Data Analyst (Finance)
Mission Underwriting Managers
- Remote · United States
- Remote
- Mid Level
- 4+ years
- Bachelor's degree
- Posted
Skills
Required
- data analysis
- financial reporting
- accounting analytics
- business intelligence
- premium and commission transactions
- taxes
- reconciliations
- SQL
- complex joins and
- aggregations
- financial reconciliations
- data validation
Preferred
- planning / management reporting / process automation
- enterprise data warehouses / relational or dimensional data models / data pipeline development
- Databricks
- PySpark
- Python
- Azure
- data engineering
- Power BI
- ERP / general ledger / premium accounting / policy administration / billing systems
About Mission Underwriting Managers
- At Mission Underwriters, we provide the capital, issuing paper, and reinsurance access you need to launch your own Program Administrator (PA) business quickly and efficiently.
- We offer non-recourse capital for qualified underwriters, giving you a manageable risk profile with potential equity upside.
- By taking care of administrative complexities like compliance, risk management, accounting, and HR, we free you to focus on what you do best underwriting and distribution.
- Our turnkey platform gets you into the market in just a few months, minimizing disruption to your key relationships.
- With access to our network of highly rated issuing carriers and reinsurance partners, you can secure coverage with less stress and uncertainty.
- Built from the ground up, our purpose-driven technology simplifies workflows, enhances responsiveness, and eliminates the burden of outdated legacy systems.
Responsibilities
- Assume day-to-day responsibility for running, monitoring, and troubleshooting the existing daily finance ETL accounting process while it remains in use, producing policy transactions and monetary amounts across premium, taxes, and fees.
- Compare financial data produced by the EDW with the current finance ETL outputs; reconcile results at the appropriate policy, transaction, coverage, or other business grain.
- Investigate variances and pinpoint root causes such as missing or duplicated transactions, timing differences, incorrect signs, mappings, joins, effective dates, transformation logic, or source-data defects.
- Use significant SQL to query, validate, and transform policy, premium, commission, payment, tax, fee, and related financial data; develop reusable queries and process components.
- Establish, document, and maintain automated validation rules, reconciliation checks, reasonableness tests, and exception reporting for financial data delivered from the EDW.
- Provide Finance with accurate and timely recurring data, reports, reconciliations, and supporting schedules for accounting, reporting, close, and operational needs.
- Work closely with Finance as the primary business stakeholder to define financial metrics, transaction treatments, data definitions, accounting assumptions, and acceptance criteria for EDW outputs.
- Partner with data engineers to trace source-to-target logic, recommend field-level changes, validate fixes, and support reliable production processes.
- Build a strong working knowledge of the EDW data model, including the insurance policy lifecycle, transaction data, source systems, data layers, grains, and relationships needed for financial reporting.
- Help define how paid data is sourced, ingested, modeled, validated, and made available in the EDW, including required history, timing, grain, and financial attributes.
- Support portfolio / program health check reporting through data preparation, KPI reporting, and process improvements.
- Perform ad hoc analyses for Finance; quantify business impacts, explain trends, and translate findings into clear takeaways.
- Create process flows, SQL documentation, data dictionaries, reconciliation procedures, and issue logs to promote repeatability and shared understanding.
Requirements
- 4+ years of experience in finance data analysis, financial reporting, accounting analytics, business intelligence, or related analytical roles.
- 2+ years of experience working with commercial or specialty insurance, including policy, premium, commission, paid, tax, fee, or other transaction data.
- Working knowledge of insurance concepts, including premium and commission transactions, taxes, fees, and reconciliations.
- Strong SQL skills, including complex joins and aggregations, financial reconciliations, data validation, and development of reusable queries or processes.
- Experience comparing data across systems or ETL processes and diagnosing the root causes of discrepancies.
- Experience building or maintaining recurring reports, validation checks, or financial data controls using SQL, Excel, BI, or similar tools.
- Strong critical thinking, attention to detail, communication, and documentation skills, with the ability to explain technical issues and financial results to Finance and Data stakeholders.
- Familiarity with insurance financial data domains, including policy transactions, premium, commission, paid data, taxes, fees, reconciliations, and downstream accounting or reporting.
- Ability to evaluate financial results using business context, recognize unexpected patterns, distinguish expected timing or business differences from data defects, and assess materiality.
- Strong relational database and data warehousing knowledge; able to use SQL effectively across normalized and denormalized schemas and multiple data grains.
- Skilled in reconciliation, variance analysis, root cause analysis, and the design of validation checks, reasonableness tests, and exception reporting.
- Proficiency in Excel to prepare recurring Finance reporting and support one-off analysis.
- Comfortable collaborating with data engineers and business users to trace data flows, clarify assumptions, troubleshoot processes, and drive issues to resolution.
- Able to document queries, financial definitions, accounting assumptions, reconciliation logic, process flows, and data-quality decisions for shared understanding.
- Detail-oriented, organized, and dependable when working with daily processes, recurring financial deliverables, and sensitive monetary data.
- You must live in the United States and be authorized to work in the United States without requirement of employment sponsorship/visa.
Preferred
- Experience supporting financial processes, planning, management reporting, or process automation.
- Experience with enterprise data warehouses, relational or dimensional data models, or data pipeline development.
- Familiarity with Databricks, PySpark, Python, Azure, or similar data engineering and development tools.
- Experience with Power BI or other BI tools, and with ERP, general ledger, premium accounting, policy administration, or billing systems.
- Bachelor's degree in finance, accounting, economics, data analytics, information systems, or a related field, or equivalent experience; ability to travel up to 5% of the year.
Benefits
- Remote First Work Environment (US Based)
- Medical, Dental, Vision
- 401K, 401K Match
- Life and Disability Benefits
- Unaccrued Paid Time Off
- 11 Paid Holidays
- Employee Discounts
- Employee Assistance Program
- Educational Assistance Program
- Employee Referral Program
- Paid Parental Leave
Working Conditions
- Requires a quiet work environment with regular sitting at a computer for extended periods of time.
- Occasional walking and standing, and lifting of up to 10 lbs.
- Regular use of hands and fingers.
- Frequent talking or hearing.
Vision requirements
Close, distance, color, peripheral, focus and depth perception.
Additional Information
- This is a remote position.
- Planned, in-office activities may be required on occasion (typically 2-4x per year).
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