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Data Analyst (Finance)

Mission Underwriting Managers

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ground up, our purpose-driven technology simplifies workflows, enhances responsiveness, and eliminates the burden of outdated legacy systems.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).