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Process Improvement Data Analyst Jobs in Laredo, TX

Self-motivated with strong propensity for action, results, and continuous improvement * The ability ... Exceptional organizational skills with the ability to multi-task and manage multiple processes ...

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Self-motivated with strong propensity for action, results, and continuous improvement * The ability ... Exceptional organizational skills with the ability to multi-task and manage multiple processes ...

New

... improvement, document control, and processes or methodologies such as 5S, Lean, ISO, or root cause analysis. Ability to interpret operational and financial data for decision-making. Experience ...

You will be responsible for collecting and analyzing a variety of intelligence data, and processing, tracking and inputting warrants into the National Crime Information Center (NCIC) database. Duty ...

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Process Improvement Data Analyst information

See Laredo, TX salary details

$42.6K

$70.7K

$88.2K

How much do process improvement data analyst jobs pay per year?

As of Aug 30, 2026, the average yearly pay for process improvement data analyst in Laredo, TX is $70,700.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,800.00 and $78,100.00 per year, depending on experience, location, and employer.

What does a process improvement data analyst do?

A Process Improvement Data Analyst is responsible for analyzing business processes, identifying areas for improvement, and using data-driven methods to recommend solutions. They collect and examine data related to workflows, efficiency, and productivity, then use statistical tools to identify bottlenecks or inefficiencies. By collaborating with different teams, they help implement changes that streamline operations, reduce costs, and improve overall performance. Their work often supports continuous improvement initiatives within an organization.

What are the key skills and qualifications needed to thrive as a process improvement data analyst?

To thrive as a Process Improvement Data Analyst, you need strong analytical skills, a solid understanding of process mapping, and proficiency in statistics, usually supported by a degree in business, engineering, or a related field. Familiarity with data analysis tools like SQL, Excel, Tableau, and process improvement methodologies such as Lean Six Sigma certification is highly beneficial. Exceptional problem-solving, communication, and collaboration skills help you present findings and drive change across teams. These skills ensure you can identify inefficiencies, support data-driven decisions, and effectively implement improvements that add value to the organization.

How does a process improvement data analyst typically collaborate with cross-functional teams to drive efficiency?

A Process Improvement Data Analyst works closely with stakeholders from various departments, such as operations, IT, and management, to identify inefficiencies and recommend data-driven solutions. Collaboration often involves facilitating workshops, leading discussions to map current processes, and sharing analytical findings to ensure everyone understands the root causes of bottlenecks. Regular meetings and clear communication are essential, as analysts must balance technical insights with practical suggestions that teams can implement. This collaborative approach not only helps in building consensus but also ensures that solutions are tailored to each team's unique workflows.

What is the difference between Process Improvement Data Analyst vs Business Analyst?

AspectProcess Improvement Data AnalystBusiness Analyst
Required CredentialsBachelor's in Data Analytics, Business, or related field; certifications like Six Sigma or LeanBachelor's in Business, IT, or related; certifications like CBAP or PMI-PBA
Work EnvironmentData-driven teams, process improvement projects, operational settingsProject teams, stakeholder meetings, business process analysis
Employer & Industry UsageManufacturing, healthcare, finance, logisticsIT, finance, consulting, corporate sectors

The Process Improvement Data Analyst focuses on analyzing data to optimize processes and increase efficiency, often working closely with operational teams. In contrast, a Business Analyst evaluates business needs, documents requirements, and facilitates solutions across various departments. While both roles require analytical skills and some overlapping certifications, their primary focus and daily tasks differ significantly.

What job categories do people searching Process Improvement Data Analyst jobs in Laredo, TX look for?

The top searched job categories for Process Improvement Data Analyst jobs in Laredo, TX are:

What cities near Laredo, TX are hiring for Process Improvement Data Analyst jobs?

Cities near Laredo, TX with the most Process Improvement Data Analyst job openings:

Infographic showing various Process Improvement Data Analyst job openings in Laredo, TX as of August 2026, with employment types broken down into 2% Internship, 79% Full Time, 12% Part Time, 2% Temporary, and 5% Contract. Highlights an 95% In-person, and 5% Hybrid job distribution, with an average salary of $70,700 per year, or $34 per hour.

Quality Analyst- Onsite

Laredo, TX


Laredo Medical Center
Health Care and Social Assistance • 1 - 5K employees

6.3

Company rating: 6.3 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

777th of 1,064 rated hospitals

People enjoy working here

Recommended by parents

Respectful managers


Full-time

Posted 13 days ago


Job description

Job Description Job Summary
The Quality Analyst plays a vital role in supporting the organization's data-driven decision-making process. This role contributes to the analysis and interpretation of complex healthcare data to identify trends, patterns, and insights that improve patient care, operational efficiency, and strategic planning. This role will work closely with senior analysts and business stakeholders across various departments to provide data-driven recommendations and support data-related projects.
Essential Functions
  • Gathers, cleans, and prepares data from various sources (e.g., Electronic Medical Records (EMR), regulatory databases, internal quality tools) to ensure accuracy, consistency, and completeness.
  • Conducts descriptive and exploratory analyses using statistical and analytical techniques to identify performance trends and quality improvement opportunities.
  • Writes and executes SQL queries to extract and manipulate data for analysis and reporting.
  • Develops and delivers recurring and ad hoc reports summarizing performance indicators, quality metrics, and regulatory outcomes.
  • Creates clear and effective data visualizations (e.g., dashboards, charts, graphs) to communicate findings to technical and non-technical stakeholders.
  • Collaborates with cross-functional teams (e.g., clinicians, administrators, IT) to answer data-related questions, support audits, and resolve data quality concerns.
  • Supports enterprise quality improvement and patient safety initiatives by providing data analysis and insight to inform decision-making.
  • Assists senior analysts with complex projects by contributing to data preparation, trend identification, and results interpretation.
  • Manages multiple assignments with attention to detail, deadlines, and changing priorities.
  • Performs other duties as assigned.
  • Maintains regular and reliable attendance.
  • Complies with all policies and standards.
Qualifications
  • Bachelor's Degree in a clinical discipline required or
  • Two (2) plus years of direct experience in lieu of a Bachelor's degree required
  • 1-3 years of experience in data analytics, healthcare operations, program management, or relevant support services required
Knowledge, Skills and Abilities
  • Working knowledge of clinical workflows, healthcare operations, and quality improvement concepts.
  • Proficiency in data analysis tools and query languages (e.g., SQL, Excel, or equivalent).
  • Experience with electronic medical records (EMR) systems and familiarity with healthcare datasets.
  • Ability to create clear, accurate, and visually compelling reports and dashboards.
  • Strong attention to detail and commitment to data accuracy and integrity.
  • Excellent written and verbal communication skills with the ability to present findings to both technical and non-technical audiences.
  • Strong critical thinking and problem-solving skills.
  • Ability to work collaboratively in cross-functional teams and manage multiple priorities simultaneously.


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