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Process Improvement Data Analyst Jobs in Orem, UT

KēSTA I.T.

Data Analyst

Midvale, UT

$45 - $60/hr

Data Analyst - Data Integration & Enablement Location: Salt Lake City, UT Job Type: Contract ... Build and maintain automated processes for data validation and reporting. * Validate data accuracy ...

Patientco

VP, Data Sciences

Lehi, UT · On-site

... processing and analysis of data and information for internal and external clients in a sub-part of ... improvement. Data Governance & Compliance: Establishing and enforcing robust data governance ...

Waystar, Inc

VP, Data Sciences

Lehi, UT · On-site

$130 - $160/hr

... processing and analysis of data and information for internal and external clients in a sub-part of ... improvement. * Data Governance & Compliance: Establishing and enforcing robust data governance ...

Waystar

VP, Data Sciences

Lehi, UT · On-site

... processing and analysis of data and information for internal and external clients in a sub-part of ... improvement. * **Data Governance & Compliance:** Establishing and enforcing robust data governance ...

Crew Career Center

VP, Data Sciences

Lehi, UT · On-site

... processing and analysis of data and information for internal and external clients in a sub-part of ... improvement. Data Governance & Compliance: Establishing and enforcing robust data governance ...

FASHIONPHILE

Process & Strategy Analyst II

Lehi, UT · On-site

$80 - $105/hr

Coordinating with business, Technology, Engineering, Data, UX, QA, Finance, Legal, Procurement ... transformation, process improvement, business analysis, change enablement, or related work

FASHIONPHILE

Process & Strategy Analyst II

Lehi, UT

$80K - $105K/yr

Coordinating with business, Technology, Engineering, Data, UX, QA, Finance, Legal, Procurement ... transformation, process improvement, business analysis, change enablement, or related work

Fashionphile

Process & Strategy Analyst II

Lehi, UT · On-site

$80K - $105K/yr

Coordinating with business, Technology, Engineering, Data, UX, QA, Finance, Legal, Procurement ... transformation, process improvement, business analysis, change enablement, or related work

FASHIONPHILE

Process & Strategy Analyst II

Lehi, UT · On-site

$80K - $105K/yr

Coordinating with business, Technology, Engineering, Data, UX, QA, Finance, Legal, Procurement ... transformation, process improvement, business analysis, change enablement, or related work

Raytheon

Principal Analyst Data Manager

Provo, UT

We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do ... Experience with government standards and processes, such as described in EIA-649, Configuration ...

Raytheon

Principal Analyst Data Manager

Provo, UT · On-site

We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do ... Experience with government standards and processes, such as described in EIA-649, Configuration ...

Raytheon

Principal Analyst Data Manager

Provo, UT · On-site

We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do ... Experience with government standards and processes, such as described in EIA-649, Configuration ...

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All JobsProcess Improvement Data Analyst JobsProcess Improvement Data Analyst Jobs in Orem, UT

Process Improvement Data Analyst information

See Orem, UT salary details

$42.2K

$70K

$87.4K

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

As of Sep 1, 2026, the average yearly pay for process improvement data analyst in Orem, UT is $70,020.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,200.00 and $77,400.00 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 are popular job titles related to Process Improvement Data Analyst jobs in Orem, UT?

For Process Improvement Data Analyst jobs in Orem, UT, the most frequently searched job titles are:

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

The top searched job categories for Process Improvement Data Analyst jobs in Orem, UT are:

Process Improvement Data Analyst jobs near you

Data Analyst

Midvale, UT

KēSTA I.T.
See more jobs at KēSTA I.T.external

$45 - $60/hr

Full-time

Posted 5 days ago

Job description

Data Analyst – Data Integration & Enablement

Location: Salt Lake City, UT

Job Type: Contract

Experience: 2+ years

Education: Bachelor’s degree preferred

Job Summary

Our client is seeking a Data Analyst to support data integration and enablement initiatives. This role will help build and maintain the data foundation supporting regulatory and financial reporting, analytics, and other business initiatives.

The Data Analyst will work with both business and technology teams to gather requirements, profile source systems, design data flows, document metadata and transformation logic, develop test cases, and validate data quality.

The role will work with data across modern platforms including Enterprise Data Warehouse, Data Lake, Data Mesh, and Operational Data Store (ODS) environments.

Responsibilities

  • Gather and translate business requirements into data solutions.
  • Partner with business and technology stakeholders to understand data requirements.
  • Profile source systems and understand underlying data models.
  • Design efficient data integrations and data flows.
  • Document metadata, transformation rules, and data lineage.
  • Develop and execute test cases to validate data quality and integrity.
  • Build and maintain automated processes for data validation and reporting.
  • Validate data accuracy, completeness, and usability.
  • Collaborate with end users to ensure delivered data meets business requirements.
  • Support data integration and enablement initiatives across the organization.

Required Qualifications

  • 2+ years of experience in data analysis, data integration, or a related field.
  • Strong SQL skills, including data profiling, transformation, testing, and validation.
  • Experience with Python.
  • Experience gathering requirements and working directly with business stakeholders.
  • Strong analytical and problem-solving skills.
  • Strong written and verbal communication skills.
  • Experience documenting technical processes, data requirements, and transformation logic.
  • Bachelor’s degree in data, analytics, business, computer science, or a related field.
  • Demonstrated experience providing project leadership or mentoring others.

Preferred Qualifications

  • Experience with modern data stack technologies such as dbt, Databricks, and GCP.
  • Familiarity with Enterprise Data Warehouse, Data Lake, Data Mesh, or ODS environments.
  • Understanding of data governance, metadata, data lineage, and data quality practices.
  • Familiarity with AI concepts and prompt engineering.

Technical Skills

  • Advanced SQL
  • Python
  • dbt
  • Databricks
  • Google Cloud Platform (GCP)
  • Data profiling and validation
  • Data transformation
  • Data quality testing
  • Data integration
  • Data lineage and metadata

Education and experience may be considered in combination to meet the requirements of the position.