Role Overview
We are looking for a Data Analyst who can quickly extract, manipulate, and analyze data to deliver timely and accurate business insights across Kotak Life’s core insurance functions.
What You Will Do
Rapidly pull data from SAS environments, data warehouses, and relational databases, write complex SQL queries, clean and transform large datasets, perform ad-hoc analyses, and create business reports and dashboards.
Why It Might Be a Fit
This role is highly execution-focused and requires strong hands-on expertise in SQL, SAS-based data environments, and basic Python for analysis. You will partner closely with business, operations, and analytics teams to answer ad-hoc questions, build reports and dashboards, and support data-driven decision making in a fast-paced, regulated BFSI environment.
Requirements
- Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or a related field
- 1–3 years of experience as a Data Analyst, Business Analyst, or Analytics professional
- Proven ability to deliver quick, accurate insights under tight timelines
- Experience working with large, structured enterprise datasets
- Strong SQL skills (complex joins, window functions, CTEs, aggregations)
- Experience querying large data warehouses or relational databases
- Hands-on experience extracting and manipulating data from SAS environments
- Ability to work with SAS datasets and understand enterprise SAS workflows
- Basic proficiency in Python for data analysis
- Experience using Pandas and NumPy for data manipulation
- Ability to combine Python with SQL for efficient analytics workflows
- Experience with BI tools such as Tableau, Power BI, or similar (preferred)
- Ability to create clear, accurate, and actionable dashboards
To apply for this job please visit kotaklifeinsurance.darwinbox.in.
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