Associate - Technology Data Analyst

Location Designation: Hybrid - 3 days per week Technology, Data, AI and Ventures: Within the Tech, Data, AI, Ventures (TDAV) organization, our work is guided by a shared vision: deploying the power of technology, data, AI and ventures to accelerate sustainable competitive advantage for New York Life's businesses. We build solutions that power how we serve policy owners, agents, advisors and employees while delivering measurable business outcomes. Across technology, data, AI, cyber, product, digital experience, architecture and infrastructure, TDAV combines the scale and investment of an industry leader, access to leading-edge technologies and the opportunity to help shape how a world-class financial services company competes in the AI era - all backed by the stability and purpose of a mutual company built to last. As part of AI & Data, you will play a critical role in advancing New York Life’s data-driven transformation. You will contribute to initiatives that modernize data platforms, enable advanced analytics, and support AI-enabled capabilities across the enterprise. By partnering closely with business, technology, and data engineering teams, you will help deliver scalable data solutions that improve decision-making, operational efficiency, and client and employee experiences. As a Technology Data Analyst within the AI & Data organization, you will serve as a key link between business needs, data, and technology. You will focus on analyzing complex data requirements, designing data solutions, and supporting the development of reliable, high-quality data pipelines. This role requires strong analytical skills, a solid understanding of data architecture, and the ability to translate business questions into actionable data and technical requirements. The ideal candidate has experience working in enterprise data environments, supporting data integration and analytics initiatives, and collaborating across data engineering, analytics, and product teams. What You’ll Do: The Technology Data Analyst will perform data, business, and technical analysis to design and deliver data solutions aligned with enterprise AI & Data strategy. The role emphasizes building data products, improving data pipelines, ensuring data quality, and enabling analytics and AI use cases. • Collaborate with business stakeholders, data engineers, and analytics teams to gather and document business, analytical, and data requirements. • Translate business questions and analytical needs into clear data specifications, source-to-target mappings, and technical requirements. • Perform data analysis, data profiling, and validation to support data ingestion, transformation, and consumption layers. • Partner with data engineering teams to design, enhance, and support scalable data pipelines and data products. • Support the development and maintenance of data models, metrics definitions, and semantic layers for reporting and analytics. • Validate data accuracy, completeness, and timeliness through testing, reconciliation, and monitoring activities. • Participate in Agile delivery processes, including backlog refinement, sprint planning, and UAT, with a focus on data readiness. • Serve as a liaison between business users, analytics teams, and data engineers to ensure shared understanding and successful delivery. • Identify data gaps, quality issues, and optimization opportunities, and recommend improvements aligned with AI & Data standards. What You’ll Bring: The Technology Data Analyst should understand end-to-end workflows and integrations, configuration, connecting processes, platforms, and data to deliver scalable and efficient solutions. The Technology Data Analyst brings a strong foundation in data analysis, data engineering concepts, and enterprise data platforms, with the ability to connect business objectives to data solutions. This role requires critical thinking, attention to detail, and the ability to communicate complex data concepts clearly. Required Skills: • Strong data analysis and problem-solving skills with the ability to translate business needs into data-driven solutions. • 3–5 years of experience as a Technology Analyst, Data Analyst, or similar role supporting enterprise data platforms. • Strong experience with SQL and data analysis for SQL skills for data analysis, validation, troubleshooting, and performance optimization. • Experience working with data pipelines, ETL/ELT processes, and data integration workflows. • Familiarity with Agile/Scrum methodologies and tools such as Jira, Confluence, or DevOps. • Ability to create clear technical documentation, process maps, and specifications for development teams. • Excellent communication and collaboration skills, with the ability to work effectively across teams and levels of the organization. • Strong attention to detail and the ability to manage multiple priorities in a fast-paced environment. Preferred Skills: • Understanding of modern data architectures, including data lakes, data warehouses, and cloud-based data platforms. • Experience supporting analytics, BI, or AI/ML use cases through well-designed data solutions. • Knowledge of data quality frameworks, data governance, or metadata management practices. • Exposure to API-based data ingestion, streaming data, or near-real-time data pipelines. • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud and their native data services. • Experience in insurance or financial services and an understanding of regulated data environments. Job Level: LEVELPF2 Pay Transparency Salary Range: $81,000-$115,500 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, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligib