Performance Analyst, IT​/Tech

Work Location:

This position will work onsite at our South Portland, Maine location.

Clear inputs. Reliable outputs. Decisions backed by data.

Atlantic is Maine’s leading credit union, and our growth is driven by what the numbers tell us. But growth needs better visibility—and we’re looking for a Growth & Performance Analyst to help us see what’s really happening and what should happen next.

This isn’t a generic reporting role. It’s where data, structure, and decision‑making meet. You’ll build and maintain the reports and dashboards that leaders rely on every day. Think consistent definitions. Metrics that actually align to strategy. And analysis that moves conversations from opinion to evidence.

We’re a hands‑on, data‑curious, collaboration‑first kind of team. You’ll be the engine behind enterprise reporting for loans, deposits, member growth, marketing performance, and operational metrics—and the person leaders turn to when they need to understand the “why” behind the numbers.

This is a highly visible, stakeholder‑facing role. You will routinely write executive summaries, lead live discussions with department heads, and field unscripted questions from senior leaders. You won’t just refresh spreadsheets; you’ll help shape how Atlantic uses data to make decisions.

We are Atlantic. Our mission is to help people do better. Our culture is inclusive, fast‑moving, and grounded in real results. In our world, clean data beats loud opinions, clear definitions beat assumptions, and good questions are just as important as good answers.

Atlantic is an Equal Opportunity Employer.

We offer competitive pay, full benefits, meaningful work with direct access to leadership, and a role that will push your analytical, technical, and communication skills to the next level.

• 3+ years of experience in data analysis, reporting, or business intelligence.
• Strong Excel skills (pivot tables, formulas).
• Intermediate SQL and Power BI (or equivalent BI tool) experience.
• Comfort pulling, structuring, and validating data from multiple systems.
• Ability to translate business questions into metrics and metrics into recommendations.
• High discretion and accountability when handling sensitive data.