Senior Associate, Solution Analyst Data Warehousing

Location Designation: Hybrid - 3 days per week Location: Tampa, FL Location Designation: Hybrid – 3 days per week in office Work Schedule: This position requires employees to work onsite at the New York Life Tampa office three days per week, Tuesday, Wednesday, and Thursday, with remote work on Monday and Friday. Business Unit Overview At New York Life Direct, you’ll be joining the nation’s #1 direct-to-consumer provider of life insurance. The AARP Life Insurance Program from New York Life is endorsed by AARP and is the only life insurance program developed exclusively for AARP members. Your work will help more Americans achieve greater financial security and peace of mind. Role Overview As a Solution Analyst on the Data Warehousing team, you will play a key role in the analysis, design, and delivery of complex enterprise data warehousing and business intelligence solutions. You will independently lead requirements analysis and solution design activities, translating complex business needs into scalable technical solutions and recommending approaches aligned with business priorities, data architecture standards, and long-term technology objectives. You will exercise independent judgment to resolve ambiguous requirements, address complex delivery challenges, and improve solution quality and team effectiveness. What You’ll Do • Lead complex requirements analysis and solution design for enterprise data warehousing, integration, and business intelligence initiatives, developing functional and technical specifications, user stories, acceptance criteria, and source-to-target mappings. • Partner with business stakeholders, data engineers, and architects to evaluate solution alternatives and recommend scalable approaches aligned with enterprise architecture and data governance standards. • Independently facilitate cross-functional discovery and design discussions, resolve conflicting requirements, assess technical feasibility, and build stakeholder alignment. • Drive analysis and coordination of complex initiatives from intake through delivery, leveraging AI-enabled tools to enhance efficiency, identify risks and dependencies, and recommend adjustments to support roadmap execution. • Use advanced SQL and analytical techniques to investigate complex data issues, evaluate source systems, validate transformations, and recommend data quality and integration improvements. • Serve as a key technical and functional resource for engineering teams, resolving complex implementation questions and providing detailed requirements and documentation. • Lead requirements validation and solution acceptance activities, evaluating outcomes against business objectives and addressing gaps with technical teams. • Identify and recommend improvements to analysis, requirements management, and delivery practices; apply AI-assisted development tools and specification-driven approaches to streamline workflows. • Provide functional guidance and knowledge sharing to colleagues and contribute to consistent team practices. What You’ll Bring You bring specialized expertise in solution analysis, data warehousing, data integration, and business intelligence, with an understanding of how enterprise data solutions support business operations. You independently navigate complex technical environments, interpret ambiguous business challenges, and develop practical solutions through sophisticated analytical thinking and sound judgment. You collaborate across disciplines, communicate complex concepts clearly, and influence stakeholders toward solutions that balance business value, technical feasibility, and sustainability. You proactively identify risks and opportunities and use modern tools, including AI-assisted technologies, to improve delivery. Required Skills • Significant experience in solution analysis, business systems analysis, technical business analysis, or a related IT delivery role, including complex cross-functional initiatives. • Advanced ability to translate complex business needs into functional and technical specifications, user stories, acceptance criteria, and data mappings. • Deep knowledge of enterprise data warehousing, data integration, data pipelines, and business intelligence, including related architecture and governance considerations. • SQL expertise for complex data investigation, source-system analysis, transformation validation, and solution evaluation. • Demonstrated ability to assess solution alternatives, identify dependencies, and recommend approaches to complex business and technical problems. • Experience independently leading discovery sessions, facilitating cross-functional solution discussions, and influencing stakeholder alignment. • Strong understanding of Agile delivery, backlog management, and coordination of multiple complex initiatives. • Ability to exercise independent judgment and resolve complex challenges with limited guidance. • Hands-on experience with AI-assisted development tools such as GitHub Copilot or Claude Code. • Strong analytical, communication, problem-solving, and stakeholder management skills. Preferred Skills • Experience with ETL, enterprise data modeling, source-to-target mappings, and complex data integration architectures. • Knowledge of enterprise data architecture, data governance, data quality, and related best practices. • Experience improving solution analysis, requirements management, and technology delivery processes. • Experience with Agile work management tools, preferably Jira. • Experience in financial services or insurance. • Bachelor’s degree in Computer Science, Information Systems, Business, Engineering, or a related field, or equivalent practical experience. Pay Transparency Salary Range: $110,000-$140,000 Overtime eligible: Exempt Discretionary bonus eligible: Yes Sales bonus eligible: No Actual base salary will be determined based on several factors but not limited to individual’s experience, skills, quali