Technical Business Data Analyst

Jovia Financial Credit UnionWestbury, NY
$92,366 - $115,457Hybrid

About The Position

Join our team and begin writing your next success story with us. If you’re looking for a place where culture and leadership matter, look no further. Whether you work here, bank here, or are just getting to know us — this is what it feels like to be part of Jovia. We are Jovia Financial Credit Union. Our name evokes joy, a feeling of optimism, trust, and “banking on the bright side”. We are a new kind of credit union, one that combines service and value with the convenience that today’s technologies allow. At Jovia, we have provided brighter banking for over 85 years, driven by values like innovation, convenience, and community. As a not-for-profit organization, we focus on what’s best for our members, not profits - Come see for yourself! Awarded as one of the best places to work, Jovia has more than $4 billion in assets, 240,000 members, and 500+ employees, we attract the best and the brightest talent-- who do the right thing and present a can-do spirit in a culture of fun, fulfilment, advancement, and development. Find your joy here, every day. Our employees are passionate about our mission, growing through professional development and making a real difference through community involvement and service. We offer a diverse, inclusive work environment with flexible opportunities and competitive benefits. Join us in shaping the future of banking by joining our team.

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.
  • Internet speed of 100mbps or higher required (you can test this by going to www.speedtest.net)
  • Able to dedicate a quiet space for daily work that is free of sound interruptions.

Nice To Haves

  • Experience with Banking Technology a plus.

Responsibilities

  • Advanced Data Analysis & Profiling: 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.
  • Data Quality Frameworks & Auditing: 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.
  • Analytical Data Modeling: Partner with Data Engineers to design, build, and optimize data warehouse models and staging layers tailored for advanced enterprise reporting.
  • Root-Cause & Impact Analysis: Lead forensic investigations into data discrepancies or pipeline anomalies. Translate technical data failures into quantifiable business risks and coordinate cross-functional remediation.
  • Technical Requirement Translation: Translate ambiguous business hypotheses into explicit technical data requirements, schema definitions, and algorithmic logic for data engineering teams.
  • Strategic BI Architecture: Develop complex, high-performance semantic layers and interactive dashboards in enterprise BI tools, ensuring strict compliance with established data governance policies.
  • Data Visualization & Reporting: 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.

Benefits

  • Competitive compensation with paid training
  • Engaged Managers who value your input, are transparent, and provide coaching for your success
  • Professional Development with growth opportunities and a supportive learning environment
  • A friendly, inviting work culture filled with social activities that inspire creativity and collaboration
  • Retirement Benefits, featuring a 401(k) with a generous match plus a defined pension plan
  • Comprehensive benefits including Medical, Dental, and Vision coverage
  • Employee Activity Groups that foster a sense of belonging and teamwork
  • Tuition Reimbursement and School Loan Repayment plans for Full-Time employees
  • Gym Reimbursement and Employee Wellness time off to support your health and wellness
  • Flexible PTO options that include vacation payout and sick time incentive payouts
  • Discounts on Employee Loans to help you create financial success
  • Supplemental Benefits such as Pet Insurance, Legal plan, and AFLAC plans
  • A CEO with brilliant vision and aspiration
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