Analyst-Data Science

Description 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. Responsibilities - 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. Qualifications - 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.