Sr. Data Analyst
Prudent Insurance Brokers Pvt Ltd.
Job Description
Recognized as:
- Great Place to Work โ 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 ๐๐ป๐ฑ๐ถ๐ฎโ๐ ๐ง๐ผ๐ฝ ๐ญ๐ฌ๐ฌ ๐๐ฒ๐๐ ๐ช๐ผ๐ฟ๐ธ๐ฝ๐น๐ฎ๐ฐ๐ฒ๐ ๐ณ๐ผ๐ฟ ๐ช๐ผ๐บ๐ฒ๐ป ๐ฎ๐ฌ๐ฎ๐ฑ! This honour reflects our unwavering commitment to fostering a culture where every woman can thrive and shine, and every voice is heard. Together, weโre building a future of ๐ด๐ฟ๐ผ๐๐๐ต, ๐ฒ๐พ๐๐ฎ๐น๐ถ๐๐, and ๐๐๐ฐ๐ฐ๐ฒ๐๐ 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 4โ6 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
- Bachelorโs degree in Computer Science, Information Technology, Statistics,
- Experience: 4โ6 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.