Lead Solutions Analyst – Data & Analytics

Job responsibilities

Lead the elicitation, documentation, and validation of business and data flow requirements, ensuring alignment with stakeholder expectations and technical feasibility
Uses enterprise-authorized AI capabilities within the work environment to accelerate requirements synthesis and solution optioning, validating outputs and handling data according to sensitivity and security requirements.
Promotes reuse-first, AI-assisted practices for analysis and documentation across the team, ensuring human review and alignment to delivery standards.
Utilize advanced data analytics techniques to extract insights from large, diverse datasets, driving data-informed decision-making and supporting key business initiatives
Maintain up-to-date and accurate data analysis documentation for reference purposes
Identify redundancies, automation opportunities, process inefficiencies and provide solutions
Identify potential risks and escalate issues as required.
Continuously explore opportunities to improve application functionality, making recommendations for enhancements.
Influence- Experience influencing senior leaders, finance teams and technology contributors, adept at articulating complex problems to all levels.
Proficient in designing and wireframing UI improvements that enhance user experiences.

Required qualifications, capabilities, and skills

5+ years of experience or equivalent expertise in solutions analysis, technical program delivery, or a related field
Demonstrated expertise in data analysis and data application, including hands-on experience with major data visualization platforms
Advanced knowledge of data analytics techniques, with experience in developing and interpreting models, diagrams, and data-driven insights
Proficiency in working with SQL databases, including the development and optimization of procedures and views to enhance data management and retrieval processes
Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support solutions analysis workflows with strong validation habits and awareness of data sensitivity.
Ability to review and validate AI-assisted analyses and recommendations before use, escalating when uncertain and following data handling expectations.
Strong track record of leading through change, navigating ambiguous situations, and managing dependencies in complex projects
Comfortable working in cross-functional and multidisciplinary teams. Ability to work independently and as part of a team
Ability to think critically, embrace new technologies, and balance stakeholder needs with user requirements.
Hands on experience using SDLC tools, such as JIRA and Confluence.
Hands on experience with dashboards and data visualization tools

Preferred qualifications, capabilities, and skills

Master’s or bachelor’s degree in computer science or engineering related field; or equivalent related professional experience
Dashboard development with Tableau
Data Warehousing and Data Lake experience
Experience in aggregating and transforming data for optimized reporting