīāđāļĨāļ°āļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāļēāļĢāļāļģāļāļēāļāđāļāļĒāļĨāļ°āđāļāļĩāļĒāļ āļĢāļ§āļĄāļāļķāļāđāļāļīāļāđāļāļ·āļāļāļāļĩāđāļāļēāļāļŦāļ§āļąāļ.
āļāļąāļāļĐāļ°:
Microsoft SQL Server, Digital Marketing, Data Analysis, Recruitment, Leadership Skill
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
- Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
- Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
- Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, or science).
- Ability to communicate fluently in English.
- Good numerical reasoning skills.
- Proficiency in Excel.
- Intellectual curiosity.
- Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL.
- Experience in digital marketing.
- Academic research experience.
- STRA#ANLS#MRKT#3#LI-TR2 data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner.
- Please review our Hiring Process Guidelines before your interview - click here to learn how interviewing at Agoda works.
- Discover more about working at Agoda.
- Agoda Careers https://careersatagoda.com.
- Facebook https://www.facebook.com/agodacareers/.
- LinkedIn https://www.linkedin.com/company/agoda.
- YouTube https://www.youtube.com/agodalife.
- Equal Opportunity Employer.
- At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
- We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
- Disclaimer.
- We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
āļāļąāļāļĐāļ°:
Microsoft SQL Server, Digital Marketing, Data Analysis, Recruitment, Leadership Skill
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
- Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
- Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
- Fresh Graduates are welcome to apply!.
- Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, statistics or science or related fields).
- Ability to communicate fluently in English.
- Good numerical reasoning skills.
- Proficiency in Excel.
- Intellectual curiosity.
- Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL.
- Experience in digital marketing.
- Academic research experience.
- entrylevel.
- STRA#ANLS#MRKT#3#LI-TR2 data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server.
- Please review our Hiring Process Guidelines before your interview - click here to learn how interviewing at Agoda works.
- Discover more about working at Agoda.
- Agoda Careers https://careersatagoda.com.
- Facebook https://www.facebook.com/agodacareers/.
- LinkedIn https://www.linkedin.com/company/agoda.
- YouTube https://www.youtube.com/agodalife.
- Equal Opportunity Employer.
- At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
- We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
- Disclaimer.
- We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

āļāļąāļāđāļŦāļĨāļāđāļĢāļāļđāđāļĄāđāļāļāļāļāļļāļ
AI āļāļāļāđāļĢāļēāļāļ°āļāđāļēāļāđāļŦāđ āđāļĨāđāļ§āļŦāļēāļāļēāļāļāļĩāđāđāļāđāļŠāļģāļŦāļĢāļąāļāļāļļāļ
āļāļąāļāđāļŦāļĨāļāđāļĢāļāļđāđāļĄāđāļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
6 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Marketing Strategy, Digital Marketing, Leadership Skill, eCommerce, Power BI
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Marketing Measurement & Incrementality.
- Own attribution and incrementality analysis for marketing spend - going beyond last-click or platform-reported attribution to assess the true causal impact of media investment.
- Design and interpret incrementality reads (e.g. holdout tests, geo experiments) and, where relevant, build or interpret marketing mix modelling (MMM) to separate incremental lift from correlation.
- Analyze cross-channel effects - for example, whether TikTok investment subsequently lifts Shopee or Lazada sales, shifts search behaviour, or drives new customer acquisition - rather than evaluating each channel in isolation.
- Customer Analytics.
- Run cohort analysis to understand acquisition, repeat purchase, and retention patterns across markets and channels.
- Build or interpret lifetime value (LTV) views, and identify which marketing activities are driving valuable, retained customers rather than only immediate conversions.
- Connect customer-level patterns back to media investment decisions - informing not just "did this campaign convert" but "did it acquire customers worth keeping.".
- Proactive Exploration & Insight Generation.
- Explore marketing and commerce data on your own initiative to surface non-obvious patterns and anomalies - this is a core expectation of the role, not a bonus behaviour.
- Present findings and recommendations directly to country marketing leads and regional leadership as a point of view, not just a finished chart.
- Use AI tools such as Claude where they genuinely accelerate this work - automated anomaly flags, drafting narrative summaries, natural-language querying - while keeping the analytical judgment and causal reasoning your own.
- Gather requirements from country marketing stakeholders and translate open-ended questions into structured data problems, working the hub-and-spoke model with the central Data Engineering / BI team in Vietnam and Indonesia.
- Write your own SQL, build/validate your own dashboards, and reconcile Marketing Dashboard numbers, escalating recurring data quality issues to the central Data Governance & Quality function.
- Maintain marketing metric definitions and methodology (including attribution and incrementality methodology) in Intrepid's BI Business Glossary, so the more advanced measurement work above stays consistent and reproducible across markets.
- Marketing Measurement & Statistical Capabilities - Core.
- Strong, hands-on grasp of attribution methodology beyond last-click or platform-reported numbers - multi-touch attribution and incrementality testing (e.g. holdout or geo experiments); hands-on MMM experience is a strong plus.
- Comfortable applying statistical/analytical techniques - experimentation and test design, regression analysis, and time-series/cohort analysis - to answer causal questions about media impact, not just describe correlations.
- Demonstrated ability to reason about cross-channel effects (e.g. does TikTok spend show up in Shopee/Lazada sales, search demand, or new customer acquisition) rather than analyzing each platform in isolation.
- Customer Analytics.
- Practical experience with cohort analysis, customer acquisition and repeat purchase/retention metrics, and lifetime value (LTV) modelling.
- Ability to distinguish marketing activity that drives immediate conversion from activity that drives durable, valuable customers.
- Analytical Curiosity.
- A track record of exploring data unprompted and surfacing findings nobody explicitly asked for - we will assess this directly, not just requirements-gathering or dashboard delivery skills.
- Technical & Data Capabilities.
- Hands-on SQL and dashboarding experience (e.g. Apache Superset, Looker, Power BI, or similar), with the ability to validate and reconcile data from multiple sources yourself.
- Experience with or exposure to e-commerce marketplace data (Shopee, Lazada, TikTok Shop) is a strong plus, given Intrepid's Martech and Analytics focus.
- Comfortable using Claude or other GenAI tools to accelerate analysis - SQL generation, summarizing large datasets, drafting narratives. Valuable, but secondary to the measurement and statistical capabilities above; we weight causal reasoning ability well above GenAI or low-code tool fluency.
- Marketing Domain & Business Analyst Capabilities.
- Solid understanding of marketing strategy - media mix, channel economics, campaign planning - sufficient to frame the right measurement questions.
- Baseline requirements-gathering and stakeholder management skills, with the ability to operate with minimal oversight across multiple country marketing teams. This is expected competence, not the primary differentiator for this role.
- Excellent communication skills, able to explain causal/statistical findings to a non-technical marketing audience without losing the nuance.
- Preferred Experience.
- 6+ years of experience with meaningful exposure to marketing measurement, growth/customer analytics, or applied statistics - not simply BA or dashboard-reporting experience.
- Hands-on experience with an MMM framework (e.g. Robyn, LightweightMMM) or having designed and run incrementality/holdout tests.
- Prior experience in e-commerce, marketplaces, or digital marketing in Southeast Asia.
- Experience covering multiple markets or countries remotely from a regional hub.
- Prior experience building or piloting an AI-assisted analytics workflow is a plus - but not a substitute for the statistical and measurement depth above.
āļāļąāļāļĐāļ°:
SQL, Power BI, Python
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļĨāļđāļāļāđāļē āļŠāļĄāļēāļāļīāļ āđāļĨāļ°āļāļĪāļāļīāļāļĢāļĢāļĄāļāļēāļĢāđāļāđāļāļĢāļīāļāļēāļĢ āđāļāļ·āđāļāļāđāļāļŦāļē Insight āđāļĨāļ°āđāļāļāļēāļŠāđāļāļāļēāļĢāļāļąāļāļāļēāļāļļāļĢāļāļīāļ.
- āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļĨāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļāļāļāļ Loyalty Program āđāļĨāļ°āđāļāļĄāđāļāļ CRM āļāļĢāđāļāļĄāļāļąāļāļāļģāļāđāļāđāļŠāļāļāđāļāļ°āđāļāļ·āđāļāđāļāļīāđāļĄāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ.
- āļāļąāļāļāļģ Dashboard āđāļĨāļ°āļĢāļēāļĒāļāļēāļāļāļĨāļāļēāļĢāļāļģāđāļāļīāļāļāļēāļ āđāļāļ·āđāļāļŠāļāļąāļāļŠāļāļļāļāļāļēāļĢāļāļąāļāļŠāļīāļāđāļāļāļāļāļāļđāđāļāļĢāļīāļŦāļēāļĢ.
- āļāļąāļāļāļē Customer Segmentation āđāļĨāļ°āļāļīāļāļāļēāļĄāļāļąāļ§āļāļĩāđāļ§āļąāļāļāđāļēāļāļĨāļđāļāļāđāļē āđāļāđāļ Acquisition, Retention āđāļĨāļ° Engagement.
- āļāļķāļ āļāļĢāļ§āļāļŠāļāļ āđāļĨāļ°āļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāļāļēāļāļāļēāļāļāđāļāļĄāļđāļĨāļāđāļ§āļĒ SQL āđāļĨāļ°āđāļāļĢāļ·āđāļāļāļĄāļ·āļ Business Intelligence (BI).
- āļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļāļĩāļĄāļāļēāļĢāļāļĨāļēāļ āļŦāļāđāļ§āļĒāļāļēāļāļāļļāļĢāļāļīāļ āđāļĨāļ°āļāļĩāļĄ Data āđāļāļ·āđāļāļŠāļāļąāļāļŠāļāļļāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāđāļĨāļ°āļāļąāļāđāļāļĨāļ·āđāļāļāļāļļāļĢāļāļīāļāļāđāļ§āļĒāļāđāļāļĄāļđāļĨ.
- āļāļļāļāļŠāļĄāļāļąāļāļīāļŠāļģāđāļĢāđāļāļāļēāļĢāļĻāļķāļāļĐāļēāļĢāļ°āļāļąāļāļāļĢāļīāļāļāļēāļāļĢāļĩāļāļķāđāļāđāļ āļŠāļēāļāļēāļŠāļāļīāļāļī āļ§āļīāļĻāļ§āļāļĢāļĢāļĄāļĻāļēāļŠāļāļĢāđ āđāļĻāļĢāļĐāļāļĻāļēāļŠāļāļĢāđ āļāļĢāļīāļŦāļēāļĢāļāļļāļĢāļāļīāļ āļāļēāļĢāļāļĨāļēāļ āļŦāļĢāļ·āļāļŠāļēāļāļēāļāļ·āđāļāļāļĩāđāđāļāļĩāđāļĒāļ§āļāđāļāļ.
- āļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāđāļēāļ Data Analytics, CRM, Loyalty Analytics āļŦāļĢāļ·āļ Business Intelligence āļāļĒāđāļēāļāļāđāļāļĒ 2 āļāļĩ.
- āļŠāļēāļĄāļēāļĢāļāđāļāđāļāļēāļ SQL, Microsoft Excel āđāļĨāļ° Power BI āđāļāđāđāļāđāļāļāļĒāđāļēāļāļāļĩ.
- āļĄāļĩāļāļąāļāļĐāļ°āđāļāļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨ āđāļĨāļ°āļāļģāđāļŠāļāļāļāđāļāđāļŠāļāļāđāļāļ°āđāļāļīāļāļāļļāļĢāļāļīāļ.
- āļĄāļĩāļāļąāļāļĐāļ°āļāļēāļĢāļŠāļ·āđāļāļŠāļēāļĢāđāļĨāļ°āļāļēāļĢāļāļģāđāļŠāļāļ āļŠāļēāļĄāļēāļĢāļāļāļĢāļ°āļŠāļēāļāļāļēāļāļāļąāļāļāļđāđāđāļāļĩāđāļĒāļ§āļāđāļāļāđāļāđāļāļĒāđāļēāļāļĄāļĩāļāļĢāļ°āļŠāļīāļāļāļīāļ āļēāļ.
- āļŦāļēāļāļĄāļĩāļāļĢāļ°āļŠāļāļāļēāļĢāļāđāļāđāļēāļ Customer Analytics, CRM Platform āļŦāļĢāļ·āļ Python āļāļ°āđāļāđāļĢāļąāļāļāļēāļĢāļāļīāļāļēāļĢāļāļēāđāļāđāļāļāļīāđāļĻāļĐ.
- āļāļąāļāļĐāļ°āļāļĩāđāļāļģāđāļāđāļSQL.
- Power BI.
- Microsoft Excel.
- Customer Analytics.
- CRM & Loyalty Analytics.
- Dashboard Development.
- Analytical Thinking..
āļāļąāļāļĐāļ°:
Data Entry, CPA
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ25,000 - āļŋ35,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Marketing Data Centralization.
- Collect, consolidate, and manage marketing data from multiple sources (Google, Meta, TikTok, Line OA, etc.).
- Develop and maintain a centralized data system/dashboard for tracking KPIs.
- Ad Performance Analysis.
- Monitor, analyze, and report on ad campaign performance (CPL, CPA, ROAS, CTR, etc.).
- Provide recommendations to optimize campaigns based on data-driven insights.
- Support performance marketing team with testing hypotheses and scaling winning strategies.
- Data Entry & Accuracy.
- Ensure all marketing data is entered correctly and updated in a timely manner.
- Perform regular audits of marketing datasets to maintain data integrity.
- Formula & Reporting Expertise.
- Build advanced Excel/Google Sheets reports with formulas, pivot tables, and automated dashboards.
- Generate regular performance reports for management, highlighting insights and trends.
- Cross-Functional Collaboration.
- Work closely with the Performance Marketing team to align reporting with business objectives.
- Support Marketing Communication, Content, and Event teams with data insights.
- Provide data to support budget planning, forecasting, and campaign evaluations.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
2 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Digital Marketing, Google Analytics, Social media, Negotiation, Automation
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŋ30,000 - āļŋ35,000, āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Design and build interactive marketing dashboards (e.g., via Looker Studio) to track MQLs, conversion rates, and ROI across all channels.
- Track and analyze key marketing metrics (such as CAC, CPL, and sales pipeline contribution), delivering periodic performance reports with data-driven insights to optimize future strategies.
- Manage the local marketing budget to ensure maximum ROI, and report performance and strategic updates directly to the Country Manager.
- Partner with the local sales team on lead handover and conversion, while collaborating with Global HQ and strategic partners (e.g., Google Cloud Thailand) to drive co-marketing activities.
- Manage external marketing agencies and outsourced vendors to ensure high-quality execution and deliverables.
- Support the planning, management, and execution of events, tech seminars, and webinars to attract target audiences and convert them into potential leads.
- Support hands-on content creation and distribution across digital channels, including social media (Facebook, LinkedIn, and YouTube), tech blogs, and email campaigns.
- Report directly to the Country Manager on marketing performance, budget updates, and local strategic planning.
- Perform other duties as assigned by the supervisor.
- About you.
- Bachelor's degree in any field (Marketing, Communications, Business, or IT preferred).
- 2+ years of experience in B2B marketing, performance marketing, marketing analytics, or tech marketing (experience in the IT/Cloud/SaaS industry is highly preferred).
- Strong hands-on experience in data visualization and reporting tools, specifically Google Analytics 4 (GA4) and Looker Studio.
- Proven track record of tracking and optimizing B2B marketing metrics (e.g., CAC, CPL, MQL-to-SQL conversion, and pipeline velocity).
- Capable of managing end-to-end local marketing functions, with a willingness to support B2B event execution and partner marketing joint campaigns (e.g., with Google Cloud Thailand).
- Familiar with digital marketing platforms (Google Ads, Facebook Ads, LinkedIn Campaign Manager) and marketing automation tools.
- Familiar with productivity applications (Google Docs, Google Slides, Google Sheets, etc.).
- Fluent in English with excellent communication, negotiation, and stakeholder management skills.
- Social security fund.
- Work from home Allowance.
- Travel expenses (to office, customer, etc.).
- Company mobile and sim card / Laptop.
- Birthday day gift.
- Sales and marketing incentive (After passed probation period).
- Diligence Allowance (After passed probation period).
- Annual Bonus.
- Holidays as per Bank of Thailand financial institutions holiday calendar.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
1 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Appsflyer, Thai
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
Responsible for running and optimizing app acquisition campaigns. Closely monitor performance app acquisition of responsible campaigns and perform on-going analysis, learning, reporting and optimization plan for active campaigns/activities to ensure KPI achievement. Work closely with media planners and marketers to develop effective online media buying plans to ensure KPI achievement as well as manage execution and budget allocation. Provide recommendations for performance improvement and tracking tools when needed Take the ownership and initiate optimization strategies. Analyze an ...
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
4 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Microsoft SQL Server, Product Development, Marketing Strategy, Digital Marketing, Data Analysis
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Identify recurring Marketing workflows where AI can materially improve speed, quality, scalability or decision-making.
- Quantify each opportunity by establishing its current effort, pain points, user base and potential business value.
- Translate business needs into clear product requirements, user journeys, milestones and measurable success criteria.
- Build and test prototypes using SQL, Python, automation tools and generative AI technologies.
- Partner with developers, Technology teams and sponsoring Marketing teams to turn successful prototypes into reliable products.
- Design evaluation frameworks covering output accuracy, reliability, usability, safety and appropriate human review.
- Lead user research, pilots and iterative testing with analysts, channel specialists and other target users.
- Drive rollout, documentation, training and adoption in partnership with sponsoring teams.
- Measure hours saved, improvements in turnaround time and quality, adoption levels and downstream business impact.
- Maintain a prioritized portfolio of Marketing AI opportunities and communicate progress, learnings and recommendations to senior stakeholders.
- Monitor developments in AI capabilities and identify when existing products should be improved, expanded or retired.
- Contribute reusable tools, standards and playbooks that help Marketing teams build better AI-enabled workflows independently.
- What You'll Need to Succeed.
- 4-6 years of relevant experience in analytics, product analytics, marketing strategy, business operations, consulting, product management or a related field.
- Bachelor's degree or higher in a quantitative, technical or business discipline such as computer science, engineering, mathematics, statistics, economics or finance.
- Strong SQL skills and experience working independently with large or complex datasets.
- Hands-on experience with Python, scripting, workflow automation or similar technical tools.
- Experience defining hypotheses, designing experiments and translating results into actionable business recommendations.
- Strong product thinking, including the ability to understand user problems, define requirements and make pragmatic scope and prioritization decisions.
- Ability to break ambiguous problems into structured workstreams and move rapidly from analysis to execution.
- Strong written and verbal communication skills in English.
- Experience influencing stakeholders and communicating complex concepts clearly to both technical and non-technical audiences.
- A strong sense of ownership, attention to detail and commitment to delivering high-quality, dependable solutions.
- Ability to collaborate effectively across Marketing, Analytics, Product and Technology teams.
- Experience building GenAI applications, AI agents or automated analytical workflows.
- Familiarity with prompting, retrieval-augmented generation, APIs, model evaluation and human-in-the-loop workflows.
- Experience using AI-assisted development tools such as Codex, Cursor, Claude Code or Google AI Studio.
- It's Great if You Have.
- Experience writing product requirements, managing a product backlog or taking an internal product from prototype to scaled adoption.
- Knowledge of digital marketing, performance marketing, experimentation, SEO/AEO, campaign operations or personalization.
- Experience establishing quality-assurance and monitoring processes for data or AI products.
- Experience deploying internal tools or working closely with software engineers on production systems.
- What Success Looks Like.
- In your first year, you will help launch and scale a small number of cross-Marketing AI products with clear adoption and value metrics. These products should deliver measurable improvements in employee productivity, output quality or business outcomes - and have clearly defined ownership, documentation, quality controls and maintenance plans.
- STRA#ANLS#MRKT#3#LI-TR2 data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner.
- Please review our Hiring Process Guidelines before your interview - click here to learn how interviewing at Agoda works.
- Discover more about working at Agoda.
- Agoda Careers https://careersatagoda.com.
- Facebook https://www.facebook.com/agodacareers/.
- LinkedIn https://www.linkedin.com/company/agoda.
- YouTube https://www.youtube.com/agodalife.
- Equal Opportunity Employer.
- At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
- We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
- Disclaimer.
- We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
2 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Product Development, Marketing Strategy, Digital Marketing, Recruitment, Automation
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Identify recurring Marketing workflows where AI can materially improve speed, quality, scalability or decision-making.
- Quantify each opportunity by establishing its current effort, pain points, user base and potential business value.
- Translate business needs into clear product requirements, user journeys, milestones and measurable success criteria.
- Build and test prototypes using SQL, Python, automation tools and generative AI technologies.
- Partner with developers, Technology teams and sponsoring Marketing teams to turn successful prototypes into reliable products.
- Design evaluation frameworks covering output accuracy, reliability, usability, safety and appropriate human review.
- Lead user research, pilots and iterative testing with analysts, channel specialists and other target users.
- Drive rollout, documentation, training and adoption in partnership with sponsoring teams.
- Measure hours saved, improvements in turnaround time and quality, adoption levels and downstream business impact.
- Maintain a prioritized portfolio of Marketing AI opportunities and communicate progress, learnings and recommendations to senior stakeholders.
- Monitor developments in AI capabilities and identify when existing products should be improved, expanded or retired.
- Contribute reusable tools, standards and playbooks that help Marketing teams build better AI-enabled workflows independently.
- What You'll Need to Succeed.
- 2-4 years of relevant experience in analytics, product analytics, marketing strategy, business operations, consulting, product management or a related field.
- Bachelor's degree or higher in a quantitative, technical or business discipline such as computer science, engineering, mathematics, statistics, economics or finance.
- Strong SQL skills and experience working independently with large or complex datasets.
- Hands-on experience with Python, scripting, workflow automation or similar technical tools.
- Experience defining hypotheses, designing experiments and translating results into actionable business recommendations.
- Strong product thinking, including the ability to understand user problems, define requirements and make pragmatic scope and prioritization decisions.
- Ability to break ambiguous problems into structured workstreams and move rapidly from analysis to execution.
- Strong written and verbal communication skills in English.
- Experience influencing stakeholders and communicating complex concepts clearly to both technical and non-technical audiences.
- A strong sense of ownership, attention to detail and commitment to delivering high-quality, dependable solutions.
- Ability to collaborate effectively across Marketing, Analytics, Product and Technology teams.
- Experience building GenAI applications, AI agents or automated analytical workflows.
- Familiarity with prompting, retrieval-augmented generation, APIs, model evaluation and human-in-the-loop workflows.
- Experience using AI-assisted development tools such as Codex, Cursor, Claude Code or Google AI Studio.
- It's Great if You Have.
- Experience writing product requirements, managing a product backlog or taking an internal product from prototype to scaled adoption.
- Knowledge of digital marketing, performance marketing, experimentation, SEO/AEO, campaign operations or personalization.
- Experience establishing quality-assurance and monitoring processes for data or AI products.
- Experience deploying internal tools or working closely with software engineers on production systems.
- What Success Looks Like.
- In your first year, you will help launch and scale a small number of cross-Marketing AI products with clear adoption and value metrics. These products should deliver measurable improvements in employee productivity, output quality or business outcomes - and have clearly defined ownership, documentation, quality controls and maintenance plans.
- Please review our Hiring Process Guidelines before your interview - click here to learn how interviewing at Agoda works.
- Discover more about working at Agoda.
- Agoda Careers https://careersatagoda.com.
- Facebook https://www.facebook.com/agodacareers/.
- LinkedIn https://www.linkedin.com/company/agoda.
- YouTube https://www.youtube.com/agodalife.
- Equal Opportunity Employer.
- At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
- We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
- Disclaimer.
- We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
2 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Marketing Strategy, Digital Marketing, eCommerce, Negotiation
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
- Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
- No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you're ready to begin your best journey and help build travel for the world, join us.
- The Marketing team at Agoda is highly data-driven and focused on developing at-scale, measurable marketing programs designed to improve the lifetime value of Agoda customers. The team combines a blend of the best analysts, marketing strategists and data scientists, collectively building a team that thrives on data, creative ideas and technology. The Marketing leadership fosters a great learning environment, providing the opportunity to learn and grow by working closely with experts from a diverse variety of backgrounds from across the globe.
- Experimentation and optimizing campaign performance: Experiment with ads/campaign structures and bidding& pricing strategies on partners such as Google, Bing, Tripadvisor, Trivago and other search engines. Adapt to new product features and roll out changes from successful tests.
- Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding impact on bookings from large scale TV campaigns or demand elasticity from pricing optimization) and liaise with product teams on implementation roadmap.
- Reporting, analysis and insights: Building dashboards to track performance, derive insights, understand growth levers and communicate recommendations via presentations to stakeholders.
- Bachelor's degree or higher from top university in a quantitative subject (computer science, mathematics, engineering business or science).
- Excellent verbal and written communication skills in English.
- 2+ years experience in data crunching from top-tier consulting, investment banking, private equity or strategy/business for a fast-growing globaltech company.
- Experience in one or more data analysis packages or databases, eg., SAS, R, SPSS, Python, VBA, SQL and visualization tools, eg. Tableau, Power BI.
- Ability to move fast and be efficient, making decisions on objective evidence rather than subjective gut feel.
- Innate desire to take ownership, make an impact and influence outcomes.
- Excellent organizational skills, attention to detail and ability to work independently.
- Experience in digital marketing or ecommerce.
- Experience with A/B testing and other testing metrics.
- Strong presentation and negotiation skills.
- Skills that foster collaboration and team spirit.
- STRA#ANLS#MRKT#3#LI-TR2 data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics power bi.
- Please review our Hiring Process Guidelines before your interview - click here to learn how interviewing at Agoda works.
- Discover more about working at Agoda.
- Agoda Careers https://careersatagoda.com.
- Facebook https://www.facebook.com/agodacareers/.
- LinkedIn https://www.linkedin.com/company/agoda.
- YouTube https://www.youtube.com/agodalife.
- Equal Opportunity Employer.
- At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
- We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
- Disclaimer.
- We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
āļāļĢāļ°āļŠāļāļāļēāļĢāļāđ:
5 āļāļĩāļāļķāđāļāđāļ
āļāļąāļāļĐāļ°:
Quality Assurance, Industry trends, Negotiation, Power point, Purchasing
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- We are a leading Automotive Connector Company looking for a skilled Account Manager to join our team. As an Account Manager, you will be responsible for building and maintaining relationships with key clients in the automotive industry in ASEAN (Thailand/Malaysia/Philippines/Singapore). You will play a pivotal role in ensuring customer satisfaction and will be primarily responsible for retaining and growing accounts while also developing new business opportunities. We are looking for an individual who is a driven sales professional with a deep understanding of the automotive indust ...
- Developing and executing account strategies to meet revenue targets and increase market share for automotive connectors and other key product folio Drive, report, monitor key metrics to achieve sales KPI which aligned with organization goal, which are new business wins (TERP), Revenue achievement and margin Building and maintaining strong relationships with existing clients, including regular communication Identifying and pursuing new business opportunities with potential clients in the automotive industry for 7 years revenue pipeline Drive new business with customer engineer & purchasing through sales & marketingactivities plan Maintaining up-to-date knowledge of industry trends, competitors, and customer needsto drive sales growth Collaborating with cross-functional teams in ASEAN and Global team, including sales,engineering, production, and quality assurance, to ensure consistent delivery of high-quality products and services, and other Sales KPI Negotiating pricing, contracts, and delivery terms with clients to maximize profitability and customer satisfaction Competencies Values: Integrity, Accountability, Inclusion, Innovation, Teamwork.
āļāļąāļāļĐāļ°:
Microsoft SQL Server, Digital Marketing, Data Analysis, Recruitment, Leadership Skill
āļāļĢāļ°āđāļ āļāļāļēāļ:
āļāļēāļāļāļĢāļ°āļāļģ
āđāļāļīāļāđāļāļ·āļāļ:
āļŠāļēāļĄāļēāļĢāļāļāđāļāļĢāļāļāđāļāđ
- Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
- Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
- Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
- Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, or science).
- Ability to communicate fluently in English.
- 2+ years' experience in top-tier management consulting, investment banking, private equity, or strategy/business operations for a fast-growing globally operating tech company.
- Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL.
- Good numerical reasoning skills.
- Proficiency in Excel.
- Intellectual curiosity.
- Experience in digital marketing.
- Academic research experience.
- STRA#ANLS#MRKT#3#LI-TR2 data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner.
- Please review our Hiring Process Guidelines before your interview - click here to learn how interviewing at Agoda works.
- Discover more about working at Agoda.
- Agoda Careers https://careersatagoda.com.
- Facebook https://www.facebook.com/agodacareers/.
- LinkedIn https://www.linkedin.com/company/agoda.
- YouTube https://www.youtube.com/agodalife.
- Equal Opportunity Employer.
- At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
- We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
- Disclaimer.
- We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

āļāļĢāļ°āđāļĄāļīāļāđāļāļīāļāđāļāļ·āļāļ
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