Sr. Data Analyst

Job Summary

The Senior Data Analyst will work independently to solve data problems and fix technical issues. This role will work with business subject matter experts to analyze, validate, and utilize data for consumption by business stakeholders and research and understand customer processes and business data needs. This role will also help understand customer processes, determine the required data and transformation needs for project deliveries, scope, acceptance, installation and deployment.

Duties and Responsibilities

• Work with business subject matter experts to analyze, validate, and utilize data for consumption by business stakeholders
• Research and understand customer processes and business data needs
• Determine the required data and transformation needs for project deliveries, scope, acceptance, installation and deployment
• Map business requirements to necessary data architecture changes
• Responsible for understanding the ETL flow to document data flow throughout the organization
• Use expert SQL skills to provide data extracts as needed to address project and business need
• Collaborate with business and development teams to design, and document analytics dashboards, alerts, and reports
• Support data management initiatives and data stewards by being a domain data expert
• Design and execute technical aspects of function in partnership with Engineering and Architecture and lead teams
• Collaborate directly with teammates and business partners to build solutions that solve problems and are reusable, scalable, fast, and maintainable
• Independently solve problems and fix technical issues
• Identify patterns and/or relationships across different subject areas of data as part of determining standard and complex data quality rules, analyze and document data quality related issues, coordinate with business subject matter experts as required.
• Support data governance related aspects including Business Glossary, reference data, data lineage, etc.

Experience and Education Requirements

• Bachelor’s Degree in General Business, Finance, Actuarial Science, Analytics or Information Systems or equivalent combination of education and experience
• 4-7 years of experience in data mapping, requirements and business process analysis to ensure IT solutions meet the business's needs
• Extensive experience with Life and Annuity business, including knowledge of Annuity/Life products, product lifecycle, policy administration systems, valuation, accounting, financial reporting and other concepts of Insurance business
• 2+ years of experience as a technical Data Steward.
• 2+ years of experience with SQL and ETL mapping tools
• 2+ years of Data Analysis/Mapping experience
• Proficient in requirements gathering methodologies and the SDLC
• Understanding of APIs
• Experience with waterfall and agile development methodologies preferred
• Experience with industry data modeling techniques and processes preferred
• Insurance industry experience & knowledge of Annuity/Life products preferred
• Experience with Tableau, JIRA, Informatica, Alteryx, Data Governance tools preferred

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