Job Title: Data Analyst - Payments
Location: Hybrid (Denver Metro Area) – In-office at least 1 day per week (RiNo neighborhood)
Job Type: Full-Time
Pay range: $85K-$105K per year
UnionHub is a fast-growing SaaS company delivering cutting-edge insurance management solutions. We’re on a mission to simplify complex workflows and improve outcomes through intuitive, well-crafted technology. As a Data Analyst, you’ll play a critical role in shaping our data strategy, ensuring accuracy and accessibility, and empowering teams to make smarter decisions. You’ll work with stakeholders across the organization to design scalable reporting solutions, provide actionable insights, and help optimize performance.
Our Core Values
Simplicity | Security | Innovation | Accessibility | People-Centric Culture
Role Overview
We’re looking for a Data Analyst with strong technical skills in SQL and relational databases, and a solid background in data automation and data quality management, as well as payments/billing reconciliation. This role will design and maintain reliable data pipelines, ensure data cleanliness across multiple systems, and prepare structured and unstructured datasets for downstream analytics and Large Language Model (LLM) applications. You will also support accounting and billing workflows, including payments reconciliation and spreadsheet-based financial analyses.
Key Responsibilities & Technical Skills
- Payments/billing reconciliation
- Accounting and finance-related spreadsheet analysis
- Data quality monitoring and validation
- API integrations for data ingestion
- Data modeling and schema design
- Processing of unstructured data
Required Qualifications
- Strong proficiency in SQL and relational databases.
- Proficiency with Excel and spreadsheet-based data analysis.
- Experience with Payments/Billing Reconciliation
- Familiarity with C#/.NET frameworks.
- Experience with data visualization tools (Power BI, Tableau, Looker).
- Strong analytical and problem-solving skills with excellent attention to detail.
- Ability to work collaboratively in a fast-paced, cross-functional environment.
- Strong communication skills, with the ability to present insights to both technical and non-technical audiences.
- Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or related field; equivalent experience; or completion of a recognized analytics bootcamp.
Preferred Qualifications
- Experience in Insurance, Benefits, Payments, Banking, SaaS, or Fintech environments.
- Experience with APIs, large datasets, and cloud-based data warehousing (Azure Synapse, Snowflake, BigQuery).
- Experience working on an agile team.
- Background with Azure environments.
Bonus Skills
- ETL pipeline design, development, and maintenance
- Data automation and import/export workflows
- Python (Pandas) / R for data manipulation, analysis and automation
- LLM-focused data preparation
- Workflow orchestration (Airflow, Prefect)
Why Join Us?
- Be part of a collaborative, thoughtful, and curious team.
- Enjoy a hybrid work model with purposeful in-office days for connection and collaboration.
- Competitive salary, 401(k) match, and annual discretionary bonus eligibility (typically up to 10% of base salary; not guaranteed).
- Comprehensive benefits package including medical, dental, vision, life, and LTD coverage, employer-paid supplemental insurance, technology allowance, parental leave, and more.
- Room to grow within a scaling product organization.
Application Details
- All interested candidates must apply through this platform. The position is currently open and accepting new applications.
- Applications will be reviewed on a rolling basis, and the role will remain open until filled. Early submissions are highly encouraged.
