Data Quality Analyst

001 Brown & Brown, Inc; United States; Remote; USD 80,000 - 95,000; Full time

Benefits offered by this job

Health Benefits

401k and ESPP

Student Loan Assistance

Tuition Reimbursement

Mental Health Services

Paid Time Off

Holidays and Discounts

Job summary

Arrowhead Intermediaries is seeking a Data Quality Analyst to join its Data Strategy and Business Intelligence team in the United States. You will own data quality, integrity, and reliability across reporting and analytics, building validation logic and controls, and partnering with data engineering to enforce standards.

You will apply descriptive and inferential statistics, trace root causes, and communicate findings to technical and non-technical stakeholders, while ensuring systems-wide data

Qualifications

• 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: see how data flows across upstream sources, pipelines, and downstream consumers.
• A first-principles approach to problem-solving: break issues down to underlying causes.
• Comfortable working with engineering teams and translating data quality issues for engineers.
• Visualization and communication skills (Matplotlib, ggplot, and/or Power BI) to non-technical audiences.
• Experience with AI tooling and LLM-based workflows (e.g., Claude, GPT) is important.
• A background in data science, analytics, or related field, formal training or eq

Responsibilities

• Design and maintain validation rules, reconciliation processes, and quality checks across systems of record
• Investigate data integrity issues, tracing discrepancies between platforms 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 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 BI organization

Skills

Python

R

SQL

Statistics

Data validation

Root-cause analysis

Data governance

Matplotlib

ggplot

Power BI

ML concepts

LLM tools (Claude/GPT)

Education

Background in data science/analytics

Degree in a related field

Job description

Built on meritocracy, our unique company culture rewards self-starters and those who are committed to doing what is best for our customers.

About the Role Arrowhead 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 important
• A background in data science, analytics, or a related field, formal training or eq

Pay Range

Pay Range $80,000.00 - $95,000.00 Annual

Teammate Benefits & Total Well-Being

• 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.

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.

The Power To Be Yourself

As an Equal Opportunity Employer, we are committed to fostering an inclusive environment comprised of people from all backgrounds, with a variety of experiences and perspectives, guided by our Diversity, Inclusion & Belonging (DIB) motto, “The Power to Be Yourself”. We think of ourselves as a team, so we have teammates - not employees. We strive to attract people who are competitive, driven, and disciplined. Built on meritocracy, our unique company culture rewards self-starters and those who are committed to doing what is best for our customers. Founded in 1939 as a small, two-partner firm, Brown & Brown (NYSE: BRO) and our team of companies have grown into one of the world’s largest insurance brokerages while staying true to our foundation of trust, resilience, and delivering results. With a team that is as connected locally as it is globally, our high-performing, highly collaborative team delivers innovative risk and insurance solutions. We look for individuals who embrace our culture, thrive in a collaborative environment, are driven to grow and succeed, and are committed to always doing what is right. With a unique culture built on integrity, superior capabilities and grit, we value teamwork, trust and courage. We think of ourselves as a team, so we have teammates—not employees, and leaders—not managers. Everything we do is about the greater “WE”—never “me.”While diverse in abilities and experience, we are all connected through our core values, a commitment to our local communities and a shared mission—always doing what is best for our customers.