Senior Data Analyst

Job Overview

We seek a Senior Data Analyst with substantial experience in banking, loyalty programs, and card usage analytics. You will take ownership of data analysis across loyalty and cross-sell initiatives, provide business insights, and collaborate with product, CRM, and marketing teams to drive impactful decisions through data. You will play a key role in uncovering customer behavior patterns, optimizing campaign performance, and identifying revenue growth opportunities across digital banking services.

Key Responsibilities

● Analyze card usage, transaction patterns, earn/burn behaviors, and loyalty program performance.

● Define, calculate, and monitor key metrics: retention, engagement, CLTV, churn, and campaign performance.

● Support and evaluate cross-sell, up-sell, and reactivation campaigns using quantitative methods.

● Collaborate with cross-functional teams (Product, Marketing, CRM) to design and evaluate A/B tests, segment analysis, and personalized targeting.

● Build and maintain BI dashboards and self-service tools for stakeholders.

● Ensure data consistency, availability, and business logic alignment across analytics assets.

● Mentor junior analysts (if any) and contribute to best practices in data analysis.

● 3+ years of experience in Data Analytics, preferably in Banking, Loyalty, or Fintech.

● Strong SQL skills and experience working with modern data warehouses (e.g., Snowflake, S3, Redshift).

● Proven experience working with BI tools such as Metabase, Power BI

● Deep understanding of customer behavior metrics and analytics frameworks.

● Strong data visualization and storytelling skills.

● Excellent communication skills – able to work with both technical and non-technical stakeholders.

● Business acumen in card/lending products, customer lifecycle, and digital banking journeys.

Nice to Have

● Hands-on experience with Python or R for data analysis or automation.

● Familiarity with CEP platforms (e.g., Moengage), CDPs, or marketing automation tools.

● Experience in campaign attribution modeling, uplift modeling, or predictive segmentation.

● Leadership or mentoring experience is a plus.