Data Quality Analyst

Brown & Brown, Inc.; Northern (KY); Hybrid; USD 80,000 - 95,000; Full time

Benefits offered by this job

Health Benefits

401k Matching

Paid Time Off

Job summary

Arrowhead Intermediaries is seeking a Data Quality Analyst to own data quality, integrity, and governance across reporting, analytics, and downstream ML applications. You’ll design validation rules and collaborate with engineering and BI to enforce data standards.

The role emphasizes first principles problem solving, root-cause tracing, and clear communication to technical and non-technical stakeholders in a remote, full-time setting.

Qualifications

• Experience with Python/R and SQL for data profiling, cleaning, and validation.
• Strong understanding of data quality concepts, validation rules, and controls.
• Ability to trace data issues from source to reporting and explainRoot causes clearly.
• Familiarity with visualization tools to present data quality findings to stakeholders.

Responsibilities

• Design and maintain validation rules, reconciliation processes, and quality checks.
• Investigate data integrity issues, tracing discrepancies to root causes.
• Build and maintain data pipelines and profiling workflows in Python/R and SQL.
• Collaborate with data engineering and BI to govern data entering analytics pipelines.

Skills

Python

R

SQL

Data validation

Root cause analysis

Tools

Matplotlib

ggplot

Power BI

Claude/GPT tooling

Job description

## Data Quality AnalystApply: Remote: Remote - USA: Full time: Posted 2 Days Ago: R26\\_0000003223Built on meritocracy, our unique company culture rewards self-starters and those who are committed to doing what is best for our customers.## About the RoleArrowhead Intermediaries is looking for a Data Quality Analyst to join our Data Strategy and Business Intelligence organization. This role sits at the intersection of statistical rigor and data governance: you'll own the quality, integrity, and reliability of the data that powers our reporting, analytics, and downstream machine learning applications. You'll work closely with the Director of Data Products to define what “good data” means for our systems, then build the validation logic, controls, and investigative processes to enforce it.This is a great fit for someone who thinks like an analyst but cares as much about *why the numbers are wrong* as *what the numbers say*, someone comfortable owning a data quality question end to end: framing it, tracing it to root cause, and communicating the fix to both technical and non-technical stakeholders. Difficult data quality problems rarely have an off-the-shelf fix. We need someone who can reason from first principles: questioning assumptions about how the data was generated, tracing a discrepancy back to its source system, and building a systematic validation approach.## What You'll Do* Design and maintain validation rules, reconciliation processes, and quality checks across systems of record* Investigate data integrity issues, tracing discrepancies between platforms and systems back to root cause* Build and maintain data pipelines and profiling workflows in Python/R and SQL to support cleaning, structuring, and validation of incoming data* Partner with data engineering and BI teams to define review and approval controls for data entering reporting and analytics pipelines* Apply statistical methods (descriptive and inferential) to detect anomalies, quantify data quality issues, and support root cause analysis* Evaluate the behavior and output of machine learning or scoring models against real-world outcomes, flagging drift or inconsistency* Translate data quality findings into clear, actionable reporting for non-technical decision-makers and leadership* Collaborate with stakeholders to define data quality metrics, standards, and reporting cadences across the Data Strategy and Business Intelligence organization## What We're Looking For* 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 an understanding of how model output is evaluated 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, comfortable tracing data discrepancy from symptom to source* A systems mindset: able to see how data flows across upstream sources, pipelines, and downstream consumers, and to spot where a fix in one place will surface problems in another* A first-principles approach to problem-solving: able to break an unfamiliar or ambiguous data quality issue down to its underlying causes rather than relying on standard playbooks* Comfortable working closely with engineering teams, whether that means partnering on pipeline changes, scoping a fix at its source, or translating a data quality issue into something an engineer can act on* Visualization and communication skills (Matplotlib, ggplot, and/or Power BI) to make findings accessible to non-technical audiences* Experience with AI tooling and LLM-based workflows (e.g., Claude, GPT) is importantA background in data science, analytics, or a related field, formal training or eq**Pay Range**$80,000.00 - $95,000.00 Annual*The pay range provided above is made in good faith and based on our lowest and highest annual salary or hourly rate paid for the role and takes into account years of experience required, geography, and/or budget for the role.***Teammate Benefits & Total Well-Being**We go beyond standard benefits, focusing on the total well-being of our teammates, including:* *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* *Beyond Benefits*: Paid Time Off, Holidays, Preferred Partner Discounts and more.*Not reflective of all benefits. Enrollment waiting periods or eligibility criteria may apply to certain benefits. Benefit details and offerings may vary for subsidiary entities or in specific geographic locations.*