Business Intelligence Analyst

Green Stone Farm Credit Services is seeking a Business Intelligence (BI) Analyst to join our Data & Analytics team. This role is essential in transforming organizational data into meaningful insights that drive strategic and operational decision‑making. The BI Analyst partners closely with business units and technology teams to design, develop, and maintain high‑quality reporting, dashboards, and analytical solutions. This position also plays a key role in promoting consistent data usage, supporting data governance practices, and ensuring the confidentiality, integrity, and availability of sensitive information.

The ideal candidate is analytical, collaborative, and passionate about enabling data‑driven decision making across the organization.

Our $16 billion portfolio of customers, ranging from rural homeowners to global agriculture and food businesses, provides our employees with a unique opportunity to maintain a local presence while working for a top workplace. Our diverse business structure provides exciting opportunities for passionate, talented professionals in many areas. Additionally, many of our team members are highly respected in their area of expertise at both the state and national level making Green Stone one of the top Farm Credit associations in the country.

Core Four values steer everything we do tomer First, Deliver Quality, Get involved, Do the right thing. Employees work as a team to create a company fueled by the desire to best serve each other and our customers every day. Greenstone culture promotes innovative thinking, professional development, health and wellness, and a relaxed work environment with flexible schedules.

Green Stone trusts the people we hire. We empower employees to make the best decisions for the customer and the company.

Green Stone has an outstanding Total Rewards package, which includes, but is not limited to:

• 15 vacation days, 12 sick days, and 12 paid holidays per year
• 16 hours of volunteer time
• Paid parental leave
• 401(k) plan – up to a 9% employer contribution/match
• Medical, Dental, Vision, STD, LTD, Life/AD&D benefits, etc.
• $150/year Logo Wear allowance
• $400/year Wellness Subsidy/Reimbursement & wellness programs
• $6,000 lifetime maximum Student Debt repayment program
• Yearly bonus/incentive opportunity available to all benefit eligible employees

• Data Analysis & Insights

• Analyze data to identify trends, patterns, and actionable insights that support business objectives
• Translate business questions into meaningful metrics and analytical approaches
• Provide clear, concise, data‑driven recommendations to stakeholders
• Use Power Platform tools to automate reporting, processes, and data delivery

• Design, build, and maintain Power BI dashboards, reports, and semantic models
• Develop and optimize DAX measures to ensure accuracy and consistency
• Ensure reporting solutions are intuitive, well‑documented, and aligned with business definitions
• Continuously enhance reporting based on stakeholder feedback and evolving needs

• Use SQL, Python, and Databricks to access, prepare, and analyze curated data sets in the Gold reporting layer
• Validate data accuracy, completeness, and consistency across BI solutions
• Identify data quality issues and collaborate with data engineering teams to resolve root causes
• Document metric definitions, assumptions, and data usage to support transparency and trust

• Partner with business and technology stakeholders to gather requirements and deliver BI solutions
• Participate in Agile and SAFe ceremonies, contributing to planning and continuous improvement
• Communicate effectively with both technical and non‑technical audiences
• Ensure the confidentiality, integrity, and availability of customer‑sensitive and business‑critical data

• Bachelor’s degree required; preferred fields include Data Science, Statistics, Computer Science, Mathematics, Economics, Finance, or related areas
• Minimum 2 years of experience in data analysis, business intelligence, or a similar role is required
• Proficiency in…