Influence and design data models, structures, and transformation logic that enable accurate and consistent reporting across the organization.
Lead the full lifecycle of analytical solutions, including requirements gathering, data mapping, solution design, validation, and implementation.
Serve as a liaison between business stakeholders and technical teams, translating complex needs into structured, data-driven solutions grounded in system capabilities.
Collaborate with data engineering and technology teams to ensure data pipelines, warehouse structures, and reporting layers align with business objectives.
Evaluate and improve data lineage, system interactions, and data quality across platforms to ensure reliability and scalability of solutions.
Identify gaps in data structure, accessibility, and usability, and recommend enhancements that improve process, performance and efficiency.
Guide data validation and testing efforts, lead UAT and resolve issues, to ensure solution meets business and technical requirements.
Provide guidance and mentorship to analysts, promoting best practices in data modeling, problem-solving, and solution design.
Provide on-call support when needed to ensure continuity of service and timely resolution of data-related issues.
Perform other duties as assigned to support evolving business and data needs.

Bachelor’s degree in Computer Science, Information Technology, Business, or a related field — or equivalent work experience
Minimum 7 years of experience delivering data and business intelligence solutions in complex environments, with advanced proficiency in SQL and working knowledge of relational and non-relational databases
Hands-on experience with data warehousing concepts, including data modeling, architecture, ETL/ELT processes and data pipelines, and data flows from source systems through integration and presentation for end-user consumption
Proven ability to collaborate and manage stakeholder engagement by working across business and technical teams to gather functional and technical requirements, perform business and data analysis, design and deliver scalable data solutions, data models, data structures, reports and dashboards
Working knowledge of Software Development Life Cycle (SDLC) and Agile methodologies, with demonstrated experience owning solutions end-to-end from requirements through delivery
Analytical and problem-solving skills, with the ability to identify root causes and implement scalable, robust solutions

Senior Business Intelligence Analyst

Key skills