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BẤM NÚT APPLY/ ỨNG TUYỂN ĐỂ XEM THÊM THÔNG TIN CHI TIẾTResponsibility Exploratory data analysisApplying advanced algorithm to derive value businessA/B TestingWork with analytics translator to understand business’s needs Requirements: Pursuing a degree in Computer Science, Mathematics, Statistics, or a related field. GPA 7/10 or 2.8/4Willing to take 6 months duration ready to start in Jan/March 2026Strong programming skills in languages such as Python, R, or Java, and familiarity with data manipulation and analysis libraries such as Pandas, NumPy, and Scikit-learn. Knowledge of SQL, databases, and data modeling is also preferred.Analysis large-scare data set and big data.Basic statistic machine learning is strong plus. ** Only shortlisted candidates will be contacted!

As a Senior Data Analyst in the Financial Services sector, with a focus on credit products, you will leverage your expertise in data analysis to deliver actionable insights that drive business decisions.You will be responsible for analyzing large datasets, creating financial models, and working closely with cross-functional teams to optimize credit risk strategies, customer acquisition, retention, and profitability.Mô tả công việcConduct rigorous hypothesis testing, including A/B testing, to evaluate the effectiveness of marketing campaigns and product featuresCollect, analyze, and interpret large datasets to identify trends, patterns, and insights that contribute to business growth and operational efficiency.Leading complex data analysis projects from inception to completion.Mentoring junior team members and providing guidance on technical and analytical skills.Assist in creating business cases with detailed analysis, outlining problems, opportunities, solutions, strategic directions, and performance management for investment and insurance productsPlan, forecast and monitor performance and budget of said projects while proposing necessary changes to maximize efficiencyYêu cầu công việcMinimum Qualifications (education): Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, or Computer Science.Experience:At least 3 years of experience in data analytics, preferably in the financial services, credit sector.Experience working with digital lending productEssential skills:Experience with BI/analytics tools (Google BigQuery, Data Studio..)Proficiency in SQL, Python is a mustFamiliarity with machine learning techniques and financial modeling.Advanced proficiency in statistical analysis, and data visualization.Ability to lead and mentor junior team members.Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders.Strong project management skills and ability to prioritize and manage multiple tasks simultaneously.Personal characteristics:Result-orientedDo whatever it takes to get the job doneCuriosity and eagerness to learn new techniques and toolsInnovative thinking and problem-solving mindsetAttention to detail and commitment to producing high-quality work

Monitor price competitiveness: maintain tracker and monitor price competitiveness closely; work closely with Business Intelligence (BI) to make necessary data tracker adjustments;Collaborate cross-functionally: work with business development (BD), BI, and Product teams to execute pricing actions;Assist in driving seller adoption and engagement for pricing-related tools features via data analysis and solution development execution;Analyze improve performance via data-driven analysis to refine pricing strategies and enhance seller engagement;Manage E2E workflow with 3rd party vendors, including contract management, paperwork handling, and resolution of ad-hoc operational issues, while managing workload distribution and daily operations for a large team of third-party staff performing business development administrative tasks related to pricing;Work closely with Local and Regional Product to roll out new features in Vietnam and provide feedback loops to Regional teams for seamless seller/user experience;Identify seller needs feature enhancement opportunity and discuss with Product regarding feature development/improvement;Other tasks as assigned.

Lead / Senior Data Scientist responsible for driving data science initiatives focused on recommender systems and user engagement, with a strong emphasis on marketing and promotion platforms.Mô tả công việcBuild and improve Machine Learning models to power recommender systems, personalization, and user engagement use cases.Work closely with Product and Business teams to define Machine Learning problems and translate them into scalable data products.Collect, clean, and prepare large-scale datasets for modeling and analysis.Design and engineer features, experiment with new approaches, and continuously improve model performance.Deploy and productionize Machine Learning models in live systems with reliability and scalability in mind.Design, run, and analyze A/B tests to evaluate the impact of the model and generate actionable insights.Build and maintain pipelines for continuous model validation, monitoring, and retraining.Yêu cầu công việcAt least 5 years of working experience with 3 years of hands-on Machine Learning experience, or 2+ years with a PhD in a relevant field.Strong understanding of the mathematical foundations behind Machine Learning algorithms.Proven experience applying Machine Learning to personalization, recommender systems, user behavior analysis, or credit scoring.A strong builder mindset with the ability to take models from prototype to production.High product ownership with a strong sense of responsibility for quality, impact, and long-term maintainability.Strong collaboration skills and willingness to actively support and mentor team members.Experience with credit scoring or financial services models is a plus.

Manage KPIs and incentive frameworks / tracking to monitor BD performance.Collaborate with PMO, BD, CP, Fin teams to standardize SOPs for tracking out of system data (Ads, non system investment, welcome package payment...)Develop and manage reporting dashboards to support BD teams in performance trackingConduct BD team productivity and performance reviews; provide actionable insights to BD leadership.Deliver data analysis and support for decision-making. 

Assist in project planning and documentation under the guidance of PMO Lead and Senior Associate.Collect, organize, and validate information from multiple departments.Conduct basic research and data analysis to support project hypotheses.Track project timelines, update status reports, and escalate risks where needed.Proactively identify risks, operational gaps, and improvement opportunities, then propose creative solutions.Support in preparing presentations, reports, and dashboards.Handle ad-hoc tasks as required by the PMO team. 

1. Operational Data Analysis ReportingCollect, clean, and analyze data on Riders Social Seller’s behavior from interna systems.Develop and maintain weekly/monthly dashboards tracking performance metrics such as order volume, check-in time, and app interaction.Collaborate with cross-functions to translate behavioral data into insight for service improvement.2. Segmentation PersonalizationDesign and maintain segmentation logic based on behavioral and performance pattern (e.g., high/low performers, app adopters, disengaged users).Monitor and evaluate the effectiveness of segmentation-driven campaigns and personalization strategies.3. Project Monitoring (PMO Support Role)Track the progress and timeline of internal team projects using project tracking tools.Coordinate with Project Owners to ensure milestone updates, flagging delays or risks where needed.Support weekly/monthly reporting on overall project status to relevant cross-functional stakeholders.

Play key role in solving diverse business topics including but not limited to:Driving growth strategies for seller acquisition, conversion, retention, and churn reactivation.Developing innovative operational and commercial solutions to unlock demand across customer segments.Leading P1 projects on pricing revamp, Seller Share of Wallet (SoW) growth, and sales channel efficiency.Coordinating feature enhancements to address seller pain points and improve user experience.Optimizing marketing spend to maximize budget efficiency ADO growth.2. Coordinate with BI/Research to conduct data analysis, cohort studies, and external research to support strategy formulation.3. Align with Management and cross-functional teams on priorities, ensuring timely, high-impact execution.4. Take ownership of outcomes, guide supporting members, and track performance of strategic initiatives.

Market Intelligence Competitive AnalysisSupport data-driven market and competitor studies to identify trends, opportunities, risks, and disruptors.Analyze market size, growth, share, macroeconomic indicators, and regulatory impact.Track competitors’ monthly pricing, products, features, communication, marketing campaigns.Quantitative Research (Core Focus)Prepare the research design, set up, and organize execution of quantitative studies (online surveys, trackers, segmentation).Analyze quantitative data and translate findings into clear, actionable insights.Proficient in quantitative tools (SPSS preferred) and familiar with survey platforms (Qualtrics, Survey Gizmo/ Alchemer preferred).Qualitative Research (Supportive)Support qualitative research end-to-end: brief intake, proposal drafting, and coordination with external agency.Assist in synthesizing themes and qualitative insights.Data Analysis ReportingSupport data analysis using analytics tools to generate structured insights.Prepare clear reports and presentations for internal stakeholders.Ensure data accuracy, consistency, and reliability.Cross-functional CollaborationWork closely with product, marketing, sales, and external agencies to support insight-driven decisions.Learn and adapt research approaches based on evolving business needs.

We are seeking a strategic and curious individual to join our Strategic Market Insight (SMI) team. This role is at the intersection of insight generation, strategic thinking, and execution — ideal for someone who thrives on uncovering signals in the market, making sense of buyer behavior, and shaping impactful recommendations.This role will:Turn Market Signals into Insights: Identify and interpret trends in buyer behavior, market shifts, and competitor moves — using both structured research and data analysis as inputs.Translate Insights into recommended actions : Build compelling storylines and recommendations that influence how Shopee positions itself in the e-commerce landscape.Enable Cross-Functional Decisions: Work with Marketing, Product, and Operations teams to ensure insight-driven thinking is embedded in key business choices.