Data Analyst - Corporate Technology Data Engineering & Analytics

The Opportunity

Join our dynamic team as a Data Analyst – Corporate Technology Data Engineering & Analytics, where you'll play a pivotal role in driving the execution of our data strategy. This role is crucial in driving digital transformation and operational efficiency across financial systems that support Actuarial, FP&A, Reinsurance, Treasury, Accounting and Tax functions and requires a balance of technical expertise, business acumen, and leadership capabilities. You will work cross-functionally to deliver insights, mentor team members, define standards, and collaborate with both onshore and offshore teams to enable high-quality, scalable data solutions.

The Team

You’ll be an integral part of our esteemed Corporate Technology Team, focused on Data Engineering & Analytics. Our team operates on a global scale, driving innovation and excellence across diverse areas of expertise. As a Data Analyst, you'll play a pivotal role in high impact Corporate Technology Finance Initiatives, ensuring alignment with organizational objectives and driving impactful outcomes. This is an opportunity to collaborate closely with our Corp Technology leadership team as well as our CFO customers.   Our team thrives on collaboration, innovation, and a shared commitment to excellence. Together, we're shaping the future of technology within our organization and making a lasting impact on a global scale. Join us and be part of a dynamic team where your contributions will be valued and your potential unleashed.

The Impact:

• 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.
• 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 experience as a Data Analyst
• 5+ years of experience in Finance domain within the insurance industry
• 2+ years of experience with Vertica/Teradataor 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.
• 2+ years of experience with at least one of the following:
  • 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.

The Ideal Qualifications

• Master's degree in Data Science, Statistics, Mathematics, Computer Science, Actuarial Science, or related field.
• 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.
• Proven track record of Analytical and Problem-Solving skills.
• A solid understanding of Financial Accounting Systems and knowledge of accounting principles, reporting and budgeting
• Strong data analysis skills for extracting insights from financial data
• Proficiency in data visualization tools and reporting software is also important. 
• Experience integrating financial systems with actuarial, policy administration, and claims platforms.
• Familiarity with actuarial processes, reinsurance, or regulatory reporting requirements.
• Experience with General Ledger systems such as SAP and forecasting tools like Anaplan.
• Exceptional communication and interpersonal skills.
• Ability to influence and motivate teams without direct authority.
• Excellent time management and organizational skills, with the ability to prioritize multiple initiatives.

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MassMutual 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.