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Data Cleansing Jobs in Utah (NOW HIRING)

Gehc

Service Data Scientist

Salt Lake City, UT

Work with data engineers on data quality assessment, data cleansing and data analytics Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work ...

GE HealthCare

Service Data Scientist

Salt Lake City, UT · On-site

... cleansing and data analytics • Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes. • Share and discuss findings with team ...

Glymed Plus

Staff Accountant

Pleasant Grove, UT · On-site

$52 - $70/hr

Data cleansing to maintain and support accurate forecasting. * Additional responsibilities as assigned. Qualifications: * Bachelor's degree in accounting or equivalent experience * 1+ years of ...

New

ZAGG Inc

Senior Financial Analyst

Midvale, UT · On-site

$80K - $100K/yr

Support the forecasting and budgeting process by collecting data, performing data cleansing and staging, and helping update financial models. * Partner with Directors of FP amp;A to support key ...

ZAGG, Inc.

Senior Financial Analyst

Midvale, UT · On-site

$80K - $100K/yr

Support the forecasting and budgeting process by collecting data, performing data cleansing and staging, and helping update financial models. * Partner with Directors of FP&A to support key business ...

Kavaliro

Data Engineer

Salt Lake City, UT · On-site

$100K - $135K/yr

Design and develop reusable components and frameworks for ingestion, cleansing, and data quality. * Streamline the ingestion of raw data from various sources into our Data Lake and Data Warehouse.

Autoliv United States

Packaging Engineer AOA

Ogden, UT · On-site

Own the supplier packaging dBase (LIS) - data cleansing and content management. * Own the customer packaging responses as part of the PPAP process and content management through the various customer ...

Pwc

MDM Senior Architect-Manager

Salt Lake City, UT · On-site

$99K - $232K/yr

Your work will involve implementing data quality control measures, performing data cleansing and validation, and monitoring data integrity. You will be responsible for managing data operations ...

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All JobsData Cleansing JobsData Cleansing Jobs in Utah

Data Cleansing information

See Utah salary details

$31K

$75.2K

$123.8K

How much do data cleansing jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data cleansing in Utah is $75,233.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,900.00 and $88,300.00 per year, depending on experience, location, and employer.

What is data cleansing?

A Data Cleansing job involves identifying and correcting inaccuracies, inconsistencies, and errors in datasets to ensure data quality and reliability. Professionals in this role clean data by removing duplicates, standardizing formats, handling missing values, and validating information. This process improves the accuracy of business insights, enhances decision-making, and optimizes data-driven operations. Data cleansing is commonly required in industries such as marketing, finance, healthcare, and e-commerce, where accurate data is essential for efficiency and compliance.

What are the key skills and qualifications needed to thrive in data cleansing, and why are they important?

To thrive in Data Cleansing, you need strong analytical skills, attention to detail, and familiarity with data management concepts—ideally supported by a degree in information technology, computer science, or a related field. Proficiency with tools such as Microsoft Excel, SQL, data profiling tools, and, in some cases, data integration platforms or data quality software is highly valuable. Excellent problem-solving abilities, strong communication, and the ability to work both independently and collaboratively are crucial soft skills. These competencies are essential for ensuring the accuracy, consistency, and usability of organizational data, which directly impacts decision-making and operational efficiency.

What are some common challenges faced in data cleansing?

Data Cleansing professionals often encounter challenges such as handling large volumes of inconsistent or incomplete data, identifying duplicate entries, and ensuring accuracy while meeting tight deadlines. They may also need to work with data from multiple sources and formats, requiring adaptability and strong technical know-how. Collaboration with data analysts, IT teams, and business stakeholders is common to ensure the cleaned data meets organizational needs. Overcoming these challenges helps maintain data integrity and directly supports effective business operations.

Is data cleansing hard?

Data cleansing as a job involves identifying and correcting errors, inconsistencies, and inaccuracies in datasets, which can require attention to detail and familiarity with tools like Excel or specialized software. The difficulty depends on the complexity and size of the data, but it generally requires patience and analytical skills.

What are popular job titles related to Data Cleansing jobs in Utah?

For Data Cleansing jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Data Cleansing jobs in Utah look for?

The top searched job categories for Data Cleansing jobs in Utah are:

What cities in Utah are hiring for Data Cleansing jobs?

Cities in Utah with the most Data Cleansing job openings:

Data Cleansing jobs near you
Infographic showing various Data Cleansing job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $75,233 per year, or $36.2 per hour.

Service Data Scientist

Gehc

Salt Lake City, UT

Full-time

Re-posted 5 days ago

GE HealthCare rating

8.4

Company rating: 8.4 out of 10

Based on 137 frontline employees who took The Breakroom Quiz

100th of 495 rated machine equipment manufacturers

Job description

Job Description SummaryThe Sr Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets.Job Description

Roles and Responsibilities

As a Sr Data Scientist, you will be part of a data science or cross-disciplinary team on commercially-facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GE business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization.
In this role, you will:
Develop analytics to address customer needs and opportunities.
Work alongside software developers and software engineers to translate algorithms into commercially viable products and services.
Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
Perform exploratory and targeted data analyses using descriptive statistics and other methods.
Work with data engineers on data quality assessment, data cleansing and data analytics
Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.
Share and discuss findings with team members.

Education Qualification

Bachelor's Degree in Computer Science or "STEM" Majors (Science, Technology, Engineering and Math) with minimum years of experience 4 years

Desired Characteristics

Demonstrated skill in the use of one or more analytic software tools or languages (e.g., SAS, SPSS, R, Python)
Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment
Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on industrial datasets
Demonstrated skill at data visualization and storytelling for an audience of stakeholders
Technical Expertise:
Demonstrated awareness of data management methods
Demonstrated awareness of real-time analytics development and deployment
Domain Knowledge:
Demonstrated awareness of industry and technology trends in one or more sectors where GE operates
Demonstrated awareness of customer and stakeholder management and business metrics
Leadership:
Demonstrated skill at function in a team setting
Demonstrated awareness of critical thinking and problem solving methods
Demonstrated awareness of presentation and influencing skills
Personal Attributes:
Demonstrated awareness of how to succeed in ambiguous circumstances

We will not sponsor individuals for employment visas, now or in the future, for this job opening. Additional Information

GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is anEqual Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.

Relocation Assistance Provided: No

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