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
● Define, calculate, and monitor key metrics: retention, engagement, CLTV, churn, and campaign performance.
● Collaborate with cross- functional teams (Product, Marketing, CRM) to design and evaluate A/B tests, segment analysis, and personalized targeting.
● Support and evaluate cross- sell, up- sell, and reactivation campaigns using quantitative methods.
● Build and maintain BI dashboards and self- service tools for stakeholders.
● Ensure data consistency, availability, and business logic alignment across analytics assets.
● Analyze card usage, transaction patterns, earn/burn behaviors, and loyalty program performance.
● Mentor junior analysts (if any) and contribute to best practices in data analysis.

● Excellent communication skills – able to work with both technical and non- technical stakeholders.
● Strong SQL skills and experience working with modern data warehouses (e.g., Snowflake, S3, Redshift).
● Deep understanding of customer behavior metrics and analytics frameworks.
● Proven experience working with BI tools such as Metabase, Power BI
● 3+ years of experience in Data Analytics, preferably in Banking, Loyalty, or Fintech.
● Business acumen in card/lending products, customer lifecycle, and digital banking journeys.
● Strong data visualization and storytelling skills.
Nice to Have
● Familiarity with CEP platforms (e.g., Moengage), CDPs, or marketing automation tools.
● Leadership or mentoring experience is a plus.
● Experience in campaign attribution modeling, uplift modeling, or predictive segmentation.
● Hands- on experience with Python or R for data analysis or automation.

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Cập nhật gần nhất lúc: 2026-03-17 00:35:02