Recognized as:

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- Excellent 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.
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- 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!!
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nJob title

nData Analyst II

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nReporting To

nLead Data Analyst

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nBranch

nGurugram

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nJob Summary/About the Role

nWe 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.

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nRequired Qualifications

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- Bachelor’s degree in Computer Science, Information Technology, Statistics,
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- Experience: 4–6 years in data analytics, BI development, or related roles.
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nTechnical Expertise:

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- Strong proficiency in Power BI (data modeling, DAX, Power Query).
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- Solid SQL skills for querying and data manipulation.
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- Working knowledge of Python for analytics and automation.
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- Experience with Azure cloud services.
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- Domain Knowledge: Exposure to insurance industry processes and KPIs.
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- Soft Skills: Strong analytical thinking, communication, and problem-solving abilities.
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nKey Responsibilities

nData Analytics & Reporting

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- Develop and maintain Power BI dashboards and reports to support business needs.
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- Perform data analysis to identify trends, anomalies, and insights.
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- Ensure data quality, accuracy, and consistency in reporting.
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nTechnical Skills

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- Write and optimize SQL queries for data extraction and transformation.
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- Use Python for data cleaning, automation, and analysis tasks.
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- Work with Azure services (Data Factory, SQL Database, Synapse) for cloud-based data solutions.
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nDomain Expertise

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- Apply knowledge of the insurance domain to interpret data and provide meaningful insights.
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- Collaborate with business teams to translate requirements into analytical solutions.
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nCollaboration

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- Work closely with senior analysts and developers to deliver projects on time.
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- Support cross-functional teams with ad-hoc analysis and reporting.
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- Contribute to documentation, best practices, and process improvements.
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📌 Sr. Data Analyst (Haryana)
🏢 Prudent Insurance Brokers
📍 Haryana