Data Quality & Integrity Analyst

Socket.dev; United States; Remote; USD 80,000 - 95,000; Full time

Benefits offered by this job

Health benefits

401(k) plan

Paid time off

Dental and Vision

Job summary

Arrowhead Intermediaries is seeking a Data Quality Analyst to join the Data Strategy and BI team in the United States. You will own data quality, integrity, and reliability across reporting, analytics, and downstream ML applications, defining what good data means and building validation logic and controls.

You will work with engineering and BI to implement reviews, use Python/R and SQL for profiling, and communicate findings to both technical and non-technical stakeholders, applying statistical

Qualifications

• This role requires experience with Python/R and SQL for profiling, cleaning, and validation.
• Strong statistical analysis skills and ability to frame hypotheses and interpret uncertainty.
• Experience with data validation rules and multiple systems of record.
• Ability to communicate data quality findings to technical and non-technical audiences.

Responsibilities

• Design and maintain validation rules, reconciliation processes, and quality checks across systems of record.
• Investigate data integrity issues and trace discrepancies to root causes.
• Build data pipelines and profiling workflows to clean and validate incoming data using Python/R and SQL.
• Collaborate with data engineering and BI teams to define review controls for data entering reporting pipelines.
• Apply descriptive and inferential statistics to detect anomalies and support root-cause analysis.
• Evaluate model outputs for quality and flag drift or inconsistencies.
• Translate findings into clear reporting for non-technical decision-makers.

Skills

Python

R

SQL

Data profiling

Validation rules

Root-cause analysis

Data visualization

AI tooling

Education

Data science background

Tools

Matplotlib

ggplot

Power BI

Claude

GPT

Job description

Arrowhead Intermediaries is seeking a Data Quality Analyst to join the Data Strategy and BI team in the United States. You will own data quality, integrity, and reliability across reporting, analytics, and downstream ML applications, defining what good data means and building validation logic and controls.

You will work with engineering and BI to implement reviews, use Python/R and SQL for profiling, and communicate findings to both technical and non-technical stakeholders, applying statistical