Business Analytics Analyst - Pyspark
Citi (company site, opens in a new tab)5–7 yrsKarnatakaOn-siteDirect career pageEst. 18–30 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end campaign analytics including design, execution, and measurement of test-vs-control and champion-challenger frameworks for marketing campaigns.
- Build and maintain large-scale data pipelines and dashboards using SQL, PySpark, Python, and SAS for campaign performance tracking and reporting.
- Provide actionable insights and recommendations to marketing and product stakeholders through clear data storytelling and cross-functional collaboration.
Minimum Requirements
- 5-7 years of relevant analytics experience, preferably in banking, credit cards, or financial services domain.
- Advanced SQL querying skills across large data warehouses (Teradata/Hive) and proficiency in Python (pandas, numpy) and PySpark within Hadoop/Spark ecosystems.
- Experience with SAS (Base SAS and Macros) for large-scale data manipulation and campaign reporting automation.
- Strong understanding of banking and credit card products, including account lifecycle, credit risk basics, and marketing lifecycle stages (acquisition to attrition).
Ideal Candidate Profile
- Experienced in managing multiple, concurrent campaign analytics projects with minimal supervision and mentoring junior analysts.
- Skilled at translating complex analytical findings into clear, actionable business recommendations for senior stakeholders.
- Familiar with generative AI tools for analytics productivity and open to adopting new AI-assisted analytics technologies for modernizing workflows.