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Quality Improvement Data Analyst Jobs (NOW HIRING)

Aviagen

Continuous Improvement Data Analyst

Athens, AL · On-site

The role involves creating data analysis tools, interpreting data, and providing visibility of KPIs to internal business units. Responsibilities : • Provide support by creating data analysis tools ...

TQL

Process Improvement Data Analyst II

Cincinnati, OH · On-site

$63K - $78K/yr

We are seeking a highly skilled Data Analyst focused on Process Improvement to join our team. The ideal candidate will leverage data, automation, and structured problem-solving to identify and ...

Socket.dev

$65 - $95/hr

This position is In-Office only and Per Diem (3-6 months) Quality Improvement- Data Analyst: Develops and maintains complex data analytical tools and assists with secondary technical support. Must ...

PROMESA R.H.C.F.

Quality Improvement Analyst

Bronx, NY · On-site

$32.96/hr

Gather and analyze data from the ANH programs * Will run daily, weekly, monthly, and quarterly ... Quality Improvement Committee, Incident Report Committee and the Special Incident Committee.

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

As of Aug 26, 2026, the average hourly pay for quality improvement data analyst in the United States is $41.44, according to ZipRecruiter salary data. Most workers in this role earn between $27.88 and $54.33 per hour, depending on experience, location, and employer.

What is a quality improvement data analyst?

A Quality Improvement Data Analyst is a professional who collects, analyzes, and interprets data to help organizations enhance the quality of their services or products. They work closely with teams to identify areas for improvement, develop data-driven strategies, and track progress over time. Their work is essential in healthcare, manufacturing, and other industries focused on continuous improvement and compliance with standards. By translating complex data into actionable insights, they support decision-making and help organizations achieve better outcomes.

How does a quality improvement data analyst typically collaborate with clinical and operational teams to drive improvements?

Quality Improvement Data Analysts frequently work alongside clinical staff, administrators, and quality improvement teams to identify key metrics, interpret data trends, and develop actionable insights. They often participate in multidisciplinary meetings, presenting findings and offering data-driven recommendations to enhance patient care and operational efficiency. Effective communication skills are essential, as analysts must translate complex data into practical strategies that support team goals. Regular collaboration ensures that data initiatives align with frontline needs and regulatory requirements, fostering a culture of continuous improvement.

What are the key skills and qualifications needed to thrive as a quality improvement data analyst, and why are they important?

To thrive as a Quality Improvement Data Analyst, you need strong analytical skills, experience with data collection and statistical analysis, and typically a bachelor’s degree in a relevant field such as statistics, public health, or healthcare administration. Proficiency with data analysis tools like SQL, Excel, and statistical software (e.g., SAS, R, or SPSS) is essential, and certifications like Six Sigma or Lean can be advantageous. Attention to detail, problem-solving ability, and effective communication are important soft skills for interpreting data and collaborating with stakeholders. These skills ensure accurate data-driven insights that drive meaningful improvements in organizational processes and outcomes.

What is the difference between Quality Improvement Data Analyst vs Data Analyst?

AspectQuality Improvement Data AnalystData Analyst
Required CredentialsBachelor's in healthcare, statistics, or related field; certifications like CQI or Six Sigma beneficialBachelor's in data science, statistics, or related field; certifications like CAP or Microsoft Certified Data Analyst helpful
Work EnvironmentHealthcare settings, hospitals, clinics, quality improvement teamsVarious industries including finance, marketing, healthcare, technology
Employer & Industry UsagePrimarily healthcare organizations focusing on quality metricsBroad industry application across sectors requiring data analysis

The main difference is that a Quality Improvement Data Analyst specializes in analyzing healthcare quality data to improve patient outcomes, while a Data Analyst works across multiple industries analyzing diverse data sets. Both roles require strong analytical skills and familiarity with data tools, but their focus areas and industry contexts differ.

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Quality Improvement Data Analyst jobs near you
Infographic showing various Quality Improvement Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $86,188 per year, or $41.4 per hour.

Continuous Improvement Data Analyst

Apidel Technologies

Houston, TX

Full-time

Re-posted 10 days ago

Job description

Description:
Job Title: Continuous Improvement Data Analyst
Key Responsibilities
Partner with business stakeholders to scope initiatives, gather requirements, and define actionable data solutions.
Lead and support projects across the full lifecycle, including planning, prioritization, execution, and delivery.
Assess and improve data quality by identifying gaps, validating sources, and implementing controls to ensure accuracy and reliability.
Develop and optimize data pipelines, queries, and workflows to improve efficiency and accessibility.
Create impactful reporting and analytical solutions that support decision-making and continuous improvement efforts.
Integrate data from diverse sources while aligning with enterprise data architecture and standards.
Identify opportunities for automation and process optimization using Power Platform and related technologies.
Maintain clear documentation of data processes, business logic, and solution design to ensure scalability and sustainability.
Collaboration and Communication
Partner with cross-functional teams on initiatives with varying levels of complexity and automation.
Translate technical concepts and data insights into clear, actionable information for diverse business audiences.
Respond to data inquiries and support stakeholders in data-driven decision-making.
Work independently and collaboratively while aligning with organizational strategy and continuous improvement goals.
Essential Skills, Qualifications, and Experience
Intermediate to advanced expertise in data analysis, data modeling, and data management.
Strong knowledge of ETL processes and experience with relational databases.
Proficiency in SQL or other data/query languages.
Advanced Power BI experience, with a strong working knowledge of the Microsoft Power Platform (Power Apps, Power Automate).
Strong problem-solving skills with attention to detail and data accuracy.
Creative mindset with a commitment to high standards for formatting, design, and usability in reporting solutions.
Ability to design scalable data solutions and document processes effectively.
Bachelors degree in Business, Computer Science, Information Technology, Data Analytics, Engineering, or a related field.
Minimum 57 years of experience in a data analysis role, with a focus on process improvement, automation, and/or KPI reporting.
Preferred Qualifications
Experience developing custom Power Apps and Power Automate workflows.
Familiarity with enterprise data lake strategies and modern data platform solutions.
Experience with ETRM systems (e.g., Endur).
Knowledge of commercial LNG operations or energy trading environments.
Backfill. Located in Downtown Houston office.
Quick turnaround as manager is going on maternity leave in a couple months and needs this person onboarded and fully trained.
Duration: 12-18 months.
but bill rates will be reviewed and aligned by the hiring manager based on each candidates skills, experience, and overall fit for the role.

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About Apidel Technologies

Sourced by ZipRecruiter

We understand that attracting, qualifying, placing, and retaining the best candidates for our clients requires exceptional talent. That’s why our highly skilled and dedicated recruitment team works tirelessly to develop lifelong associations with all candidates and clients. We prioritize helping our employees achieve their career goals while providing effective staffing solutions to our clients and candidates. At Apidel, we believe in simple yet established core values that are ingrained within each member of our team. These values are time and again illustrated in our approach to employees, candidates, and clients. Our unwavering belief that our core values of integrity, client satisfaction, innovation, and intellect distinguish us from our competitors is what drives us forward. We remain focused on improving and sustaining a measurable client satisfaction program that has created an organizational culture where our associates provide world-class service every day.

Industry

Recruiting and staffing services

Company size

501 - 1,000 Employees

Headquarters location

Plainfield, IL, US

Year founded

2012

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