Technical Data Analyst - Temporary - ONSITE
Listed on 2025-12-10
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IT/Tech
Data Analyst, Data Science Manager, Business Systems/ Tech Analyst, Data Engineer
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Technical Data Analyst - Temporary 6 Month Role - ONSITETemporary Non-Manager GFW-000: WHQ CORPORATE, MI, Farmington Hills, MI, US 1 Attachments
30+ days ago Requisition
Salary Range: $70,000.00 To $85,000.00 Annually
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 Green Path Financial Wellness
Green Path 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.
Position PurposeAre you passionate about analytics, AI, and transforming data into actionable insights? Green Path 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.
Key Responsibilities- 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…
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