Data Quality Analyst

Jobs via Dice; United States; Remote; USD 100,000 - 140,000; Full time

Job summary

A leading tech company seeks a Data Quality Analyst to enhance data initiatives and ensure high standards of data quality. This mid-senior level position involves collaborating with cross-functional teams, using SQL for data profiling, and managing data quality frameworks. Remote work is preferred, with responsibilities including developing DQ processes and driving improvements across the organization.

Qualifications

• Proven experience in Data Quality frameworks and profiling.
• Strong SQL skills; knowledge of Data Governance principles.
• Excellent verbal and written communication skills.

Responsibilities

• Review and improve existing Data Quality frameworks.
• Conduct data profiling and analyze findings.
• Collaborate to define Data Quality rules and ensure implementation.

Skills

Data Quality frameworks

SQL

Problem-solving

Project management

Cross-functional team leadership

Job description

1 day ago Be among the first 25 applicants

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Cloud Destinations LLC, is seeking the following. Apply via Dice today!

tion: Data Quality Analyst

Location: Remote, preferred by Oakland, CA Rancho Cordova, CA or Alpharetta, GA

Hiring Mode: 6+ Months Contract

Job Description:

We are seeking a highly experienced Data Quality (DQ) Specialist to lead and drive our organization s data quality initiatives end-to-end. The successful candidate will review existing Data Quality frameworks, perform detailed data profiling, collaborate with stakeholders to identify critical data elements and define DQ rules, and ensure seamless implementation in partnership with the Technology team. The role requires an independent, proactive leader with strong communication, problem-solving, and program management skills, capable of coordinating cross-functional teams to monitor, communicate, and resolve data issues effectively.

Key Responsibilities:

• Review the current Data Quality framework, evaluate its effectiveness, and provide actionable feedback for improvements.
• Conduct comprehensive data profiling using SQL or specialized tools, analyze results, and summarize key issues and recommended actions.
• Collaborate with business stakeholders to identify Critical Data Elements (CDEs) and define clear Data Quality rules aligned with organizational standards.
• Work closely with the Technology team to ensure Data Quality rules are properly implemented and automated within data systems.
• Establish a robust process for ongoing monitoring, issue detection, and issue resolution management, including communication channels for stakeholders.
• Drive data quality discussions and initiatives independently, fostering alignment and accountability across cross-functional teams.
• Develop and maintain documentation on DQ processes, issues, and resolutions; create dashboards and reports for ongoing oversight.
• Lead root-cause analysis and problem-solving efforts to address data quality issues, ensuring timely resolution and continuous improvement.
• Communicate findings, issues, and resolutions effectively through verbal presentations, detailed reports, and stakeholder meetings.
• Promote a product mindset, focusing on delivering high-quality, reliable data as a strategic organizational asset.
• Manage end-to-end DQ projects within program timelines, aligning activities with broader data governance and organizational objectives.
  
  

Qualifications:

• Proven experience in Data Quality frameworks, profiling, issue resolution, and monitoring.
• Strong SQL skills; experience with data profiling tools or platforms is a plus.
• Knowledge of Data Governance principles and best practices.
• Excellent problem-solving and root-cause analysis skills.
• Effective verbal, written, and presentation communication skills.
• Demonstrated ability to work independently and lead cross-functional discussions.
• Strong project management and program delivery experience, with a focus on data-centric initiatives.
• Familiarity with data systems, architectures, and tools used within large enterprise environments.
  
  

Preferred:

• Experience in the healthcare, finance, or data-intensive sectors.
• Familiarity with data product management or end-to-end data delivery frameworks.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Software Development

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