Senior Actuarial Data Analyst

At EMC, we’re all about working together to make an impact. As part of our team, you’ll have the opportunity to grow, contribute, and gain experience that matters. We strive to be caring leaders, close partners, and responsive experts—always supporting each other to do our best work. Join us, and let’s improve lives together.

**This position is eligible to work from home anywhere in the United States**

Essential Functions:

• Provides expertise on the development and the implementation of the Actuary Department’s rating engine development, maintenance and rating element capture strategies.

• Leads the development of solution specifications for the policy administration system's rating engine and rate change monitoring tools and validates implemented solutions are compliant with identified specifications. 

• Partners with business units to gather information about their data analytics needs, business requirements, desired rating algorithm attributes, and/or desired rating component capture needs.

• Performs research and analysis of data elements or rating algorithms, acquires necessary data and elements, and develops and executes associated testing plans.

• Serves as leader for project execution strategies and estimation of timelines and data deliverables.

• Assigns customer data extraction value and prioritizes requests in order of most critical to business partners and projects.

• Ensures the planning and performance of highly complex data and/or element assignments, including data/element capture, aggregation, comparison, and extraction, for Actuary, including the parsing, joining, standardizing, cleansing, consolidating and filtering of data across inter-related data platforms to create desired outputs that can be leveraged by business users.

• Manages stories and subtasks, working with team members to assess available capacity and develop agreeable customer timelines for the most efficient data solutions to business needs.

• Provides project work direction to actuarial team members and stakeholders and advises leadership of any potential issues and delays.

• Provides expertise for cross-functional projects, including pricing enhancement research teams, line of business deep dives, in-depth industry vertical analysis, and branch business planning.

• Serves as a subject matter expert in undertaking project segments and corporate initiatives involving assigned applications, business area datasets and source systems.

• Collaborates as appropriate with IT partners to develop solutions.

• Leads the development and execution of testing procedures to ensure quality of data and work products.

• Troubleshoots and corrects complex project problems involving data and programming logic errors.

• Performs peer reviews of work to maintain the integrity of the work product.

• Proactively identifies data quality issues and immediately communicates issues to the appropriate technical steward for data fixes.

• Ensures all processes and projects are compliant with data governance policies and statutory requirements.

• Prepares and maintains documentation related to assigned data, reports and processes in accordance with best practices, including disaster recovery.

• Mentors and trains other team members on programming techniques, system functionality, and relational database structure.

• Proactively engages in professional development related to the insurance industry, technology, data platform, reporting tool changes, statistical analysis, data management, and computer programming skills.

Education & Experience:

• Bachelor’s degree, preferably in computer science, actuarial science, data science, mathematics, or a related field, or equivalent relevant experience

• Seven years of experience in data management, data analysis, or insurance analytics or related experience

• Insurance experience preferred

Knowledge, Skills & Abilities:

• Excellent planning skills in the areas of data management/extraction or insurance rating/monitoring intelligence

• Excellent programing capabilities and/or insurance rating knowledge, including knowledge of at least two computer languages, such as R, Python, SQL, Visual Basic, JAVA or PostGreSQL

• Excellent knowledge of Excel, PowerPoint and PowerBI and Word

• Strong knowledge of system interactions and available data platform environments

• Superior knowledge of analytical and data terminology, concepts and theory

• Familiarity with actuarial terminology, concepts, and t