Expereicne : 7yrs to 12yrs

Shift : 2pm to 11pm

Work Location : Hyderabad/Noida/Bang/Chennai

Specialization: Must have: SQL Good to have: Data Analysis

Key Responsibilities: Must-HaveAdvanced SQL:

- build member-level feature tables from account/product/transaction data (joins, window functions, performance tuning).
- Python analytics + ML: pandas/numpy + scikit-learn (or equivalent) for modeling and reproducible analysis.
- Transaction feature engineering: create behavioral features/flags from raw transactions (RFM, rolling windows, inflow/outflow mix, category mix, volatility).
- Data prep robustness: missing-data handling + outlier treatment (imputation/missing indicators, winsorization/capping, robust scaling/log transforms).
- Segmentation modeling: clustering + (optional) hybrid rule+cluster segmentation; ability to select/validate segments (K selection + quality metrics)



and produce reliable segments.
- Segment profiling: translate clusters into interpretable segment definitions (drivers, behaviors, sizing, KPIsPropensity/classification modeling: logistic regression + tree-based methods; evaluation (AUC/KS/lift, calibration, temporal validation).
- Time-series fundamentals: trend/seasonality/cycle detection to support cash-flow insights.

Nice-to-Have

Advanced clustering: GMM/mixture, hierarchical, DBSCAN/HDBSCAN; mixed-type distance strategies.

Operationalization: repeatable pipeline (feature refresh + scoring + versioning) + monitoring (segment drift/KPI drift) and calibration approachCloud/big-data tooling: Snowflake

📌 Data Analyst (Noida)
🏢 Innova Solutions
📍 Noida