Data Analyst

Join an award-winning team! AutoPayPlus was named a 2026 Orlando Top Workplaces winner by Orlando Sentinel Media Group and has also been recognized by the Orlando Business Journal as one of the Best Places to Work.

Since 2003 AutoPayPlus has served more than 250000 members and processed over $5.65 billion in loan payments. Our mission is simple: help members budget better protect their credit and become debt-free faster.

Why Join AutoPayPlus

Established fintech company with more than 20 years of success

Collaborative team and work that helps departments make better decisions

Opportunities to work with Microsoft Fabric automation and AI-enabled analytics

100% company-paid health dental and vision insurance for employee coverage

About the Role

Were looking for a Data Analyst who enjoys solving business problems building useful dashboards and making sure the numbers are right. Youll partner with leaders across APP to understand their reporting needs investigate trends and explain your findings clearly.

Youll report to the Senior Director of Data Science & Artificial Intelligence and support our growing Microsoft data and AI environment.

This is a fully onsite role in Orlando Florida Monday through Friday. Candidates must reside in the Orlando area. Remote and hybrid work are not available.

What Youll Do

- Build and improve Power BI dashboards reports and data models.

- Write and optimize SQL queries to combine and analyze data from multiple sources.

- Turn business questions into clear KPIs reports and actionable insights.

Investigate trends and data discrepancies. Validate and reconcile results before sharing them.

- Document reporting logic KPI definitions business rules and data sources.

- Automate recurring reports and support Microsoft Fabric and related data technologies.

- Provide ad hoc analysis and executive reporting explaining findings to technical and nontechnical audiences.

- Support advanced analytics predictive modeling and AI initiatives while following data governance security privacy and responsible AI standards.

What Were Looking For

- Experience analyzing business data using SQL and building dashboards in Microsoft Power BI.

- Strong Excel skills including large datasets formulas PivotTables and data validation.

- Understanding of relational databases data structures and basic data modeling.

- Ability to troubleshoot data issues validate results and connect findings to business needs.

- Clear communication strong attention to detail and a commitment to accurate reporting.

- Ability to manage priorities work across departments take ownership of projects and learn new tools.

- Bachelors degree in Data Analytics Data Science Information Systems Computer Science Statistics Business Analytics Finance or a related quantitative field or equivalent relevant professional experience.

- Availability to work fully onsite in Orlando Monday through Friday.

Preferred Qualifications

- Microsoft Fabric experience including Lakehouse Warehouse or Dataflows.

- Experience with DAX Power Query Python or another analytical programming language.

- Experience with Power Automate generative AI or Microsoft Copilot.

- Familiarity with dashboard design data governance documentation lineage and data quality practices.

- Exposure to machine learning predictive analytics or statistical modeling.

- Experience in financial services automotive lending payments or another data-intensive environment.

Benefits and Perks

- 401(k) with employer matching

- 100% company-paid health dental and vision insurance for employee coverage

- Life insurance and short- and long-term disability

- Generous paid time off paid holidays and sick leave

- Casual dress code and a team-oriented work environment

- Daily snacks and weekly team breakfasts

- Company-sponsored events and an end-of-year celebration

Equal Opportunity Employer

AutoPayPlus is committed to a diverse and inclusive workplace. We evaluate qualified candidates based on demonstrated skills and experience relevant to the role.

Required Experience:

IC