Industry leader of growth and innovation, Data Analyst

Data Analyst

A well-established industry leader with a long history of growth and innovation, is seeking a Data Analyst to join a high-impact team where analytics, data modeling, and business strategy come together to drive business performance.

• Partner with business leaders to understand processes and identify analytics solutions that support strategic objectives
• Lead analytics projects from requirements gathering through deployment while managing multiple stakeholder priorities
• Design, develop, and maintain scalable reporting and data visualization solutions using Power BI and modern analytics platforms
• Translate business requirements into reusable data models, standardized reporting logic, and well-documented solutions
• Identify opportunities to improve reporting, data structures, and business processes through automation and optimization
• Drive user adoption through training, documentation, and consultative support
• Support data governance initiatives and help build a foundation for future AI-enabled analytics capabilities

• Bachelor's degree in a quantitative field such as Analytics, Information Systems, Computer Science, Finance, Economics, Mathematics, or related discipline
• 2–5 years of experience in analytics, business intelligence, reporting, or a related field
• Experience managing multiple projects and priorities within a collaborative, cross-functional environment
• Strong problem-solving skills and an ownership mentality with the ability to work independently
• Ability to communicate technical concepts to non-technical stakeholders and influence decision-making

Required

• Power BI (or similar BI/visualization tools)
• SQL
• DAX
• Python or other scripting languages
• Data modeling, ETL processes, and data transformation
• Experience working with financial, operational, or transactional datasets

Preferred

• Microsoft Fabric
• Azure Dev Ops, Jira, or similar project management tools
• Experience in governed data environments and centralized data models
• Exposure to AI-driven analytics, automation, APIs, and emerging data technologies

• High visibility across the organization
• Opportunity to influence business strategy through data
• Significant ownership and project leadership responsibility
• Strong culture of continuous improvement and innovation
• Exposure to modern analytics technologies and AI initiatives
• Clear opportunity for professional growth and advancement