Connexus Credit Union - Who We Are:
Serving members across all 50 states, Connexus Credit Union is a member-focused cooperative that is proud to return profits to member-owners through high yields for checking accounts and deposit products, as well as competitive rates on our loans. We are a remote first employer with the majority of our employees residing in the upper Midwest.
As an employer we foster collaboration and high performance to achieve excellence. We holistically care for and develop our employees to thrive personally and professionally. We are proud to share our success with our employees and those we serve.
Connexus offers an Amazing Benefits package:
25 days of paid time off and 10 paid holidays
16 hours of paid Volunteer Time Off
401K Retirement with up to 6% employer match
Excellent Health, Dental, Vision insurance, including multiple plan options
Health Savings Account with generous employer contributions
Employer paid Life insurance, Short-Term and Long-Term Disability
Tuition Reimbursement from $4,000 - $7,000 per calendar year
Robust Learning and Development program that includes an annual professional development stipend
About the Role:
We are searching for a Senior Business Intelligence Data Analyst to join our Data & Insights team as a strategic partner to the business. This role delivers high‑impact analytics solutions-including dashboards, KPIs, advanced analysis, and automation-to turn complex data into clear, actionable insights. You’ll collaborate closely with stakeholders, work with large and complex datasets, communicate findings to both technical and non‑technical audiences, and support the growth and development of junior analysts.
Responsibilities:
Serves as a strategic analytics partner to leadership by translating business priorities into advanced analytical initiatives and solutions.
Designs, develops, and maintains enterprise-level KPIs, dashboards, reporting ecosystems, and analytical models that support long-term organizational goals.
Independently gathers, integrates, and prepares highly complex datasets from diverse internal and external sources, ensuring data quality, scalability, and consistency.
Conducts advanced analyses—including statistical modeling, segmentation, forecasting, and root-cause investigations—to deliver proactive and actionable insights.
Leads cross-functional discovery sessions to deeply understand business challenges and define analytical requirements, often identifying opportunities before they are requested.
Advises stakeholders on data governance, best practices for analytics, and secure data handling, improving organizational data literacy and adoption of analytic tools.
Acts as the Data & Insights representative on ePMO and strategic projects, ensuring timely, high-quality deliverables aligned with organizational priorities.
Drives enterprise automation and efficiency by creating reusable scripts, analytic frameworks, and automated workflows that streamline complex processes.
Serves as a technical and analytical mentor for Data Analysts and Associate Data Analysts, providing guidance on methodologies, quality assurance, and documentation.
Collaborates with data engineering and data science partners to enhance data pipelines, advise on architectural decisions, and support model development and deployment.
Delivers clear, compelling presentations that translate complex analytical findings into insights accessible to leadership and non-technical audiences.
Ensures full compliance with all Federal Regulations as they pertain to job duties, including BSA.
Position Requirements:
This position is Remote.
Bachelor's degree or commensurate experience is Required.
8+ years of Data Analysis experience is Required.
Prior experience working within Financial Services (such as Banking or Credit Unions) is Required.
Relationship management experience with financial lines of business & data visualization is Required.
Advanced proficiency in SQL, Excel, and Python, including experience with automation, performance tuning, and statistical libraries is Required.
Experience optimizing queries and workflows in centralized data warehouses (e.g., Snowflake, Data Bricks, etc.) is Required.
Experience creating polished dashboards and visualizations in Power BI is Required.
Microsoft Certified: Power BI Data Analyst Associate.
's Employer Recognitions:
2026 Best Place to Work in IT, Computer World
Equal Opportunity Employer/Disabled/Veterans/41 CFR 60–1.4, 41 CFR 60-1.35
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