This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Integrity Analyst based in the United States.
This remote role is designed for a detail-oriented data professional who enjoys solving complex problems and improving systems.
You will help maintain the accuracy, reliability, and performance of data-driven software solutions.
The position combines technical analysis, process improvement, and cross-functional collaboration.
You will work closely with engineering and internal teams to investigate issues and deliver effective solutions.
This opportunity offers meaningful ownership in improving data quality and platform stability.
You will contribute to a fast-moving environment where curiosity, autonomy, and continuous improvement are highly valued.
Accountabilities:
The Data Integrity Analyst plays a key role in maintaining high-quality data operations by identifying issues, improving processes, and supporting platform reliability. This role requires strong analytical thinking, technical curiosity, and the ability to collaborate across teams to ensure data accuracy and operational excellence.
- Perform routine maintenance, ad hoc investigations, and data quality improvement initiatives to support platform health.
- Identify, troubleshoot, and resolve client configuration issues and data integrity challenges.
- Analyze large datasets using tools such as SQL, Snowflake, Tableau, and internal systems to uncover trends and inconsistencies.
- Act as a subject matter resource for configuration-related questions and provide support to internal stakeholders.
- Partner with engineering teams to communicate technical findings, provide detailed feedback, and assist with debugging efforts.
- Maintain and improve core product integrations, reports, and operational processes.
- Research technical issues through documentation, knowledge bases, internal resources, and historical records.
- Identify opportunities to improve products, workflows, and data delivery processes through proactive analysis.
- Develop a strong understanding of backend systems and expected product behaviors to ensure ongoing quality.
Requirements:
The ideal candidate is an analytical problem solver with experience working with data, technical systems, and cross-functional teams. They should be comfortable investigating complex issues, communicating clearly with technical stakeholders, and continuously learning new tools and processes.
- Minimum of 3 years of professional experience solving problems involving large datasets or complex operational processes.
- Experience working with data analysis, quality assurance, technical operations, or similar analytical functions.
- Familiarity with SQL, CSS, JavaScript, or other programming concepts is a plus.
- Ability to communicate effectively with technical teams and collaborate on issue resolution without requiring a software engineering background.
- Strong analytical skills with the ability to identify root causes, detect inconsistencies, and develop practical solutions.
- Excellent attention to detail and a commitment to accuracy and data quality.
- Comfortable working with large volumes of data and learning complex technical systems.
- Strong organizational skills with the ability to manage multiple priorities independently.
- Experience collaborating with software engineering or technical teams is preferred.
- Ability to work effectively in a remote, fast-paced environment with a proactive and ownership-driven mindset.
Benefits:
- Competitive annual salary range of $65,000–$75,000.
- Remote work environment with eligibility across multiple U.S. states.
- Health benefits for eligible full-time employees.
- 401(k) matching program.
- Internet or mobile phone subsidy.
- Generous paid time off and company holidays.
- Additional paid days to celebrate personal heritage, culture, or traditions.
- Half-day Summer Fridays.
- Opportunities for career growth, learning, autonomy, and ownership.
- Collaborative team culture focused on inclusion, continuous improvement, and employee development.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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