Data Quality Analyst

Job not on LinkedIn

🕒 September 19

🇺🇸 United States – Remote

💵 $80k - $95k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧐 Analyst

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Brown & Brown Insurance

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1939

💸 Finance

🛡️ Insurance

Finance • Insurance

Brown & Brown Insurance is one of the largest independent insurance brokerages globally, providing a comprehensive range of risk management solutions. Established in 1939, the company offers personal and business insurance, employee benefits, and various national programs. Brown & Brown is committed to diversity, inclusion, and belonging, fostering a culture that values talent and experience. With over 500 locations, the company is well-positioned to meet the diverse needs of its clientele and is listed on the New York Stock Exchange under the ticker BRO. The firm's strategic focus on mergers and acquisitions highlights its disciplined growth strategy.

📋 Description

• Design and maintain validation rules, reconciliation processes, and quality checks across systems of record • Investigate data integrity issues and trace discrepancies between platforms and systems back to root cause • Build and maintain data pipelines and profiling workflows in Python/R and SQL for cleaning, structuring, and validating incoming data • Partner with data engineering and BI teams to define review and approval controls for data entering reporting and analytics pipelines • Apply descriptive and inferential statistical methods to detect anomalies, quantify data quality issues, and support root-cause analysis • Evaluate machine learning or scoring model behavior and output against real-world outcomes, flagging drift or inconsistency • Translate data quality findings into actionable reporting for non-technical decision-makers and leadership • Collaborate with stakeholders to define data quality metrics, standards, and reporting cadences

🎯 Requirements

• Experience with Python/R and SQL for data profiling, cleaning, and validation • Familiarity with statistical analysis: hypothesis framing, exploratory data analysis, interpretation of uncertainty • Exposure to machine learning concepts and understanding of model output evaluation for quality and consistency • Demonstrated experience designing data validation rules, reconciliation processes, or quality controls across multiple systems of record • Strong root-cause investigation skills • Systems mindset across upstream sources, pipelines, and downstream consumers • First-principles approach to problem-solving • Comfortable working closely with engineering teams • Visualization and communication skills using Matplotlib, ggplot, and/or Power BI • Experience with AI tooling and LLM-based workflows, such as Claude and GPT • Background in data science, analytics, or a related field; formal training or equivalent experience

🏖️ Benefits

• Health Benefits: Medical/Rx, Dental, Vision, Life Insurance, Disability Insurance • Financial Benefits: ESPP; 401k; Student Loan Assistance; Tuition Reimbursement • Mental Health & Wellness: Free Mental Health & Enhanced Advocacy Services • Paid Time Off • Holidays • Preferred Partner Discounts