Data Integrity Analyst
New
J
JobgetherData Analytics
Based in the United StatesFull-TimeMiddle
Salary65,000 - 75,000 USD per year
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Job Details
- Experience
- Minimum of 3 years
- Required Skills
- SQLData AnalysisCSSJavascriptSnowflakeTableauQuality Assurance
Requirements
- 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.
- Ability to communicate effectively with technical teams and collaborate on issue resolution.
- 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.
- Ability to work effectively in a remote, fast-paced environment with a proactive and ownership-driven mindset.
Responsibilities
- 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.
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