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Sr. Data Analyst

Job in 242221, Gurugram, Uttar Pradesh, India
Listing for: Prudent Insurance Brokers Pvt Ltd.
Full Time position
Listed on 2026-09-05
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Data Science Manager, Business Systems & Technology Analysis
Job Description & How to Apply Below
Recognized as:
Great Place to Work – 2024 and 2025  - This achievement reflects our unwavering commitment to a workplace where innovation, collaboration, and success go hand in hand; thanks to each Prudent family member for being the driving force behind our success.
One of ’       ! This honour reflects our unwavering commitment to fostering a culture where every woman can thrive and shine, and every voice is heard. Together, we’re building a future of , , and  for all team members!!

Job title
Data Analyst II

Reporting To
Lead Data Analyst

Branch
Gurugram

Job Summary /About the Role
We are looking for a  Data Analyst II  with 4–6 years of experience in data analytics and business intelligence. The ideal candidate should have hands-on expertise in  Power BI, SQL, Python, and Azure , along with exposure to the  insurance domain . This role involves building dashboards, analysing data, and supporting senior analysts and business stakeholders in driving data-driven decisions.

Required Qualifications
Bachelor’s degree in  Computer Science, Information Technology, Statistics,

Experience:

4–6 years in data analytics, BI development, or related roles.
Technical Expertise:
Strong proficiency in Power BI (data modeling, DAX, Power Query).
Solid SQL skills for querying and data manipulation.
Working knowledge of Python for analytics and automation.

Experience with Azure cloud services.
Domain Knowledge:
Exposure to insurance industry processes and KPIs.

Soft Skills:

Strong analytical thinking, communication, and problem-solving abilities.

Key Responsibilities
Data Analytics & Reporting
Develop and maintain Power BI dashboards and reports to support business needs.
Perform data analysis to identify trends, anomalies, and insights.
Ensure data quality, accuracy, and consistency in reporting.
Technical Skills
Write and optimize SQL queries for data extraction and transformation.
Use Python for data cleaning, automation, and analysis tasks.
Work with Azure services (Data Factory, SQL Database, Synapse) for cloud-based data solutions.
Domain Expertise
Apply knowledge of the insurance domain to interpret data and provide meaningful insights.
Collaborate with business teams to translate requirements into analytical solutions.
Collaboration
Work closely with senior analysts and developers to deliver projects on time.
Support cross-functional teams with ad-hoc analysis and reporting.
Contribute to documentation, best practices, and process improvements.
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