Technical Data Analyst

Location: Onsite - Farmington Hills, MI  (Must be available to work in Farmington Hills, MI, Relocation package not available)

Temporary Duration: Estimated to be 6 months
Department: IT
Reports to: Director of Data and Analytics

About GreenPath Financial Wellness

GreenPath is a national nonprofit focused on empowering people to lead financially healthy lives. We foster a collaborative, innovative, and data-driven culture to support our clients, employees, and partners.

Are you passionate about analytics, AI, and transforming data into actionable insights? GreenPath is seeking a creative and technically skilled Technical Data Analyst to drive smarter, faster decision-making. You'll leverage Power BI and emerging AI technologies to build impactful dashboards, automate reporting, and uncover business improvement opportunities. Collaborate with stakeholders to deliver efficient, scalable solutions that shape a data-driven culture and elevate business performance.

• Build impactful Power BI dashboards and reports, integrating AI-driven insights.
• Design interactive visuals for quick decision-making and predictive trend analysis.
• Apply advanced Power BI techniques (DAX, SQL, custom visuals) for complex scenarios.
• Automate manual reporting processes to improve scalability and reduce ad hoc requests.
• Refine report designs post-deployment for enhanced usability and relevance.
• Collaborate with stakeholders to identify data needs and AI opportunities.
• Research and integrate internal/external data sources aligned with business goals.
• Document high-quality requirements for analytics solutions.
• Translate business needs into technical specifications and prioritize projects.
• Conduct deep analysis using structured/unstructured data for actionable insights.
• Present data using intuitive visualizations, AI tools, and storytelling techniques.
• Integrate data across systems to support segmentation, outreach, and strategic initiatives.
• Leverage AI to automate tasks and drive innovative problem-solving.
• Analyze helpdesk data to support operations and automate recurring reports.
• Promote data literacy and foster a data-driven decision-making culture.
• Maintain and enhance the data catalog with AI-supported solutions.
• Collaborate cross-functionally for ad hoc reporting and continuous improvement.
• Proactively contribute innovative analytics ideas for operational efficiency.

• Bachelor's degree in Data Science, Computer Science, Statistics, Business Analytics, or related field (or equivalent experience).
• Advanced degree in Mathematics, Statistics, Data Science, or related discipline preferred.
• 4+ years of hands-on experience with large, complex datasets across multiple systems.
• Proficiency in Microsoft Power BI (DAX, Power Query, advanced dashboard development).
• Strong working knowledge of SQL for report development and analysis.
• Experience with Microsoft Power Automate or similar automation tools.
• Familiarity with AI tools and techniques (Azure AI, Copilot, OpenAI APIs).
• Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint, Outlook).
• Experience with other data visualization tools (Tableau, Qlik) is a plus.
• Strong documentation skills for data requirements, metadata, and reporting assets.

• Advanced dashboard, report, and data model building in Power BI.
• Strong command of DAX, SQL, and data modeling.
• Experience applying AI tools to enhance analysis and automate tasks.
• Ability to translate complex data into clear, compelling narratives.
• Skilled in designing intuitive, interactive visuals.
• Capable of automating manual reporting and enabling scalable, self-service solutions.
• Strong ability to identify trends, patterns, and actionable insights.
• Effective collaboration with business analysts, stakeholders, and technical teams.
• Clear communication of technical findings to non-technical audiences.
• Innovative, accuracy-focused, and eager to learn emerging technologies.

• Long periods of sitting while using a computer and office equipment.
• Business hours with occasional on-call requirements (3–4 times/month).
• Travel requirements: