Senior Data Analyst

Role Overview

• 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.

Requirements

• 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

Tech Stack

• Python
• SQL

Benefits

• 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