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Lead Data Quality Analyst Jobs (NOW HIRING)

The Senior Data Analyst is tasked with establishing analytical and reporting functions, as well as monitoring performance and quality assurance processes to pinpoint areas for improvement. Major ...

The Senior Data Analyst is tasked with establishing analytical and reporting functions, as well as monitoring performance and quality assurance processes to pinpoint areas for improvement. Major ...

$128K - $173K/yr

Data Quality Analyst - Remote Job USA A premium remote job USA opportunity for a Data Quality Analyst -- one of today's most in-demand work from home roles in enterprise data governance. Fully remote ...

Position Summary The Sr. IT QA Data Quality Analyst plays an important role in the organization by leading quality assurance activities for Enterprise Data Warehouse (EDW), Data Services, and related ...

Establish KPIs and dashboards to measure data quality and governance effectiveness. * Mentor and lead a team of data analysts, data stewards, or data management professionals. * Drive continuous ...

Data Quality Lead or Manager - owning data quality frameworks, metrics, and improvement programs. * Analytics or Data Management Roles - expanding into broader analytics, data governance, or ...

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Lead Data Quality Analyst information

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How much do lead data quality analyst jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for lead data quality analyst in the United States is $55.11, according to ZipRecruiter salary data. Most workers in this role earn between $43.03 and $62.98 per hour, depending on experience, location, and employer.

What does a Lead Data Quality Analyst do?

A Lead Data Quality Analyst oversees the processes that ensure data is accurate, consistent, and reliable across an organization. They develop and implement data quality standards, monitor data integrity, and lead a team of analysts in identifying and resolving data issues. Additionally, they collaborate with stakeholders to define data quality metrics and support data governance initiatives. Their work is essential for enabling accurate business insights and decision-making.

What are the key skills and qualifications needed to thrive as a Lead Data Quality Analyst?

To thrive as a Lead Data Quality Analyst, you need a strong background in data management, statistical analysis, and a relevant degree in computer science, information systems, or a related field. Experience with data quality tools (such as Informatica, Talend, or IBM InfoSphere), SQL, and sometimes certifications like CDMP are typically required. Exceptional analytical thinking, attention to detail, and strong leadership and communication skills help in managing teams and collaborating with stakeholders. These skills and qualifications are essential to ensure the integrity, accuracy, and consistency of data, which underpin effective decision-making and operational efficiency.

How does a Lead Data Quality Analyst typically collaborate with other departments to ensure data integrity?

A Lead Data Quality Analyst regularly works with teams such as IT, business intelligence, and operations to identify data quality issues and implement solutions. They often facilitate cross-functional meetings to align data standards and work closely with data owners to resolve discrepancies. Strong communication and project management skills are essential, as the role requires translating complex data findings into actionable insights for non-technical stakeholders. Effective collaboration helps ensure that data-driven decisions are based on accurate and reliable information across the organization.
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Infographic showing various Lead Data Quality Analyst job openings in the United States as of September 2026, with employment types broken down into 2% As Needed, 80% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution, with an average salary of $114,625 per year, or $55.1 per hour.

Senior Data Quality Analyst

Indianapolis, IN โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 27 days ago


Key responsibilities

  • Ensure that data analysis and reporting is accurate, consistent, and reliable throughout its lifecycle.

  • Cleanse data, scrutinize reports, and identify and rectify coding errors.

  • Create and maintain processes to generate accurate and timely reports for stakeholders.


Job description

ABOUT ORGANOX:
OrganOx is a commercial stage organ technology company dedicated to developing technologies to improve outcomes for patients with acute or chronic organ failure. The company was established as a spin out of the University of Oxford in 2008 and is now part of the Terumo Group. OrganOx is a pioneer in normothermic machine perfusion (NMP). It's flagship platform, the metraยฎ, is available for use in the U.S., Europe, Canada, and Australia. It has been utilized in over 7,000 liver transplants to date to keep donor livers in a metabolically active state outside the body enabling longer preservation times and functional assessment of the organ prior to transplant, leading to an increased number of organs available for transplant. Founded in 1921, Terumo Corporation (TSE:4543) strives to fulfil its mission of "Contributing to Society through Healthcare" by providing a comprehensive range of solutions in the fields of therapeutic procedures, hospital operations, and life sciences in more than 160 countries and regions.
Position Summary
The Senior Data Analyst is responsible to deliver insightful metrics, reports, and dashboards to support our business. The role requires collaboration with other analysts, data engineers, data product managers, and business stakeholders. The ideal candidate will be an organized, detail-oriented collaborator with strong communication.
Listed below are the major responsibilities of the role and a brief description of some of the key tasks to be performed. This list is not totally exhaustive.
This is an on-site position in Madison, NJ. The position is responsible for overseeing our complaint and servicing data systems and reporting frameworks, ensuring the integrity and precision of data. The ideal candidate will transform raw data into structured information, which will then be analyzed to glean insights that drive strategic business decisions. The Senior Data Analyst is tasked with establishing analytical and reporting functions, as well as monitoring performance and quality assurance processes to pinpoint areas for improvement.
Major Responsibilities
Under direction from the Director, Complaints Management, the Senior Data Analyst will be responsible for the following tasks:
  • Ensure that data analysis and reporting is accurate, consistent, and reliable throughout its lifecycle, which is critical for making valid and trustworthy decisions
  • Cleanse data and scrutinize computer-generated reports and outputs to identify and rectify coding errors
  • Gather data from various sources, including databases, APIs, and third-party sources and ensure the upkeep of databases and data systems
  • Create and maintain processes to generate accurate and timely reports that help stakeholders understand and act on key data insights
  • Identify opportunities for process improvements
  • Engage with managers to specify data requirements for analysis projects tailored to their unique business processes
  • Design scripts and tools to automatically extract large volumes of data from websites or other digital sources, improving efficiency and availability
  • Detect, examine, and decode trends or patterns within intricate datasets
  • Employ statistical techniques to scrutinize data and produce actionable business insights
  • Develop data dashboards, charts, and visual aids to support decision-making across departments
  • Conduct in-depth data analysis using advanced statistical methods and tools to uncover patterns, correlations, and insights
  • Manage and update databases to ensure they are secure, accessible, and functioning properly
  • Coordinate with management to align business and informational priorities
  • Adhere to the letter and spirit of OrganOx's Code of Conduct and all other company policies

Requirements
Skills & Experience
  • Possess a solid foundation in statistics and practical experience with statistical software (such as Excel and Power BI) and mastery in data analysis languages including SQL, Python, and R
  • Proficient at create presentations and data visualizations within PowerPoint
  • Exhibit exceptional analytical abilities to compile, structure, examine, and present substantial data sets with precision and thoroughness.
  • Capable of critically evaluating data to derive meaningful, actionable insights
  • Demonstrate superior communication and presentation capabilities, adept at simplifying complex data insights for audiences without a technical background
  • Experience in medical device or pharmaceutical industries preferred
  • Ability to work independently

Qualifications
  • Bachelor's Degree in an analytical/research field (Math, Physics, Engineering, Computer Science, Statistics, etc.) and 5+ years of experience in data analytics, or equivalent combination. Advanced degree preferred.
  • Minimum of two years of experience in a senior analytical role
  • Ability to travel 10%
  • Quality Management System process knowledge preferred
  • Expertise with Databricks preferred

A job description does not imply that the duties stated are the only ones to be performed by the job holder. Job holder will be required to follow any other job-related instruction as reasonably requested by their line manager or their designate.
Benefits
We offer competitive compensation and comprehensive benefits available from day one, including health, dental, vision, disability coverage, and flexible spending accounts. Additionally, we offer a 401(k)-retirement plan with company matching after 90 days, paid time off, holidays, and additional leave benefits, as well as employee discounts and access to our onsite wellness facility. OrganOx supports work-life balance and provides opportunities for ongoing professional development.