Mass Mutual Life Insurance Company
Data Analyst - Corporate Technology Data Engineering & Analytics
Mass Mutual Life Insurance Company, Boston, Massachusetts, us, 02298
Overview
Data Analyst Corporate Technology Data Engineering & Analytics. 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: Youll be an integral part of our 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 will collaborate with Corporate Technology leadership and CFO customers to deliver high-impact initiatives. This is a collaborative, innovative environment that shapes the future of technology within the organization. The Impact
Analyze data related to life insurance operations including policy administration, reinsurance, reserves, and risk to generate actionable insights. Develop and maintain data mapping documents and work 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. Coordinate with onshore teams to manage analysis, share requirements, and maintain consistent quality and delivery timelines. Mentor junior analysts by reviewing work, offering guidance, and promoting professional growth. Define and implement standards for documentation, analysis, and data governance across the analytics team. Apply 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. Minimum Qualifications
Bachelors 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/Teradata or 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 collaborating with technical teams on data integration. 2+ years of experience with at least one of the following: Investment Principles, Quantitative Finance, or Regulatory Framework. Ideal Qualifications
Masters 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 with relational and dimensional models. Strong communication skills and ability to explain technical concepts to non-technical audiences. Understanding of statistical concepts, probability, accounting standards, financial statements, and financial ratios. Knowledge of life insurance products and business processes across the policy lifecycle. Proven analytical and problem-solving skills. Solid understanding of Financial Accounting Systems and accounting principles, reporting and budgeting. Strong data visualization and reporting skills. 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 (e.g., SAP) and forecasting tools (e.g., Anaplan). Excellent communication and interpersonal skills; ability to influence and motivate teams without direct authority. Strong time management and organizational skills with the ability to prioritize multiple initiatives. MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. MassMutual will accept applications on an ongoing basis until a candidate has been offered employment. The job description includes the main duties of this position, which may evolve over time. You may be required to perform other duties not listed. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment. Salary Range: $144,800.00-$190,000.00 #J-18808-Ljbffr
Data Analyst Corporate Technology Data Engineering & Analytics. 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: Youll be an integral part of our 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 will collaborate with Corporate Technology leadership and CFO customers to deliver high-impact initiatives. This is a collaborative, innovative environment that shapes the future of technology within the organization. The Impact
Analyze data related to life insurance operations including policy administration, reinsurance, reserves, and risk to generate actionable insights. Develop and maintain data mapping documents and work 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. Coordinate with onshore teams to manage analysis, share requirements, and maintain consistent quality and delivery timelines. Mentor junior analysts by reviewing work, offering guidance, and promoting professional growth. Define and implement standards for documentation, analysis, and data governance across the analytics team. Apply 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. Minimum Qualifications
Bachelors 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/Teradata or 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 collaborating with technical teams on data integration. 2+ years of experience with at least one of the following: Investment Principles, Quantitative Finance, or Regulatory Framework. Ideal Qualifications
Masters 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 with relational and dimensional models. Strong communication skills and ability to explain technical concepts to non-technical audiences. Understanding of statistical concepts, probability, accounting standards, financial statements, and financial ratios. Knowledge of life insurance products and business processes across the policy lifecycle. Proven analytical and problem-solving skills. Solid understanding of Financial Accounting Systems and accounting principles, reporting and budgeting. Strong data visualization and reporting skills. 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 (e.g., SAP) and forecasting tools (e.g., Anaplan). Excellent communication and interpersonal skills; ability to influence and motivate teams without direct authority. Strong time management and organizational skills with the ability to prioritize multiple initiatives. MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. MassMutual will accept applications on an ongoing basis until a candidate has been offered employment. The job description includes the main duties of this position, which may evolve over time. You may be required to perform other duties not listed. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment. Salary Range: $144,800.00-$190,000.00 #J-18808-Ljbffr