Data Analyst

UnionBank of the Philippines ·

Turn lending, customer and operations data into clear insights that help business teams make faster, better decisions.

About the role

We are looking for a Data Analyst to work closely with product, operations, risk and business teams. The role is suited to someone who enjoys going beyond dashboards - asking the right questions, cleaning imperfect datasets, finding patterns, and translating analysis into actions that non-technical teams can use. You will work with transaction, funnel, customer and operational data in a fast-moving fintech environment.

What you'll do

• Write SQL queries to extract and combine data from multiple business and product datasets.
• Build and maintain dashboards for acquisition, conversion, portfolio, operations and customer-service metrics.
• Investigate changes in KPIs and identify the drivers behind unusual trends, drops or spikes.
• Partner with business teams to define metrics and translate open-ended questions into structured analysis.
• Clean and validate datasets before reporting, highlighting gaps or inconsistencies in source data.
• Automate recurring reports using SQL, Excel, Power BI or Python wherever practical.
• Present findings in simple business language with clear recommendations and next steps.
• Support ad-hoc analysis for product launches, process changes, campaigns and management reviews.

What we're looking for

• 2-5 years of experience in data analytics, business analytics, MIS or a similar analytical role.
• Strong SQL skills, including joins, aggregations, subqueries and working with large datasets.
• Advanced Excel skills and hands-on experience with Power BI or Tableau.
• Comfort with basic statistics, trend analysis and data-quality checks.
• Working knowledge of Python for data manipulation is preferred.
• Ability to explain analytical findings clearly to non-technical stakeholders.
• Experience in fintech, lending, banking, insurance or other high-volume transactional businesses is an advantage.

Benefits

• Hybrid work model with three days a week from the Hyderabad office.
• Annual learning budget for analytics, SQL, Python or data-visualization courses.
• Performance-linked variable pay based on individual and business outcomes.
• Medical insurance with optional dependent coverage.
• Opportunity to work with real product and transaction datasets rather than only reporting support work.

Skills