Senior Investment Data Analyst

Together we fight for everyone’s opportunity for a better financial future. We will do this together — with customers, partners and colleagues. We will fight for others, not against: We will stand up for and champion everyone’s access to opportunities. The status quo is not good enough … we believe every individual and every community deserves access to financial opportunities. We are determined to support both individuals and communities in reaching a better financial future.  We know that reaching this future depends on our actions today. Like our Purpose Statement, Voya believes in being bold and committed to action.  We are committed to a work environment where the differences that we are born with — and those we acquire throughout our lives — are understood, valued and intentionally pursued. We believe that our employees own our culture and have a responsibility to foster an environment where we all feel comfortable bringing our whole selves to work. Purposefully bringing our differences together to positively influence our culture, serve our clients and enrich our communities is essential to our vision. Are you ready to join a company with a strong purpose and a winning culture? Start your Voyage – Apply Now ***Please Note: This is a hybrid position requiring approximately 2-3 days per week onsite in the office, with the remaining time working remotely, consistent with team and business needs. *** Get to Know the Opportunity   Voya Investment Management is   seeking   an experienced, analytical, and forward-thinking investment data professional to support the continued evolution of a trusted, scalable, and AI-enabled investment data environment.   This role serves as a critical bridge between investment business partners, data management, operations, technology teams, and external service providers. The successful candidate will combine investment-domain knowledge, business analysis skills, data analysis capabilities, and practical experience using modern AI-enabled tools to improve data quality, reporting, controls, and operational efficiency.   The ideal candidate understands how investment data moves across multiple systems and vendors, can translate stakeholder needs into actionable requirements, and is comfortable analyzing complex datasets to   identify   exceptions, patterns, and process improvement opportunities.   ***Please Note: This is a hybrid position requiring approximately 2-3 days per week onsite in the office, with the remaining time working remotely, consistent with team and business needs. *** The Contributions   You’ll   Make   Investment Data Analysis and Business Partnership   Partner with investment, operations, technology, reporting, and data management teams to understand business   objectives , data needs, and operational challenges.   Gather, challenge, and clarify business requirements, including details stakeholders may not initially provide.   Translate business needs into functional requirements, data specifications, acceptance criteria, testing scenarios, and process improvements.   Analyze investment data across asset classes such as fixed income, equities, derivatives, and mortgage-related investments.   Investment Data Management and Data Flow Understanding   Support integration, validation, and monitoring of data from internal systems, external investment platforms, custodians, administrators, and   market-data   providers.   Develop a strong understanding of Voya Investment Management data models and the flow of data from source platforms through transformation processes into the investment reporting warehouse.   Investigate data exceptions,   identify   root causes, and recommend enhancements to improve data quality, controls, and usability.   Help   maintain   trusted, consistent, and business-ready investment data across downstream reporting and analytics environments.   Data Analytics and Technical Analysis   Use SQL and Python to query, reconcile,   validate , profile, and analyze large investment datasets.   Assess current logic, transformation rules, reconciliations, and data feed requirements in partnership with technology teams.   Support testing for new or changed data feeds, warehouse enhancements, reporting changes, and process improvements.   Assist   with analysis and validation in Snowflake or comparable data platforms, with   focus   on data extraction, interpretation, and business use rather than back-end platform administration.   AI Enablement and Process Improvement   Use approved AI tools such as GitHub Copilot and Microsoft Copilot to improve requirements development, SQL and Python analysis, testing support, documentation, and exception analysis.   Identify   opportunities to simplify, standardize, automate, and reduce risk in recurring data processes and manual workflows.   Validate AI-assisted outputs, protect confidential information, and   maintain   human accountability for analysis, decisions, and production changes.   Support use cases related to anomaly detection, exception classification, root-cause analysis, data discovery, and workflow efficiency where   appropriate .   Stakeholder and Vendor Collaboration   Build trusted relationships with investment professionals, operations partners, technology teams, senior leaders, and external service providers.   Communicate technical and data topics in clear business language, including scope, risks, dependencies, decisions, and delivery status.   Support data interface work involving platforms and providers such as BlackRock Aladdin, Bloomberg, State Street, BNY, Charles River, and comparable systems.   Collaborate with engineers and analysts to turn sound analysis and prototypes into secure, tested, documented, and production-ready solutions.   Leadership and Future Team Growth   Operate as a senior individual contributor initially, with the potential to guide or devel