Senior Analyst, Insurance Data Ops

Global Atlantic Financial Group•Boston, MA

4h•Onsite

About The Position

About Global Atlantic Global Atlantic is a leading provider of retirement security and investment solutions with operations in the U.S., Bermuda, and Japan. As a wholly-owned subsidiary of KKR (NYSE: KKR), a leading global investment firm, Global Atlantic combines deep insurance expertise with KKR’s powerful investment capabilities to deliver long-term financial security for millions of individuals worldwide. With a broad suite of annuity, preneed life insurance, reinsurance, and investment solutions, Global Atlantic, through its issuing companies, helps people achieve their financial goals with confidence. For more information, please visit www.globalatlantic.com. Team Overview Global Atlantic / KKR Insurance Global Data Operations team is responsible for collecting, managing, and harnessing the power of data across our diverse business activities. To support the rapid growth of our insurance segment, we have established a dedicated Insurance Data Operations team. This team is tasked with ensuring data integrity, availability, and transparency across KKR’s insurance business, while also driving the design of data models and products that serve business needs across finance, risk, and investment teams. Position Overview We are seeking an Senior Analyst, Insurance Data Ops Manager to join our Boston-based Insurance Data Operations team. This individual will serve as a data product owner, responsible for shaping insurance data models, defining requirements, and working hand-in-hand with technology partners to build consumable, scalable, and business-ready data products. The ideal candidate combines technical strength in data modeling and analytics with the ability to translate business needs into structured requirements. This role requires a proactive leader who can bridge business and technology, ensuring that insurance data products deliver actionable insights and high-quality outcomes for stakeholders. This position reports to the Head of Insurance Data Operations and will collaborate extensively with enterprise technology, data engineering, and business leadership.

Requirements

Bachelor’s degree in Finance, Analytics, Information Systems, Engineering, or related field; Master’s degree preferred.
2-4 years of progressive experience in data modeling, data analysis, or data product management—insurance or financial services experience strongly preferred.
Advanced SQL skills required, including the ability to design and optimize complex queries, build data models, and work with large, complex datasets.
Working knowledge of Python (or a similar programming language) required, with ability to use scripting for data analysis, automation, and model validation.
Hands-on experience building dashboards and visualizations in at least one modern BI tool (Tableau, Power BI, Sigma, Streamlit, or similar) — able to independently design and deliver consumable, executive-ready reporting products.
Proven ability to translate business requirements into technical data model specifications.
Demonstrated experience working with engineering/technology teams to deliver data products or platforms.
Familiarity with cloud data environments (Snowflake, Databricks, etc.) preferred.
Strong communication skills, with the ability to bridge business needs and technical execution.
Demonstrated ability to manage multiple projects and priorities in a fast-paced environment while maintaining attention to detail.
Collaborative, action-oriented, and comfortable operating in cross-functional settings.

Nice To Haves

Experience designing data models for insurance or financial services use cases (policy, claims, actuarial, or investment data).
Familiarity with enterprise data governance frameworks and tools (Collibra, Alation, etc.).
Exposure to regulatory or reporting requirements within the insurance industry.

Responsibilities

Own the requirements/ design of insurance data models, ensuring that data structures reflect business logic and enable accurate, scalable reporting and analytics.
Define detailed data requirements by engaging with business stakeholders across finance, actuarial, investments, and risk to capture use cases and translate them into technical specifications.
Partner with technology teams to design, build, and enhance insurance data platforms and curare consumable data products, ensuring reliability, scalability, and ease of use.
Design, build, and maintain dashboards and reporting products in BI tools (e.g., Tableau, Power BI, Sigma, Streamlit), enabling stakeholders to consume data intuitively and make decisions with confidence.
Lead testing and validation efforts, ensuring data model integrity and accuracy before rollout.
Implement data governance standards, ensuring all insurance data is well-defined, cataloged, and documented for consistent usage across the firm.
Troubleshoot and resolve data quality issues, performing root cause analysis to drive tactical fixes and embed long-term fixes in the data model.
Provide business-driven analytics and ad hoc insights while leveraging centralized data products.
Collaborate with the Global Data Operations team to align insurance data practices with broader enterprise frameworks.
Mentor junior team members on data modeling, visualization, and product delivery best practices.