Analyst-Data Science

How will you make impact in this role:

• Execute product roadmap initiatives for the Investments Management ecosystem across LUMI, TM1, and related BI platforms, partnering with Product Managers and Technology teams to deliver business value.
• Partner with business stakeholders to gather, analyze, and document business requirements, translating them into user stories, functional specifications, and acceptance criteria.
• Assist in managing and refining the product backlog by tracking requirements, documenting enhancements, and supporting prioritization activities.
• Perform detailed data analysis to identify business trends, process improvement opportunities, and actionable insights that support product decisions.
• Support the development, maintenance, and enhancement of foundational data products on LUMI (e.g., Acquisitions Database, Offer Data Layer, EIDM, PO3), ensuring data accuracy, consistency, and usability.
• Collaborate with Technology teams during design, development, testing, and deployment to ensure solutions meet business requirements and quality standards.
• Execute functional testing, validate business outcomes, and support User Acceptance Testing (UAT) activities for new product capabilities and enhancements.
• Build and maintain dashboards, reports, and self-service analytics solutions using Tableau, Power BI, or similar visualization tools to enable informed decision-making.
• Monitor product performance through defined metrics such as adoption, data quality, and operational efficiency, and recommend continuous improvements.
• Support data governance initiatives by validating data quality, documenting business rules, and ensuring adherence to enterprise standards.
• Research, evaluate, and pilot opportunities to leverage Gen AI capabilities to improve productivity, automate manual processes, and enhance user experiences.
• Partner with Product, Finance, and Technology teams to analyze business problems, identify solution options, and support delivery of scalable data and technology solutions.
• Prepare product documentation, process flows, release notes, training materials, and stakeholder communications to support successful product adoption.
• Support recurring planning and governance activities, including monthly AENB 81 and VCC documentation, reporting, and operational processes.

• Strong analytical mindset with the ability to interpret data and provide actionable business insights.
• Excellent attention to detail and commitment to delivering high-quality work.
• Ability to manage multiple priorities and deliver results in a fast-paced environment.
• Strong organizational and documentation skills.
• Curiosity and willingness to learn new technologies, product management practices, and AI capabilities.
• Effective collaboration and relationship-building skills across cross-functional teams.
• Ability to work through ambiguity, ask thoughtful questions, and propose practical solutions.
• Proactive mindset with a continuous improvement approach to processes and products.
• Basic understanding of AI/ML concepts, data analytics, or automation technologies is a plus.
• Passion for building scalable, user-centric data products that deliver measurable business value.

• Experience in business analysis or data analytics with exposure to large and complex datasets.
• Foundational understanding of product management concepts, Agile methodologies, and software development lifecycle.
• Experience translating business requirements into user stories, process documentation, or functional specifications.
• Proficiency in SQL/Bigquery/Lumi and Hive / Yellowbrick; Python knowledge is preferred.
• Experience with Tableau, Power BI, TM1, or similar reporting and visualization platforms is preferred.
• Understanding of data modeling, data governance, and data quality principles.
• Strong analytical and problem-solving skills with the ability to synthesize complex information into meaningful insights.
• Excellent written and verbal communication skills with the ability to collaborate across business and technology teams.
• Bachelor's degree in Finance, Mathematics, Statistics, Computer Science, Information Systems, Engineering, or a related field.
• Familiarity with Gen AI tools and productivity platforms (e.g., ChatGPT, Gemini, Claude, Microsoft Copilot) is preferred.