Data Analyst - Credit Card & Personal Loan

Own the full analytics loop: instrumentation → metric definition → analysis → insight synthesis → recommendation → impact tracking—ensuring insights translate into decisions and measurable outcomes.
Develop dashboards and reporting systems that are diagnostic and decision- oriented (explain drivers, isolate segments, surface anomalies), not just descriptive KPI tracking.
Design and evaluate experiments (A/B tests, …) to validate hypotheses and convert learnings into repeatable playbooks.
Collaborate deeply with Data Engineering & Data Science to ensure data pipelines, event tracking, and data definitions are robust, consistent, and scalable.
Turn ambiguous questions into structured problem statements, hypotheses, and decision frameworks; define what “success” means and how to measure it.
Improve experimentation infrastructure and analytics workflows so insights can be delivered faster with higher confidence.
Leverage AI/GenAI tools (advanced LLMs, AutoML, intelligent assistants) to improve speed, depth, and creativity of analytics, including insight acceleration, AI- assisted brainstorming, market/competitor research, and automation of data cleaning/QA checks.
Partner closely with Product, Marketing, and Business leaders to shape strategy across acquisition, activation, engagement, retention, and profitability—using data to guide priorities, tradeoffs, and investment decisions.
Conduct full digital banking product lifecycle analysis, including analyzing requirements, conducting analyses, developing reports, dashboards, and data insight recommendations, also monitoring performance and quality control to identify improvements.
Proactively detect performance shifts, root causes, and risks (data quality, funnel breaks, cohort degradation), and drive structured follow- ups with teams to resolve them.
Identify and quantify growth opportunities through segmentation, cohort/funnel analysis, and customer behavior insights; recommend concrete levers (product changes, targeting, pricing/offer strategy, lifecycle messaging) with expected impact.

Have experience with data visualization tools such as PowerBI, Google Data Studio, Tableau, Metabase, QlikView, etc.
Proven working experience as a data analyst.
Familiar with tools for analyzing datasets (Excel, VBA, R, Python, etc.).
Knowledge of credit products is optional.
Adept at full task flow from data query and collecting, report writing, to presenting findings based on significant amounts of information with attention to detail and accuracy.
Technical expertise regarding data models, database design development, data mining, and segmentation techniques.
Strong knowledge of and experience with databases (SQL).

Onsite lunch with multiple options, including vegetarian.
Generous leave policies, including annual leave, sick leave, and flexible work hours.
Unlimited free coffee, tea, snacks, and fruit to keep you energized.
Comprehensive health care coverage for you and your dependents.
13th- month salary and performance bonus.
All employees have endless opportunities for skill development.
Grab for work allowance.

Cập nhật gần nhất lúc: 2026-03-17 03:55:02