Technical Data Analyst - Temporary 6 Month Role - ONSITE

GreenPath Financial Wellness; Farmington Hills (MI); On-site; USD 70,000 - 90,000; Part time

Job summary

A financial wellness organization is seeking a Technical Data Analyst for a temporary six-month role in Farmington Hills, MI. The analyst will leverage Power BI to build interactive dashboards and automate reporting while collaborating with stakeholders to drive data-driven decision-making. Candidates should have a Bachelor's degree in a relevant field, at least 4 years of experience, and proficiency in tools like Power BI and SQL. This onsite position offers a mid-senior level opportunity with a focus on analytics and AI.

Qualifications

• 4+ years of experience with large datasets.
• Proficiency in Microsoft Power BI for dashboard development.
• Strong working knowledge of SQL.
• Experience with AI tools and automation.

Responsibilities

• Build Power BI dashboards and integrate AI insights.
• Automate manual reporting processes.
• Collaborate with stakeholders to identify needs.
• Conduct deep data analysis for insights.

Skills

Advanced dashboard building in Power BI

DAX

SQL

Data modeling

AI tools

Data analysis

Documentation skills

Education

Bachelor’s degree in Data Science or related field

Advanced degree preferred

Tools

Microsoft Power BI

SQL

Microsoft Power Automate

Microsoft Office Suite

Tableau

Job description

Technical Data Analyst – Temporary 6 Month Role – ONSITE

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

Temporary Duration: Estimated 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.

Position Purpose

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.

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.

Qualifications

• 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.

Skills Characteristics

• 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.

Working Conditions

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

Seniority Level

• Mid‑Senior level

Employment Type

• Temporary

Job Function

• Information Technology

GreenPath, Inc. practices the concept of equal employment opportunity with respect to hiring, promotions, transfers, pay, discipline, fringe benefits, and all other terms and conditions of employment. No individual will be discriminated against, and no employment decisions will be made, on the basis of an individual's race, color, national origin, religion, age, gender, gender identity, protected disability, marital status, familial status, veteran status, height, weight or citizenship.