
Data Analyst - Corporate Technology Data Engineering & Analytics
- Boston, MA
- $144,800-190,000 per year
- Permanent
- Full-time
- 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.
- 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/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.
- 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.
- 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.