Senior Analyst, Insurance Data Ops

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

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.

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.

Qualifications

• 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.

Preferred Qualifications

• 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.

Location Requirement

This role is based in KKR's Boston office. Regular in-office presence is expected, with flexibility in accordance with firm policy.

Various jurisdictions have passed pay transparency laws that require companies provide salary ranges for any positions for which they are accepting applications. Global Atlantic has offices in Atlanta, Batesville, Bermuda, Boston, Des Moines, Hartford, Indianapolis, and New York City. The base salary range posted below is inclusive of the lowest cost of living geography to the highest in which we have a Global Atlantic office.

Global Atlantic's base salary range is determined through an analysis of similar positions in the external labor market. Base pay is just one component of Global Atlantic's total compensation package for employees and at times we hire outside the boundaries of the salary range. Other rewards may include annual cash bonuses, long-term incentives (equity), generous benefits (including immediate vesting on employee contributions to a 401(k), as well as a company match on your contributions), and sales incentives. Actual compensation for all roles will be based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Compensation for our more senior positions have a larger component of short-term cash bonus and long-term incentives.

The base salary range for this role is $70,000 — $95,000 USD

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Privacy Statement

Our employees are in the office 5 days per week in New York and 4 days per week in all other offices. If you have questions on this policy or the application process, please reach out to [email protected]

Global Atlantic reserves the right to modify the qualifications and requirements for this position to accommodate business needs and regulatory changes. Future adjustments may include obtaining specific licenses or certifications to comply with operational needs and conform to applicable industry-specific regulatory requirements, state and federal laws.