Sr. Data Analyst - Data Fabric
Listed on 2026-02-17
-
IT/Tech
Data Analyst, Data Engineer, Data Warehousing, Data Science Manager
Who We Are
At Corebridge Financial, we believe action is everything. That’s why every day we partner with financial professionals and institutions to make it possible for more people to take action in their financial lives, for today and tomorrow.
We Align To a Set Of Values That Are The Core Pillars That Define Our Culture And Help Bring Our Brand Purpose To Life- We are stronger as one:
We collaborate across the enterprise, scale what works and act decisively for our customers and partners. - We deliver on commitments:
We are accountable, empower each other and go above and beyond for our stakeholders. - We learn, improve and innovate:
We get better each day by challenging the status quo and equipping ourselves for the future. - We are inclusive:
We embrace different perspectives, enabling our colleagues to make an impact and bring their whole selves to work.
The Information Technology organization is the technological foundation of our business and works in collaboration with our partners from across the company. The team drives technology and digital transformation, partners with business leaders to design and execute new strategies through IT and operations services and ensures the necessary IT risk management and security measures are in place and aligned with enterprise architecture standards and principles.
AboutThe Role
We are seeking a highly skilled Sr. Data Analyst with a strong background in the Life and Retirement Insurance industry to join our growing Data & Analytics team. This role is critical in shaping how we manage, store, and leverage data across the organization to drive insights and operational excellence. Data Analyst will lead complex data initiatives to provide actionable insights for operational efficiency, product development and risk management.
The candidate will be part of the Information Management organization responsible for providing source-to-target data mappings and bridging the gap between business stakeholders (policy admins, Actuarial, Underwriting, Marketing and operations) and IT data engineering teams to ensure enterprise data models accurately reflects data for Life and Annuity products. You will be responsible for creating/maintaining BI reports using tools like Tableau/Power
BI.
- Lead source-to-target data mapping for Enterprise Data Warehouse, focusing on complex Life and Retirement products.
- Create and maintain paginated/interactive dashboards and reports using tools like Tableau or Power
BI. - Perform data analysis on raw source data and enterprise data warehouses/data marts to access and maintain data quality.
- Develop and maintain metadata definitions for sourcing data stores and all evolutions of the Data Lake from ingested sources to consumers.
- Work with stakeholders across departments to develop analytical solutions for business challenges.
- Participate in data governance initiatives and ensure data integrity, consistency, and quality.
- Create and maintain data dictionaries, ER diagrams, and mapping documentation.
- Facilitate data requirements meetings with stakeholders to drive data solutions.
- Assist developers with query development and performance optimization.
- Collaborate with other technology teams and architects to define and develop solutions.
- This is a hands‑on role.
- Bachelor's or Master’s degree in Information Technology or related field preferred, or equivalent work experience.
- A seasoned IT professional with senior leadership qualities and background with a minimum of 10 years’ experience in IT.
- 8+ years of experience in data analysis and 5+ years within financial services in Life/Retirement business.
- 8+ years of experience SQL and BI tools like Tableau/Power
BI. - 10+ years of experience in the IT Industry.
- Strong working knowledge of SQL, Data Analysis tools like Python/R to analyze large datasets for trends.
- Perform “root cause analysis” on data quality issues to maintain integrity of highly sensitive financial data.
- Deep understanding of Life Insurance and Retirement (Individual and Group) industry space preferred.
- Excellent technical and organizational skills.
- Familiarity with data governance frameworks…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).