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Brown & Brown Insurance
Brown & Brown Insurance
FinanceInsurance
Brown & Brown Insurance is an independent insurance brokerage and risk management company serving individuals and businesses. Founded in 1939, it provides personal and commercial insurance, employee benefits, and national insurance programs through a network of more than 500 locations. With a workforce of more than 10,000 employees, the company operates across the finance and insurance sectors and emphasizes diversity, inclusion, and belonging in its workplace culture. Brown & Brown Insurance is publicly traded on the New York Stock Exchange under the ticker BRO and has expanded through a disciplined mergers and acquisitions strategy.
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Data Quality Analyst - Remote United States

Improve the reliability of data used for reporting, analytics, and machine-learning applications. This role develops validation controls, investigates root causes, and communicates data quality insights.

USUnited States
$80,000 – $95,000 / year
RemoteFull-timeMiddleSeniorEnglish RequiredAnalyst
PythonSQL

Description

  • Create and manage validation rules, reconciliation procedures, and quality checks across systems of record
  • Analyze data integrity problems and trace cross-platform discrepancies to their underlying causes
  • Develop and support Python/R and SQL pipelines and profiling workflows to clean, structure, and validate incoming data
  • Work with data engineering and business intelligence teams to establish review and approval controls for reporting and analytics data
  • Use descriptive and inferential statistics to identify anomalies, measure quality problems, and inform root-cause investigations
  • Assess machine-learning and scoring-model behavior against real-world results, identifying drift or inconsistencies
  • Turn data quality analysis into clear, actionable reports for leaders and non-technical stakeholders
  • Work with stakeholders to establish quality metrics, standards, and reporting schedules

Requirements

  • Practical experience using Python/R and SQL for data profiling, cleansing, and validation
  • Working knowledge of statistical analysis, including hypothesis development, exploratory analysis, and uncertainty interpretation
  • Understanding of machine-learning principles and evaluating model outputs for quality and consistency
  • Experience creating data validation rules, reconciliation procedures, or quality controls across multiple systems of record
  • Strong ability to investigate issues and identify root causes
  • Ability to understand relationships among source systems, data pipelines, and downstream users
  • A methodical, first-principles approach to solving problems
  • Ability to collaborate effectively with engineering teams
  • Experience presenting data through Matplotlib, ggplot, and/or Power BI
  • Experience using AI tools and LLM-based workflows, including Claude and GPT
  • Education or equivalent experience in data science, analytics, or a related discipline

Benefits

  • Medical and prescription, dental, vision, life, and disability insurance
  • Employee stock purchase plan, 401(k), student loan assistance, and tuition reimbursement
  • Free mental health and enhanced advocacy services
  • Paid time off
  • Company holidays
  • Discounts from preferred partners

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