Senior Data Analyst-P&C

Location: Prakāshamnagar

About the job

Job Responsibilities
Utilize knowledge of insurance data models, specifically Guidewire and Duckcreek, to interpret and analyze complex data structures.
Collaborate with stakeholders to ensure data models align with business needs and analytical requirements.
Perform data cleansing and validation to ensure data accuracy, consistency, and completeness.
Implement data enrichment processes to enhance datasets, providing deeper insights and more reliable analyses.
Conduct thorough data profiling to assess data quality and identify potential issues affecting analysis.
Generate comprehensive reports on data characteristics, anomalies, and trends to inform data governance and strategy.
Utilize SQL, No

SQL, Neo 4J to query and manipulate databases, ensuring effective data retrieval and analysis.
Collaborate with database administrators to optimize database performance and support analytical needs.
Stay updated with industry trends, tools, and best practices in data analytics and insurance.
Participate in training and development initiatives to enhance technical skills and analytical methodologies.

Education, Technical Skills & Other Critical Requirement
5-8 years of relevant experience in data analyses
Bachelor's/Master's degree in an information technology/computer science/Statistics/ Economics or equivalent fields experience.
Proficiency in Guidewire and Duckcreek data models, including an understanding of insurance industry practices.
High level of accuracy and attention to detail in data analysis and reporting.
Strong skills in data cleaning techniques and enrichment methodologies.
Experience in designing and implementing Extract, Load, Transform (ELT) processes for data integration.
Familiarity with data profiling tools and techniques to assess data quality.
Familiarity with cloud-based data storage and processing solutions (e.g., AWS, Azure, Databricks, Snowflake)
Advanced SQL, No

SQL skills for querying and managing relational databases.
Strong verbal and written communication skills, with the ability to present findings to non-technical stakeholders.
Basic project management skills to manage timelines and deliverables effectively.