Bangalore, Karnataka, India
Information Technology
Full-Time
IOWeb3 Technologies
Overview
Job Title: Data Analyst - Insurance Domain.
Duration : 6 Months.
Employment Type : Contractual.
Work Location : Gurugram & Bangalore (Priority) | Chennai, Pune, Mumbai (Secondary).
Job Description
We are looking for an experienced Data Analyst with strong domain knowledge in Insurance and expertise in handling end-to-end data workflows.
The ideal candidate should have hands-on experience in data modelling, data analysis, data architecture, and data visualization, along with advanced skills in modern data in tools such as Azure, Python, Spark, and PySpark is required to deliver insights that support strategic business decisions in the insurance sector.
Key Responsibilities
Duration : 6 Months.
Employment Type : Contractual.
Work Location : Gurugram & Bangalore (Priority) | Chennai, Pune, Mumbai (Secondary).
Job Description
We are looking for an experienced Data Analyst with strong domain knowledge in Insurance and expertise in handling end-to-end data workflows.
The ideal candidate should have hands-on experience in data modelling, data analysis, data architecture, and data visualization, along with advanced skills in modern data in tools such as Azure, Python, Spark, and PySpark is required to deliver insights that support strategic business decisions in the insurance sector.
Key Responsibilities
- Analyze large, complex datasets to identify trends, patterns, and insights relevant to the insurance business.
- Design and implement data models to support analytical and operational reporting needs.
- Build and maintain scalable data architectures using cloud platforms such as Azure.
- Develop efficient data pipelines and ETL processes using Python, Spark, and PySpark.
- Apply domain expertise to validate and ensure data accuracy, relevance, and usability.
- Create clear and insightful data visualizations and dashboards using open-source or enterprise tools (excluding Power BI).
- Collaborate with stakeholders to translate business requirements into analytical solutions.
- Ensure best practices in data governance, security, and documentation.
- 6+ years of experience as a Data Analyst.
- 3- 4 years of hands-on experience in the Insurance domain.
- Expertise in Data Modelling, Data Analysis, and Data Architecture.
- Proficiency in Azure, Python, Spark, and PySpark.
- Strong SQL skills for data extraction, transformation, and analysis.
- Experience with Data Visualization using tools (excluding Power BI).
- Excellent communication and stakeholder management skills.
- Strong analytical thinking and problem-solving abilities.
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