Data Analyst

AutoPayPlus • Orlando, FL

1d • Onsite

About The Position

AutoPayPlus is seeking a Data Analyst to solve business problems, build dashboards, ensure reporting accuracy, and help departments make informed decisions. The analyst will partner with leaders across the company to understand reporting needs, investigate trends, and communicate findings. The role reports to the Senior Director of Data Science & Artificial Intelligence and supports the company’s Microsoft data and AI environment.

This is a fully onsite position in Orlando, Florida, Monday through Friday. Candidates must reside in the Orlando area; remote and hybrid work are not available.

Requirements

• Experience analyzing business data using SQL and building dashboards in Microsoft Power BI.
• Strong Excel skills, including working with 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 commitment to accurate reporting.
• Ability to manage priorities, work across departments, take ownership of projects, and learn new tools.
• Bachelor’s 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, and reside in the Orlando area.

Nice To Haves

• 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.

Responsibilities

• Build and improve Power BI dashboards, reports, and data models.
• Write and optimize SQL queries to combine and analyze data from multiple sources.
• Translate business questions into KPIs, reports, and actionable insights.
• Investigate trends and data discrepancies, and 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time