Data Quality Analyst
Posted 3hrs ago
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Job Description
Data Quality Analyst ensuring reliable data for Arrowhead Intermediaries’ reporting, analytics, and machine-learning applications. Building validation controls, investigating root causes, and communicating quality findings.
Responsibilities:
- 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


















