Mô tả công việc
Tóm tắt công việc
Partner with
business leaders to frame problems, define success metrics, and deliver analyses that influence strategic decisions;
Lead end-to-end analytical projects: from problem definition and data exploration to insight delivery and follow-through on impact;
Design, build, and maintain dashboards and self-service analytics in BI tools (Metabase, Looker, Tableau, or Power BI);
Develop and own analytical data models (dbt or similar) that serve as the source of truth for key business metrics;
Perform deep-dive analyses on user behavior, product performance, operational efficiency, and revenue drivers;
Design and analyze A/B tests and other experiments; translate statistical results into clear business recommendations;
Define, document, and govern key business metrics; resolve discrepancies and align stakeholders on metric definitions;
Build forecasting, segmentation, cohort, and funnel analyses to support planning and growth initiatives;
Mentor junior analysts on SQL, analytical thinking, statistical rigor, and stakeholder communication;
Collaborate with Data Engineering to ensure data quality, freshness, and accessibility in the data warehouse/ lakehouse.
Physical Wellbeing Benefit: General Insurance, Medical check-up, Accident Insurance, Healthcare Insurance.
Emotional Wellbeing Benefit: Company Trip, Year End Party, Aha Hour Activities, Special Day Gifts, Aha Club (Badminton, Soccer).
Financial Wellbeing Benefit: Grab/Be For Work (Tech/Lead Level), Workplace Relocation, 13th Month Salary, PP Appreciate, Annual Leave Remain.
Yêu cầu
5+ years of experience in data analytics, business intelligence, or a related quantitative role;
Expert-level SQL: complex joins, window functions, CTEs, query optimization across large datasets;
Strong proficiency in Python or R for data analysis (pandas, numpy, statistical libraries);
Hands-on experience with a modern BI tool (Metabase, Looker, Tableau, Power BI, or similar);
Solid understanding of statistics: hypothesis testing, confidence intervals, regression, experimental design;
Experience with dimensional modeling and analytical data modeling (Kimball, dbt, medallion architecture, or similar);
Proven track record of delivering analyses that influenced product or business decisions;
Excellent communication skills: able to explain complex analyses to non-technical stakeholders, written and verbal;
Strong sense of ownership and the ability to manage multiple priorities independently.
Nice to Have
Experience working with cloud data warehouses or lakehouses (BigQuery, Snowflake, Trino/Iceberg, Databricks);
Familiar with Airflow;
Experience with dbt and version-controlled analytics workflows (Git, code review);
Experience designing and running A/B tests at scale;
Familiarity with product analytics tools (GA4);
Experience in marketplace, logistics, e-commerce, fintech, or other transactional businesses;
Exposure to machine learning concepts (forecasting, clustering, propensity modeling);
Experience mentoring or leading a small team of analysts.
Thông tin khác
Python
MS SQL
Ecommerce
Machine Learning
Statistics
Git
Regression Testing
SQL Function
Data Modeling
Architecture
Tableau
Data Analysis
Pandas
BI
MS Power BI
Fintech
R
Numpy
Apache Airflow
Snowflake
Databricks
Google BigQuery
Metabase
Trino
DBT
Dimensional Modeling
Thông tin chung
Cách thức ứng tuyển
Ứng viên nộp hồ sơ trực tuyến bằng cách bấm nút Ứng tuyển bên dưới:
Hạn nộp: 04/07/2026
