Key Responsibilities
- Reporting & Visualization
Design, develop, and maintain Tableau dashboards for real-time monitoring of operational KPIs (e.g., turnaround time, efficiency, risk metrics).
Automate recurring reports to reduce manual efforts.
Perform deep-dive analyses to identify bottlenecks, trends, and opportunities in operational workflows.
Translate findings into actionable recommendations for process improvements.
- Cross-functional Collaboration
Partner with Central Analytics to align on data governance, metrics definitions, and advanced modeling needs.
Act as the bridge between Operations teams and Data Science for predictive analytics use cases (e.g., demand forecasting, risk scoring).
- Data Integrity & Governance
Ensure accuracy and consistency of operational data by implementing validation checks in SQL/queries.
Document data lineage and key metric calculations.
Adhere to the policy & guidelines shared by Central Analytics/DS team related to Data governance and security
Required Skills & Qualifications
Must-Have
2+ years of hands-on experience in:
- Tableau (dashboard development, calculated fields, parameters).
- SQL (complex joins, window functions, query optimization).
- Strong analytical mindset with ability to solve operations-specific problems (e.g., capacity planning, SLA adherence).
- Bachelor's degree in Engineering, Math, or Statistics from a Tier 1/Tier 2 institute.
- Experience working with large datasets and ETL pipelines.
Good-to-Have
- Python for data manipulation (Pandas, NumPy) and automation.
- Exposure to FinTech/Digital Lending (e.g., loan processing, fraud detection).
- Familiarity with statistical concepts (A/B testing, regression).
Soft Skills
- Ability to communicate insights effectively to non-technical stakeholders.
- Proactive attitude to navigate ambiguity in a fast-paced environment.
