About the Role:
We are seeking a highly motivated and detail-oriented Data Analyst to join
our team in Gurgaon. In this role, you will be responsible for managing
high-volume data, ensuring data quality, and providing critical analytical
support to drive data-informed decision-making. You will work closely with
IT and business stakeholders to develop and maintain data marts, automate
reporting processes, and generate insightful dashboards.
Key Roles & Responsibilities:
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Data Mart Management:
Prepare and maintain data marts in collaboration with IT.
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Data Integrity:
Perform data reconciliation, identify and resolve quality issues, and
ensure data integrity.
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Testing & Validation:
Conduct acceptance testing of IT data developments and provide sign-off.
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Automation & Efficiency:
Automate reports and tasks, providing insights for IT development to
streamline processes.
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Reporting & Analysis:
Develop regular/ad-hoc reports, analyse claims/policy/demographic data,
and support business planning and provide meaningful evidence-based
insights for Critical making.
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Dashboard Development:
Create interactive dashboards in Qliksense/data bricks / python visualize
KPIs and trends, extracting actionable insights.
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Stakeholder Communication:
Address data requests from stakeholders accurately and promptly.
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Documentation:
Maintain SOPs and ensure adherence to processes.
Qualifications & Experience:
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Bachelor's or Master's degree in a relevant field.
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Specialization in Insurance, Technology, Statistics will be preferred.
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3-5 years of experience in managing high-volume data, generating reports,
and performing data analysis and reporting.
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1-2 years data analysis experience within the insurance industry
preferred.
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Proficiency in Databricks Pyspark, Python, SQL, or Qliksense programming
and dashboarding and advance excel mandatory.
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Understanding of Insurance Business and Reinsurance Treaties (Calculations
/ Reporting) will be preferred.
Skills:
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Strong analytical and problem-solving skills.
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Excellent communication and interpersonal skills.
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Ability to collaborate effectively with cross-functional teams.
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Databricks Pyspark, Python, SQL, DatBricks and Qlik sense dashboarding
knowledge.
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Advance Excel formulas.