Technical Business Data Analyst

Jovia Financial Credit Union is a not-for-profit organization focused on providing innovative banking solutions. The Technical Business Data Analyst will be responsible for advanced data analysis, ensuring data quality, and developing business intelligence solutions to support the organization's goals.

Responsibilities:

• Write optimized, production-grade SQL and Python scripts to profile large-scale relational and non-relational datasets
• Identify systemic data anomalies, patterns, and structural gaps
• Design, implement, and maintain data quality validation rules, exception reporting, and monitoring systems
• Define and track key Data Quality Indicators (DQIs) like accuracy, completeness, and latency
• Partner with Data Engineers to design, build, and optimize data warehouse models and staging layers tailored for advanced enterprise reporting
• Lead forensic investigations into data discrepancies or pipeline anomalies
• Translate technical data failures into quantifiable business risks and coordinate cross-functional remediation
• Translate ambiguous business hypotheses into explicit technical data requirements, schema definitions, and algorithmic logic for data engineering teams
• Develop complex, high-performance semantic layers and interactive dashboards in enterprise BI tools, ensuring strict compliance with established data governance policies
• Create visually attractive dashboards to communicate the status of enterprise initiatives, KPIs, goals, and financial measurements
• Continually look for opportunities to automate, working with the data team, to save resources in the business units
• Compile recommendations into a digestible and actionable format for the purpose of decision making
• Support data needs for enterprise prioritized problems supporting a cadence such as weekly, monthly, quarterly business reviews; respond to ad-hoc reporting needs while ensuring data accuracy & integrity

Requirements:

• Bachelor's degree or equivalent experience; Three to five years of Marketing/Business Analytics, Computer/Data Science; or relevant experience in a data-driven role
• Skilled at developing solutions based on an understanding of business objectives to measure ongoing performance and understand performance drivers
• Advanced SQL programming capabilities including Stored Procedures, Triggers, and optimization
• Business Intelligence experience with Power BI or Google Analytics or Looker
• Strong working knowledge of data warehouses
• Must be a reliable self-starter who can work independently and handle multiple projects with minimal oversight
• Ability to communicate professionally and effectively and write effective and professional communications
• Organized, detail oriented and has a constant eye on deadlines
• Strong Microsoft Excel skills a must
• Experience with Banking Technology