MassMutual is looking to drive digital transformation and operational efficiency across financial systems supporting Actuarial, FP&A, Reinsurance, Treasury, Accounting, and Tax functions by leveraging data analysis and engineering.
Requirements
- 2+ years of experience with Vertica/Teradata or other similar tools for querying, performance optimization, and large-scale data analysis.
- 2+ years of experience in Python and SQL
- 2+ years of experience in writing detailed source-to-target mapping documents and collaborate with technical teams on data integration.
- Apply strong data modeling knowledge (star/snowflake schema, normalization, dimensional modeling) to support efficient analysis and reporting.
- Deep understanding of data modeling concepts and experience working with relational and dimensional models.
- Strong understanding of statistical concepts, probability and accounting standards, financial statements (balance sheet, income statement, cash flow statement), and financial ratios.
- Proficiency in data visualization tools and reporting software is also important.
Responsibilities
- Analyze data related to life insurance operations including policy administration, reinsurance, reserves, and risk to generate actionable insights.
- Develop and maintain comprehensive data mapping documents and work closely with data engineering teams to ensure accurate data integration and transformation.
- Collaborate with business stakeholders to gather requirements, define KPIs, and create reporting solutions aligned to strategic objectives.
- Partner with data engineers, architects, and IT to validate datasets, optimize queries, and ensure scalable data pipelines.
- Work directly with onshore teams to coordinate analysis, share requirements, and maintain consistent quality and delivery timelines.
- Define and implement standards for documentation, analysis, and data governance across the analytics team.
- Help build dashboards, scorecards, and visualizations using Tableau, Power BI, or Strategy to communicate insights to stakeholders.
Other
- Mentor junior analysts by reviewing their work, offering guidance, and promoting professional growth.
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Actuarial Science, or related technical field.
- 5+ years of experience in Finance domain within the insurance industry
- Strong communication skills with the ability to clearly explain technical concepts to non-technical audiences.
- Exceptional communication and interpersonal skills.
