Senior Data Analyst – Banking, Card & Loyalty

• 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.

Required Qualifications:

• 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.

What We Offer:

• Data-first culture with support from Product and Engineering teams.
• Access to rich datasets across banking and loyalty platforms.
• Flexible working environment and learning opportunities.

• Qualification: Bachelor
• Age: Unlimited
• Job type: Permanent
• Probation time: The salary during the probation period is equal to the official salary
• Working time: 8:30 - 17:30 from Monday to Friday
• Training opportunities: A creative and modern working environment.
• Benefits: Comprehensive health and accident insurance.
• Other extras: Provision of work equipment (Macbook/ Laptop, mouse, monitor, etc.)
• Annual leave: 15 days of annual leave.