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Experience:

2 years required

Skills:

SQL, English

Job type:

Full-time

• Manage end-to-end marketing initiatives such as CRM to drive new user acquisition and retention, including mechanics planning, budget optimization, user segment breakdown, testing and performance analysis.
• Regularly review and analyze key marketing metrics to provide insights that guide decision-making for campaign improvement.
• Conduct data-driven analysis to provide actionable insights and recommendations for current business direction on ShopeePay, Digital Products and Credit businesses.
• Design analysis framework, extract relevant data, run in-depth analysis, and deliver findings using suitable visualization and reporting tools to communicate and collaborate with related stakeholders.
• Support other special projects as requested.
• Requirements: At least 1 - 2 years of work experiences in areas of marketing analytics, business analytics, data analytics, strategy consulting, e-commerce or tech industries.
• Strong technical skills with experience in SQL is a must.
• Intermediate MS Excel and Google Sheet skills, capable of utilizing different formulas and features to drive desired result.
• Strong analytical and logical reasoning skills.
• Strong sense of ownership over their work and long-term goals; a self-starter.
• Excellent communication skills in both written and verbal format in Thai and English.
• Reliable and good team player who enjoys a fast-paced and iterative environment.

Experience:

2 years required

Skills:

SQL, English

Job type:

Full-time

• Manage marketing campaign initiatives including mechanics planning, budget optimization, user segment breakdown, testing and performance analysis.
• Provide details plans for marketing campaigns or testing initiatives, aligning them with the overall business objectives.
• Regularly review and analyze key commercial/marketing metrics to provide insights that guide decision-making for campaign improvement.
• Conduct data-driven analysis to serve current business direction for ShopeePay, SeaMoney and related businesses.
• Design analysis framework, extract relevant data, run in-depth analysis, and deliver findings using suitable visualization and reporting tools to communicate and collaborate with related stakeholders.
• Provide actionable insights and recommendations that will be used to support or devise new marketing strategies.
• Support other special projects as requested.
• Requirements: Bachelor or Master s degree in Marketing, Business, Economics, Data Analytics, or related field of study.
• At least 1 - 2 years of work experiences in areas of marketing analytics, business analytics, data analytics, strategy consulting, e-commerce or tech industries.
• Strong technical skills with experience in SQL is a must.
• Intermediate MS Excel and Google Sheet skills, capable of utilizing different formulas and features to drive desired result.
• Strong analytical and logical reasoning skills.
• Excellent communication skills in both written and verbal format in Thai and English.
• Reliable and good team player who enjoys a fast-paced and iterative environment.

Experience:

1 year required

Skills:

SQL, Statistics, Python, English

Job type:

Full-time

• Gather requirements and refine scope for data requests/projects from business users and management.
• Create comprehensive SQL queries to generate and conduct reports/dashboards for ad hoc requests from different business units.
• Develop and maintain ETLs for automatic reports and dashboards on the in-house data platform.
• Collaborate with relevant local and regional teams on data acquisition, alignment of business logic/definitions, and functional updates.
• Analyze quantitative data using statistical techniques and provide actionable insights to inform decisions/strategies.
• Work closely with business users in rolling out consumer campaigns with data and analysis support.
• Requirements:Bachelor's/Master's degree, preferably in Analytics, Statistics, Computer Science or Engineering.
• At least 1-2 years of experience in an Analytics, Business Intelligence or Data Engineer role with large, complex, high velocity data is preferred.
• Strong foundation in data query/manipulation using SQL and data visualization.
• Capable of making impactful contributions both as an individual and as a member of a team.
• Able to switch hats between data/technical speak and business/layperson speak.
• Strong analytical and problem-solving skills - possesses a relentless need for investigation and data exploration.
• Results-oriented with a keen eye for detail and ability to solve problems creatively and quickly.
• It s great if you have:Fluency in English.
• Experience in e-commerce or digital payment platforms.
• A global outlook and exposure to work with people from different cultures.
• Python/JAVA or similar programming background.

Experience:

2 years required

Skills:

SQL, English

Job type:

Full-time

• Manage end-to-end marketing initiatives such as CRM to drive new user acquisition and retention, including mechanics planning, budget optimization, user segment breakdown, A/B testing and performance analysis.
• Provide details plans for marketing campaigns or A/B testings, aligning them with the overall business objectives.
• Regularly review and analyze key marketing metrics to provide insights that guide decision-making for campaign improvement.
• Conduct data-driven analysis to provide actionable insights and recommendations for current business direction on ShopeePay, Digital Products and Credit businesses.
• Design analysis framework, extract relevant data, run in-depth analysis, and deliver findings using suitable visualization and reporting tools to communicate and collaborate with related stakeholders.
• Support other special projects as requested.
• Requirements At least 1 - 2 years of work experiences in areas of marketing analytics, business analytics, data analytics, strategy consulting, e-commerce or tech industries.
• Strong technical skills with experience in SQL is a must.
• Intermediate MS Excel and Google Sheet skills, capable of utilizing different formulas and features to drive desired result.
• Strong analytical and logical reasoning skills.
• Strong sense of ownership over their work and long-term goals; a self-starter.
• Excellent communication skills in both written and verbal format in Thai and English.
• Reliable and good team player who enjoys a fast-paced and iterative environment.

Experience:

5 years required

Skills:

Excel, SQL

Job type:

Full-time

• Own short-term and long-term workforce planning for FBS operations, including peak planning (e.g. campaign, mega sale, seasonal spikes).
• Translate demand forecasts and volume projections into manpower requirements across warehouses and fulfillment nodes.
• Balance service level targets with cost efficiency through effective workforce sizing and deployment.
• Monitor workforce productivity, utilization, and efficiency metrics; identify gaps and drive improvement initiatives.
• Develop and track key WFM KPIs such as staffing accuracy, shrinkage, overtime, productivity, and attendance.
• Drive continuous improvement projects to optimize labor cost and operational performance.
• Requirements: Bachelor s degree in Engineering, Operations Management, Business, Analytics, or a related field.
• 5-8+ years of experience in Workforce Management, Capacity Planning, Operations Planning, or Supply Chain (logistics, e-commerce, or fulfillment preferred).
• Strong analytical skills with experience using data to drive decisions (Excel, SQL, BI tools preferred).
• Proven experience managing workforce planning in a fast-paced, high-volume operational environment.
• Strong stakeholder management and communication skills.
• Ability to work under pressure and manage ambiguity in a rapidly scaling business.
• Experience with large-scale operations or multi-site environments is a strong plus.

Skills:

Express, Finance, SQL, English

Job type:

Full-time

• Initiate and develop new strategic projects or improvement initiatives to enhance logistics operations, aiming to reduce costs and ensure smooth, efficient processes.
• Conduct in-depth analysis of potential options, solutions, and their operational or financial impacts to support effective decision-making.
• Monitor performance of implemented initiatives, identify key issues or bottlenecks, and provide timely solutions or recommendations for continuous improvement.
• Collaborate with cross-functional teams such as Operations, Planning, and Finance to align strategies with business goals.
• Prepare business reports, performance analysis, and presentations to management, highlighting project outcomes, challenges, and opportunities.
• Requirements: Bachelor s or Master's Degree in Business Administration or any relevant field.
• Ability to work successfully in a dynamic environment.
• Capability to communicate clearly, concisely and effectively to all employees at all levels of the organization.
• Proficient in Microsoft Excel and dashboard visualization. (SQL is a plus).
• Excellent communication in both verbal and written English.

Skills:

Compliance, Data Analysis, SQL

Job type:

Full-time

• Enforce enterprise data quality management framework.
• Develop data profiling and observe any trends or issues to raise with data stewards or senior management.
• Define data quality metrics requirements with Data Stewards (e.g. DQ dimensions, business rules, data quality index, reports) in compliance with Data Quality standards.
• Generate DQI dashboard based on the results.
• Consolidate DQI performance results on overall data health at an enterprise level.
• Coordinate remediation plans with Data Stewards.
• Monitor outcome of data quality improvement initiatives.
• Support business engagement on data quality improvement initiatives.
• Collaborate with DataX (Centralized Data Hub) Define data quality metrics requirements in compliance with data quality standards for data in SCB data zone.
• Monitor DQI performance results on overall data health for data in SCB data zone.
• Perform data quality profiling, issues investigation and remediation plan in SCB data zone.
• Consult on the escalation of data quality issues investigation and remediation to DataX Data Governance.
• Qualification Senior Bachelor s or master s degree in information systems, computer science, information technology or related discipline.
• Experience in data management e.g. data governance program implementation and data quality program implementation in banking or other industry.
• Experience in data analysis, data profiling, and communicating concepts and results to a variety of audiences.
• Experience in using data visualization or reporting tools i.e. Business Intelligence tool, Data Quality tool, or statistical package.
• Good knowledge of programming languages particularly in SQL and statistical knowledge.
• Good understanding of banking products, respective data domains, as well as relationships with system domains and banking data concepts with emphasis on metadata definitions (business and technical).
• Ability to absorb information and data from multiple sources, apply strong analytical skills, and provide thoughtful and strategic recommendations to deliver tangible business value.
• Ability to work on cross-functional units with excellent verbal & written communication skills.
• Junior Bachelor s degree in information systems, computer science, information technology or related discipline.
• Good knowledge of programming languages particularly in SQL and statistical knowledge.
• Experience in data analysis, data profiling, and communicating concepts and results to a variety of audiences.
• Experience in using data visualization or reporting tools i.e. Business Intelligence tool, Data Quality tool, or statistical package.
• We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.

Skills:

Big Data, SQL, English

Job type:

Full-time

• Gather, organize, and analyze data as it pertains to fraud case development through the use of.
• analytical, tracking, and data management toolsCoordinate with the risk team, operations team and customer service team to further develop.
• fraud cases, and report to product teams abroad to come up with anti-fraud processes for changing transactions patterns and trendsDevelop well-defined tools related to detecting suspicious points of fraud activity using raw data.
• and identifying potential cases through the use of in-house tools to update and query the databaseSet up process to deal with possible issues (new and existing features, promotions, workflows,.
• projects)Deal with systemic abnormality and complexity in Operations functions.
• Demonstrate leadership to guide the overall project requirements in initiation, planning, execution,.
• monitoring, evaluation, and closure
• Requirements:Bachelor s or Master s degree in Engineering, BBA, or any related field. Fresh graduates are.
• welcome to applyAbility to analyze big data for patterns or business trends, and take findings and communicate.
• them effectivelyProficient in working with numbers and data organization, especially with MS Excel or Gsheet.
• Detail-oriented and organized. Works well in a small team environment.
• Excellent interpersonal, communication skills and good command of English.
• Proficient in using SQL to analyze data, drive insights, and create dashboards and visualizations.
• is a plus

Experience:

1 year required

Skills:

Financial Analysis, Excel, SQL, English

Job type:

Full-time

• Analyze financial performance both at platform level and on targeted initiative basis - identify business opportunities and influence budget approval and allocation process based on financial analysis.
• Analyze financial performances across different Shopee markets in Southeast Asia and other Regions.
• Manage internal cost and performance tracking process with the goal of improving this workflow over time.
• Summarize key results and present to senior management on a bi-weekly basis or as required for project approvals.
• Liaise internally and externally across multiple teams to obtain necessary information for analysis and ensure successful execution of given projects.
• Support other functions in budget planning, budget request process inquiries, and budget execution on a daily basis.
• Work closely with budget owners to support the annual, quarterly and monthly budget process. Perform analysis on prior years/quarters/months spending.
• Build forecasts using historic trends plus commercial input from business functions. Perform the monthly analysis and discuss the forecast with the related budget owners. Control of the monthly spending versus expected forecast.
• Requirements: 1-2 years of experience in related field.
• Prior experience in audit, finance, banking or consulting is an advantage.
• Proficient with financial terms and concepts with good understanding of standard business P&L items.
• Strong stakeholders management and communication skills.
• Outstanding structural thinker, with strong time-management and organizational skills.
• Self-driven with willingness to learn and improve.
• Strong sense of responsibility and able to work under pressure to deliver results.
• Fluent in English, Proficient in Excel; Technical skills such as SQL is a plus but not required.

Experience:

No experience required

Skills:

Python, SQL, Database Administration, English, Thai

Job type:

Full-time

• Guide and train new customers to confidently use our system.
• Monitor customer activity, troubleshoot basic issues, and coordinate with internal teams.
• Analyze and manage customer data to ensure readiness for real-time use.
• Work closely with logistics, operations, and tech teams to deliver a seamless onboarding experience.
• Travel and visit customer sites.
• Experience in Customer Support or Data Analysis is a plus new graduates are welcome to apply.
• Proficiency in Excel and SQL; Python skills are a plus.
• Excellent communication skills in both Thai and English.
• Adaptable, quick to learn, and able to work under pressure.
• Educational background in IT, Computer Science, or related fields is preferred.
• Allows you to apply your skills in data, technology, and customer service.
• Supports your personal and professional development.

Experience:

1 year required

Skills:

Project Management, SQL

Job type:

Full-time

• Own E2E returns performance: set and deliver SLAs.
• Drive process optimization, root cause analysis, and incident management for SLA breaches; implement corrective measures and continuous improvement.
• Balance speed vs cost: model trade offs and recommend operational choices to optimize both customer experience and unit economics.
• Partner with internal and external parties to ensure changes are safe and SLA-compliant.
• Lead ad-hoc incident response affecting return experience and communicating status/mitigations to stakeholders and leadership.
• Requirements: 1 - 3 years in high-volume e commerce operations, preferably return operations.
• Hands-on SLA ownership, process improvement and incident management.
• Strong analytics: comfortable with metrics, dashboards and basic SQL.
• Strong stakeholder communication skills.

Skills:

Express, SQL, Excel, English

Job type:

Full-time

• Analyze internal and external data (generally with SQL, Excel, Python).
• Apply structured framework to estimate hard-to-find information and deliver original insights.
• Improve existing estimation and forecast solutions by scrutinizing current assumptions, identifying how our understanding would change if assumptions change, and quantifying these uncertainty (i.e. sensitivity analysis).
• Translate complex data analysis into accessible business-focused reports and recommendations.
• Present results to management on a regular basis.
• Serving as in-house consultant for data-driven solutions.
• Collaborate with stakeholders to build analytics capabilities.
• Maintain data pipelines, dashboards and automations.
• Requirements: Bachelor degree or higher in a relevant field of study.
• Experience working with one or more languages for querying and analysis (e.g. SQL, Python). SQL is minimum required.
• Experience developing automation scripts in Python with Linux environment.
• Strong analytical skills and must be comfortable with analysis of quantitative data.
• Good structural thinker.
• Experience working with multiple stakeholders across various divisions.
• Satisfactory understanding in English.
• Self-driven with willingness to learn and improve.
• Strong sense of responsibility and ability to work in a fast-paced and growth changing environment.
• Experience working with unstructured data is not necessary but is a plus.

Experience:

2 years required

Skills:

SQL, Python, Automation, English

Job type:

Full-time

• Act as project owner to prepare, process, and validate data for business needs.
• Collaborate with stakeholders on building data pipeline and gather into internal tables using SQL, Inhouse-tools and Python.
• Develop reports, dashboards, and automation solutions using SPARK, SQL, Python, Excel, and in-house tools as business requirements.
• Ensure data integrity by sanitizing, validating, and aligning numbers with accurate logic.
• Proactively seek data insights and make data-driven recommendations to the business team.
• Requirements: Master's or bachelor's degree in quantitative or relevant fields.
• 2-5 years of experience in Data Analytics, Business Intelligence, or Data Engineering or similar roles in fast-growing industries.
• Experience in project & stakeholder management.
• Strong SQL skills for data querying and Excel proficiency (Python is a plus).
• Strong English communication skills, both verbal and written.
• Detail-oriented with a passion for building from the ground up.

Experience:

5 years required

Skills:

Electrical Engineering, SQL, Tableau

Job type:

Full-time

• Bachelor's degree in Mechanical or Electrical Engineering or equivalent practical experience.
• 5 years of experience with managing the end-to-end construction project/product lifecycle (e.g., process developments, implementation and improvement.
• 5 years of infrastructure experience in the operation and construction of data center, semiconductor, pharmaceutical, power, nuclear, or other 24X7 mission critical facilities.
• 10 years of experience managing end-to-end project/product lifecycle (e.g., process developments, implementation and improvement).
• 10 years of infrastructure experience in the operation and construction of data center, semiconductor, pharmaceutical, power, nuclear, or other 24X7 mission critical facilities.
• Experience leading cross-functional process improvements and the development and implementation of construction Quality and Commissioning Programs.
• Experience with the construction of hyperscale data centers.
• Experience with SQL, Tableau, metrics dashboards, data visualization, and Google Workspace.
• Knowledge of data center structural, electrical, mechanical, and controls equipment.
• Our mission as Construction Quality and Commissioning (QCx) is to design, build, and operate a fact-based quality management system that provides predictable quality and a closed loop learning culture from design through operations for our global data centers. We strive to optimize construction quality and the commissioning process through data-driven decision making, in order to deliver data centers with the highest quality and reliability in the industry.
• As a team, we are committed to growing a culture of excellence and collaboration, and to continuously improving our processes and outcomes in order to exceed industry standards and the expectations of our stakeholders.
• As a Technical Program Manager, you ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You will be responsible for developing the Commissioning Strategy and relevant documentation (i.e., specifications, test plans, checklists, guides) for mechanical or electrical equipment, supporting the APAC region.
• In this role, you will utilize an understanding of data center construction standards, quality control and assurance processes, and commissioning procedures to ensure the successful delivery of high-quality, reliable, and efficient data center facilities. You will also support a portfolio of construction projects to ensure the successful implementation of the general construction quality program and reduce cost of poor quality in our construction projects.
• Source commissioning agents and developing strategy and relevant documents (i.e., specifications, test plans, checklists, guides, trainings). Hold necessary cross-functional team reviews and onboarding project stakeholders.
• Participate/facilitate vendor meetings to set expectations on Commissioning requirements, verify feasibility of strategy and documenting agreements.
• Ensure document workflow approval in collaboration with the QCx librarian. Report the quality and commissioning status for the full lifecycle of the construction project.
• Monitor and oversee the implementation of all construction quality and commissioning processes by our project management consultants, general contractors, electrical/mechanical trades, and quality and commissioning agents.
• Identify risks to a project and develop mitigation strategies with the project team. Work and collaborate on regional/global initiatives to improve the Construction Quality Program.
• 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 also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Skills:

Data Analysis, SQL, Problem Solving, English

Job type:

Full-time

• Working closely with business and technical domain experts to identify data requirements that are relevant for analytics and business intelligence.
• Implement data solutions and data comprehensiveness for data customers.
• Working closely with engineering to ensure data service solutions are ultimately delivered in a timely and cost effective manner.
• Retrieve and prepare data (automated if possible) to support business data analysis.
• Ensure adherence to the highest standards in data privacy protection and data governance.
• Bachelor s of Master s Degree in Computer Science, Computer Engineering, or related.
• Minimum of 1 Year with relational/non-relational database systems and good command in SQL.
• Ability to meet critical deadlines and prioritize multiple tasks in a fast-paced environment.
• Ability to work independently, have strong problem solving and organization skills, with a high initiative and a sense of accountability and ownership.
• Experience with cloud-based platforms such as AWS, Google Cloud platform or similar.
• Experience in data processing batch / real time / nearly realtime.
• Experience with data integration or ETL management tools such as AWS Glue, Databrick,or similar.
• Experience with web or software development with Java,Python or similar.
• Experience with Agile methodology is a plus.
• Good in communication and writing in English.
• Good interpersonal and communication skills.

Experience:

2 years required

Skills:

Research, Python, SQL

Job type:

Full-time

• Develop machine learning models such as credit model, income estimation model and fraud model.
• Research on cutting-edge technology to enhance existing model performance.
• Explore and conduct feature engineering on existing data set (telco data, retail store data, loan approval data).
• Develop sentimental analysis model in order to support collection strategy.
• Bachelor Degree in Computer Science, Operations Research, Engineering, or related quantitative discipline.
• 2-5 years of experiences in programming languages such as Python, SQL or Scala.
• 5+ years of hands-on experience in building & implementing AI/ML solutions for senior role.
• Experience with python libraries - Numpy, scikit-learn, OpenCV, Tensorflow, Pytorch, Flask, Django.
• Experience with source version control (Git, Bitbucket).
• Proven knowledge on Rest API, Docker, Google Big Query, VScode.
• Strong analytical skills and data-driven thinking.
• Strong understanding of quantitative analysis methods in relation to financial institutions.
• Ability to clearly communicate modeling results to a wide range of audiences.
• Nice to have.
• Experience in image processing or natural language processing (NLP).
• Solid understanding in collection model.
• Familiar with MLOps concepts.

Experience:

4 years required

Skills:

Statistics, Python, SQL

Job type:

Full-time

• Collaborate with cross-functional teams to identify and prioritize business opportunities that can be addressed through data-driven solutions.
• Extract insights from large and complex datasets using a variety of tools and techniques.
• Develop and deploy predictive models and algorithms using statistical AI/machine learning, deep learning and generative AI modeling.
• Present findings and recommendations to stakeholders in a clear and compelling manner.
• Implement data-driven solutions in various environments, including integration with existing systems and processes.
• Stay up to date on the latest development in data science and bring new idea and technology to the team.
• Monitor the performance of deployed models together with algorithms and continuously improve model accuracy over time.
• Bachelor s or Master s degree in data science, Computer Science, Statistics, or related field.
• 4+ years of experience as a Data Scientist, with a focus on industries.
• Descriptive Analytics.
• Predictive & Prescriptive Analytics (Machine learning, Forecasting, Optimization, choosing the best path).
• Strong programming skills in Python and SQL along with libraries and frameworks for machine learning and statistical test, and their variation among databases.
• Experience with statistical and machine learning techniques.
• Proficiency in optimizing large, complicated SQL statements and code versioning tools such as Git, Mercurial, SVN or others.
• Experience with data visualization tools such as Looker Studio, Tableau, and Power BI.
• Strong problem-solving and communication skills.
• Experience with Cloud technology and databases (Cloud AWS, Azure, GCP).
• Extensive knowledge of Customer relationship management, Customer experience, Next best action, Credit scoring, and Insight & pattern discovery.
• Location: True Digital Park, Bangkok.

Experience:

3 years required

Skills:

SQL, Excel, Tableau

Job type:

Full-time

• Proficiently analyze intricate datasets to identify trends, patterns, and outliers.
• Unearth insightful correlations and present findings in a clear, understandable manner.
• Translate raw data into actionable insights that drive client business objectives.
• Engage with clients to understand their unique business needs and challenges.
• Translate client requirements into comprehensive project scopes and deliverables.
• Foster strong client relationships through effective communication and partnership.
• Leverage your analytical prowess to provide informed recommendations to clients.
• Collaborate with cross-functional teams to implement data-driven strategies.
• Contribute to client success by helping them make informed, growth-oriented decisions.
• Create visually compelling dashboards, reports, and presentations.
• Tailor data visualizations to resonate with both technical and non-technical audiences.
• Communicate complex insights using accessible and engaging visual aids.
• Identify operational inefficiencies within client workflows using data-driven insights.
• Propose process improvements and streamlined solutions to optimize client operations.
• Assist clients in adopting best practices for leveraging data effectively.
• Conduct thorough requirement elicitation sessions with clients.
• Document precise business and technical requirements for successful project execution.
• Ensure clear communication and alignment between stakeholders and technical teams.
• Bachelor s degree in a relevant field (Business, Data Science, etc.).
• Proven 3-5 years of experience as a Business Analyst, Data Analyst, or similar role.
• Proficiency in data analysis tools (SQL, Excel) and data visualization platforms (Tableau, Power BI).
• Strong problem-solving skills and the ability to think critically.
• Excellent communication skills for effective client interaction and team collaboration.
• Detail-oriented approach to ensure accurate and reliable insights.
• Ability to adapt to a fast-paced, dynamic work environment.
• Location: True Digital Park, Bangkok.

Experience:

3 years required

Skills:

SQL, Negotiation, Creative Thinking

Job type:

Full-time

• Develop, plan and initiate marketing tools to drive the number of bill payment transactions and active users and manage the execution of services including bill payment and offline channel under TrueMoney payment license (eg. TrueMoney Kiosk, True Kiosk etc.).
• Proactively lead coordination with Marketing, Product, and Technology teams to ensure plan campaigns are executed properly and promptly.
• Work closely with stakeholders from True Corporation to align objective, plans and i ...
• Deeply understand True customers into specific segments. Work with analytics team to find customer insights and provide relevant product offering and promotion.
• Identify gaps and improvement areas on our product offering, customer journey and work closely with our product and technology team to continuously improve customer experience.
• Analyzed of data, campaign structures, and functionality to identify new or improved marketing campaign opportunities.
• Have a knowledge of Lead Generation and Campaign Management. Plan, prepare, and provide data for execute directed marketing campaigns by using marketing campaign tools.
• Working with Business Leader to ensure the marketing spend stays within budget.
• Analyze previous and ongoing marketing campaigns and report results to the management team as well as make data-driven improvements on campaigns.
• Skill to analyze data by using SQL command.
• Hands-on mentality with get-it-done attitude.
• Collaborative, with strong communication and negotiation skills.
• Strong analytical, logical thinking, creative thinking and knowledge in business acumen.
• High ownership and able to drive initiatives with limited supervision.
• Bachelor s Degree or higher in Business, Marketing, or relevant fields.
• At least 3 - 5 year experience in a marketing, campaign management or marketing partnership role.
• Experience working in a dynamic and fast-paced environment.
• Experience in Telecom is a big plus.
• Knowledge on loyalty and customer retention is a plus.
• Understanding of various online marketing metrics and concepts; CPC, CTR, Retention, etc.
• Experience and passion for financial technology.

Skills:

eCommerce, SQL, English

Job type:

Full-time

• Cover wide gamut of business insights, including seller analysis, trends extraction, data interpretation, and insights generation.
• Design and perform analysis that uncovers seller insights necessary for making key business decisions in acquisition strategy.
• Define success criteria, OKR setting and new opportunities to grow different types of sellers.
• Craft policy or package that will support sellers GMV growth, secure seller investments, and strengthen sellers' fundamentals on Tiktok Shop platform.
• Internal stakeholder management between Seller Management team, Cluster Team, and other Cross Functional teams.
• Run routine key data tracking analysis, cadence meetings within Seller Management team.
• Minimum QualificationsMinimum Bachelor's Degree or above.
• Experience in Ecommerce, Consulting, or Investment Banking background.
• 5 years+ of experience in business analytics role.
• Fluent in English and Thai.
• Preferred QualificationsManage small team of 1-3 high caliber members.
• SQL skill.
• Job Information
• About TikTok
• TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
• Why Join Us
• Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
• We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
• Diversity & Inclusion
• TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.