เงื่อนไขการค้นหา

ทักษะ:

Sales, Hadoop, ETL, English

ประเภทงาน:

งานประจำ

• Bachelor's degree or equivalent practical experience.
• 10 years of experience in software sales or account management.
• Experience promoting analytics, data warehousing, or data management software.
• Ability to communicate fluently in English and Thai fluently in order to communicate for APAC customers.
• Preferred qualifications:Experience with business intelligence front-end, data analytics middleware, or back-end data warehouse technologies.
• Experience working with sales engineers and customer technical leads to build business cases for transformation and accompanying plans for implementation.
• Understanding of data analytics technology stack (e.g., Hadoop/Spark, Columnar data warehouses, data streaming, ETL and data governance, predictive analytics, data science framework, etc.).
• Understanding of Google Cloud Data and Analytics offerings (e.g., BigQuery, Looker, Dataproc, Pub/Sub, etc.).
• Ability to engage and influence executive stakeholders as a business advisor and thought leader in data and analytics.
• Excellent business acumen and problem-solving skills.
• As a member of the Google Cloud team, you inspire leading companies, schools, and government agencies to work smarter with Google tools like Google Workspace, Search, and Chrome. You advocate for the innovative power of our products to make organizations more productive, collaborative, and mobile. Your guiding light is doing what's right for the customer, you will meet customers exactly where they are at and provide them the best solutions for innovation. Using your passion for Google products, you help spread the magic of Google to organizations around the world.
• In this role, you will build an understanding of our customers businesses and bring expertise to executive-level relationships to help them deliver their strategies. You will leverage expertise promoting data analytics and work with account teams, customer engineering, and partners to ensure customer outcomes.
• Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
• ResponsibilitiesCalibrate business against the objectives and key results, forecast and report the state of the business for the assigned territory.
• Build and maintain executive relationships with customers as the data analytics subject matter expert, influencing long-term strategic direction.
• Develop and execute strategic account plans, including a broader enterprise plan across key industries. Focus on building accounts.
• Assist customers in identifying use cases suitable for Google Cloud Data and Analytics solutions, articulating key solution differentiation and measurable business impacts.
• Work with Google account and technical teams to develop and drive pipelines, and provide expertise. Develop Go-To-Market (GTM) efforts with Google Cloud Platform partners.
• Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See alsoGoogle's EEO Policy andEEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing ourAccommodations for Applicants form.

ทักษะ:

Data Analysis, Industrial Engineering, Finance

ประเภทงาน:

งานประจำ

• Insight Generation & Strategic Recommendations: Utilize deep knowledge of market trends, financial data, and process standards to generate actionable insights. Develop analysis models and provide strategic recommendations that drive business decisions and improvements in operations efficiency.
• Business Analysis & Reporting: Collaborate with senior management to analyze internal and external data sources. Develop comprehensive reports and presentations that support key initiatives and guide the business in trial projects and rollouts.
• Model Development & Data Integrity: Develop and maintain robust analytical models that support business analysis. Ensure data integrity and create best-practice reports based on thorough data analysis and visualization.
• Stakeholder Collaboration & Facilitation: Lead and facilitate collaboration across the business, ensuring alignment and engagement among stakeholders. Work closely with process and budget owners to achieve business objectives and implement strategic recommendations.
• Project Tracking & Risk Mitigation: Regularly monitor and update project progress, ensuring milestones are met. Develop and execute mitigation plans for any critical issues, ensuring the successful delivery of projects.
• Consultation & End-User Support: Provide initial consultation and tailored solutions to stakeholders based on business analysis. Occasionally develop dashboards and train end users to ensure effective use of insights and tools.
• 2-5 years+ working experience in Data Analytics, Process Improvement.
• Master's Degree in Industrial Engineering, Supply Chain, Finance, IT or related field.
• Knowledge of basic statistical techniques for hypothesis testing or prediction (Correlation, Regression, etc.).
• Skilled in process improvement, project management, and data analysis.
• Ability to use data and metrics to test theories, back up assumptions, develop business cases, complete root cause analysis and measure success.
• Ability to work independently and under pressure with business-partnering mindset.
• Good presentation, communication and influencing skills.
• Able to work 2 sites' office ( Head office - Phattanakarn, and Central office - Nawamin office).
• CP AXTRA | Lotus's
• CP AXTRA Public Company Limited.
• Nawamin Office: Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .

ทักษะ:

Data Analysis, Finance, SQL, English

ประเภทงาน:

งานประจำ

• Data Analysis: Conduct in-depth analysis of retail and wholesale business data to address specific business questions and challenges.
• Insight Generation: Interpret results from dashboards and data analyses to develop actionable insights and strategic recommendations.
• Requirement Gathering: Identify business problems, gather requirements, and propose potential solutions, including leveraging AI to enhance business operations.
• ML Model creation: Create data analytic model including both deterministic and machine learning model.
• AI vendors coordination: Collaborate with external AI suppliers to align project objectives with technological capabilities.
• Cross-Departmental Collaboration: Work with various departments to develop and implement data-driven strategies that optimize business processes and decision-making.
• Communication: Act as a liaison between stakeholders and AI vendors, ensuring clear communication and understanding of project requirements.
• Data analytics and AI Strategy Design: Design and recommend how Business Intelligence (BI) and AI technologies can address business problems and provide further insights.
• Decision-making support: Present key findings from own analysis and strategic recommendations to business counterparts and senior management, focusing on project approaches and strategic planning.
• Master's degree in Finance, Business, Engineering, or a related field.
• Strong business acumen, with a deep understanding of retail and wholesale business.
• 3+ years of proven experience as a data analytic role (Retail or E-Commerce business is preferable).
• Hands-on Experience in SQL, data cloud platform (e.g., Databricks, Snowflake, GCP, or AWS), and high proficiency in Excel.
• Good Knowledge of Statistics.
• Experience in Python (Pandas, Numpy, SparkSQL), Data Visualisation (Tableau, PowerBI) is a plus.
• Excellent communication skills with the ability to convey complex findings to non-technical stakeholders.
• Fluent in Thai and English.
• Having a good attitude toward teamwork and willing to work hard.
• CP AXTRA | Lotus's
• CP AXTRA Public Company Limited.
• Nawamin Office: Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Market Planning, SAP, English

ประเภทงาน:

งานประจำ

• Be responsible for design, implement and deliver the functional and technical components of the planning, budgeting and forecasting solutions.
• Able to interact with clients to understand the business requirements to conclude blueprint, configuration, testing, migration, support, and continuous enhancements.
• Responsibilities include, using knowledge of accounting functions on General Ledger, Asset Accounting, Controlling and Profitability process areas.
• Focusing on SAP SAC and SAP Datasphere on development and deployment of business Intelligence Solutions to support business requirements using SAC Planning.
• SAP Business Planning and Consolidations BPC, BusinessObjects Business Intelligence BO BI and Data Warehouse BW skills will be an advantage.
• Bachelor s degree in IT or equivalent work experience.
• Minimum 2 years of experience in managing SAP Analytical and/or Reporting work streams for large or complex systems for various industry sectorsExperience on SAC BPC as a planning tool,.
• Designing implementing data models and data conversionDemonstrates thought proven abilities and technical experience with SAP.
• Analytics technologies S 4HANA Embedded Analytics, BW 4HANA, SAP Fiori, Google Azure AWS Cloud technologies and BI visualization tools.
• Good Understanding of SAP data structures, End to End dataflow, SAC predictive capabilities, augmented analytics, planning, budgeting, forecasting, etc.
• Ability to be flexible and work analytically in a problem solving environment.
• Ability to travel to client sites local or overseas.
• Excellent leadership, communication written and oral and interpersonal skills.

ทักษะ:

Statistics, Finance, SQL, Korean, English

ประเภทงาน:

งานประจำ

• Own and manage marketing spend with large Meta Search Engine (MSE) partners within and outside South Korea.
• Manage the commercial relationship with MSE partners, including commercial terms, bidding and pricing strategies, and technical implementation.
• Decide in coordination with the Bidding and Pricing teams strategies that deliver expected ROIs and revenue growth.
• Track detailed performance/KPIs and deliver regular data-driven actionable insights to improve results.
• Succinctly communicate the results, ideas, and business statistics with different stakeholders.
• Ensure the advertiser implements the right Agoda APIs and related technological innovations.
• Be immersed and intimately familiar with the entire booking funnel including the user experience and conversion drivers between the advertiser and Agoda.
• Build long term relationships with advertisers that foster new opportunities and continuous growth in return from advertising dollars.
• Bachelor Degree in Computer Science/Statistics/Math or Engineering or Economics and Finance.
• Fluent in English and Korean with strong communication skills (both written and verbal).
• Self-motivated person with "Get it done!" attitude.
• Passionately analytical with strong ability to think logically and excellent problem-solving skills.
• Proficient in business intelligence tools and data warehouse i.e. SQL, Tableau and MS Excel.
• Ability to effectively communicate, influence and persuade with different levels of stakeholders (including Senior Management) with proven strong commercial acumen.
• Ability to represent Agoda with experience in interacting with external senior level executives.
• Strong analytical and statistical analysis skills to extract insights and recommendations.
• Proven business development and/or account management track record with experience in online marketing.
• 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.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

SQL, Tableau, Big Data

ประเภทงาน:

งานประจำ

• Spearhead the development, execution, and optimization strategy for growing Agoda's new & emerging marketing channels.
• Conduct end-to-end analysis of large, complex datasets related to channel performance, user behavior, and market trends, translating raw data into actionable insights.
• Develop hypotheses, design experiments (e.g., A/B tests), and build structured analyses to rigorously evaluate campaign effectiveness and drive data-driven decisions for channel growth.
• Partner closely with various business functions to identify opportunities, analyze, and interpret trends or patterns in complex data sets using different techniques and tools such as SQL or Tableau.
• Communicate complex findings, performance updates, and strategic recommendations clearly and concisely to key stakeholders, including senior management.
• Extensive Experience: 5+ years in Data Analyst position or otherwise in projects involving big data preferably in the tech, e-commerce, or digital marketing industry. Bachelor's degree in Computer Science/Statistics/Math or Engineering or Economics and Finance is a plus.
• Data-Driven Approach: Strong analytical skills with the ability to analyze data, translate data into actionable insights, and generate impactful recommendations. Proficient in business intelligence tools and data warehouse i.e. SQL, Tableau and MS Excel.
• Innovative Problem-Solving Skills: The ability to tackle complex challenges in a non-linear fashion is essential. We seek a resourceful candidate who can effectively navigate the organization to gather necessary information and implement innovative solutions while adapting to evolving scenarios and leveraging valuable resources creatively.
• Strong Communication Skills: Exceptional writing and verbal communication abilities, with proficiency in creating impactful and visually appealing presentations.
• Stakeholder management: Ability to effectively communicate, influence and persuade with different levels of stakeholders (including Senior Management) with proven strong commercial acumen.
• Experience in digital or social media marketing.
• Experience in hypothesis testing frameworks, statistical analysis, and using Python/R for data manipulation and analysis.
• 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.
• To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.