Senior Data Analyst

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, NoSQL, 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

• 4-8 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, NoSQL 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.