Data Analyst

Company: MassMutual
Location: Boston
Posted on: June 2, 2025

Job Description:

The OpportunityAt MassMutual, we're passionate about helping millions of people find financial freedom and this passion has driven our approach to developing meaningful experiences for our customers. The Data Engineering team, part of MassMutual's Enterprise Technology and Experience organization, is comprised of highly skilled, collaborative, problem solvers who are motivated to create innovative solutions that exceed the changing needs of our customers and move MassMutual - and the industry - forward.To continue our cutting-edge work, we are hiring an Advanced Data Analyst to join our team.The Team/JobOur ideal Data Analyst/Developer - Mastery candidate is proficient in data management and has a strong analytical capability. You'll use your skills to provide subject matter expertise and complete in-depth data analysis, which contribute to the strategic efforts of the team. You're also detail-oriented and adaptable. The team culture of working collaboratively, cross-functionally, using new technologies combined with the work/life balance provided by MassMutual are core reasons people enjoy working on the Data Engineering team at MassMutual. The ideal candidate has strong hands-on experience with enterprise data platforms such as Vertica/Teradata, as well as a deep understanding of life insurance operations and analytics.The Impact/Key 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 offshore teams to coordinate analysis, share requirements, and maintain consistent quality and delivery timelines.
• Mentor junior analysts by reviewing their work, offering guidance, and promoting professional growth.
• Define and implement standards for documentation, analysis, and data governance across the analytics team.
• Apply strong data modeling knowledge (star/snowflake schema, normalization, dimensional modeling) to support efficient analysis and reporting.
• Help build dashboards, scorecards, and visualizations using Tableau, Power BI, or Strategy to communicate insights to stakeholders.
• Ensure data quality and compliance with internal controls and industry regulations.The Minimum Qualifications:
  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Actuarial Science, or related technical field.
  • 8+ years of data analytics experience.
  • 3+ years hands-on experience with Vertica or Teradata for querying, performance optimization, and large-scale data analysis.
  • 3+ years of experience with advanced SQL skills.The Preferred Qualifications:
    • Master's degree in Data Science, Statistics, Mathematics, Computer Science, Actuarial Science, or related technical field.
    • 8+ years of data analytics experience, including 5+ years within finance domains.
    • Proficiency in Python.
    • Experience with cloud data platforms (e.g., Snowflake, Vertica, Teradata).
    • Familiarity with actuarial processes, reinsurance, or regulatory reporting requirements.
    • Industry certifications (e.g., LOMA, SOA exams) or data/BI certifications (e.g., Tableau, Microsoft).
    • Proven ability to write detailed source-to-target mapping documents and collaborate with technical teams on data integration.
    • Experience working in hybrid onshore-offshore team environments.
    • Deep understanding of data modeling concepts and experience working with relational and dimensional models.
    • Strong communication skills with the ability to clearly explain technical concepts to non-technical audiences.
    • A strong understanding of statistical concepts, probability and accounting standards, financial statements (balance sheet, income statement, cash flow statement), and financial ratios.
    • Strong understanding of life insurance products and business processes across the policy lifecycle.
    • Investment Principles: Knowledge of different asset classes, investment strategies, and financial markets.
    • Quantitative Finance: Understanding of financial modeling, risk management, and derivatives.
    • Regulatory Framework: Awareness of relevant financial regulations and compliance requirements.#LI-RK1MassMutual is an Equal Employment Opportunity employer Minority/Female/Sexual Orientation/Gender Identity/Individual with Disability/Protected Veteran. We welcome all persons to apply. Note: Veterans are welcome to apply, regardless of their discharge status.If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.
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Keywords: MassMutual, Somerville , Data Analyst, Professions , Boston, Massachusetts