Business Analytics Analyst - Pyspark
Bengaluru, KA, IN
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
## Time Type: Full time \------------------------------------------------------
Employment type in the employer’s listing: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingDesign and run test-vs-control and champion-challenger campaign tests
Measure campaign lift, response, conversion and profitability
Build recurring campaign performance dashboards and scorecards
Process large campaign and transaction datasets in Hadoop/Spark
Mentor junior analysts and review their analytical output
From the employer’s posting
Design and execution of test-vs-control and champion-challenger frameworks for campaign effectiveness.
Incrementality/lift analysis, response modeling, and uplift measurement.
Experience building recurring performance dashboards/scorecards for campaign monitoring and post-campaign readouts.
PySpark: Distributed data processing for large campaign/transaction datasets, working within Hadoop/Spark ecosystems.
Mentoring junior analysts and reviewing their analytical output.
Tools in this posting
- Python
- SAS
- SQL
- Excel
- Hadoop
- Spark
- Matplotlib
- NumPy
- pandas
- PySpark
Source — Tool mentions in context
Technical / Tools Proficiency * SQL: Advanced querying (joins, window functions, CTEs, performance tuning) across large relational/Teradata/Hive data warehouses. * Python: Data wrangling (pandas/numpy), automation scripting, statistical analysis, and visualization (matplotlib/seaborn). * PySpark: Distributed data processing for large campaign/transaction datasets, working within Hadoop/Spark ecosystems. * SAS: Base SAS and SAS Macros for large-scale data manipulation, campaign tagging, and reporting automation. Domain Knowledge – Banking & Card Products
GenAI / Emerging Tools Familiarity * Working knowledge of Generative AI tools for analytics productivity — e.g., using LLM-based assistants for code generation/debugging (SAS/SQL/Python), documentation, and summarization of campaign results. * Exposure to prompt engineering basics for querying enterprise GenAI platforms (e.g., internal chat/assist tools) to accelerate exploratory analysis and reporting. * Awareness of GenAI use cases in marketing analytics: automated insight generation, natural-language querying of datasets and synthetic test data creation. * Curiosity/adaptability to continuously evaluate and adopt new AI-assisted analytics tools as the function modernizes its toolkit. Communication
Communication * Ability to translate analytical findings into actionable business recommendations for marketing/product stakeholders. * Strong storytelling with data — clear presentation of insights to senior stakeholders (PowerPoint/Excel proficiency). * Cross-functional collaboration with Marketing, Risk, Finance, and Technology teams. * Project management skills to manage multiple concurrent campaign analytics requests under tight timelines. Behavioral Attributes
Posting record
Report an errorActively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier listing.
- Status in our records
- Live
- First seen by us
- Oct 18, 2026 · 6 days ago
- Recorded sightings
- 22
- Last seen by us
- Oct 24, 2026
- Employer says posted
- Oct 16, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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Bengaluru, KA, IN
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