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Entry Level Data Science Jobs in Sandy, UT (NOW HIRING)

Collect and analyze data, and test, validate, and document results. Summarize research findings to ... This is an Entry-Level position in the General Professional track. Job Code: P56431 Grade: P12 ...

Collect and analyze data, and test, validate, and document results. Summarize research findings to ... This is an Entry-Level position in the General Professional track. Job Code: P56431 Grade: P12 ...

Collect and analyze data, and test, validate, and document results. Summarize research findings to ... This is an Entry-Level position in the General Professional track. Job Code: P56431 Grade: P12 ...

Collect and analyze data, and test, validate, and document results. Summarize research findings to ... This is an Entry-Level position in the General Professional track. Job Code: P56431 Grade: P12 ...

This is an Entry-Level position in the General Professional track. Job Code: P56431 Grade: P12 ... Collect and analyze data, and test, validate, and document results. Summarize research findings to ...

... - Entry Level Pro FLSA Code Professional Patient Sensitive Job Code? No Standard Hours per Week 40 ... Consult with scientists and engineers to ensure proper use of statistical methodology and ...

... - Entry Level Pro FLSA Code Professional Patient Sensitive Job Code? No Standard Hours per Week 40 ... Consult with scientists and engineers to ensure proper use of statistical methodology and ...

... - Entry Level Pro FLSA Code Professional Patient Sensitive Job Code? No Standard Hours per Week 40 ... Collect and analyze data, and test, validate, and document results. Summarize research findings to ...

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How much do entry level data science jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for entry level data science in Sandy, UT is $18.10, according to ZipRecruiter salary data. Most workers in this role earn between $15.29 and $20.34 per hour, depending on experience, location, and employer.

Are there entry-level data science roles?

Yes, entry-level data science roles are available and typically require foundational skills in programming, statistics, and data analysis, often using tools like Python or R. These positions are suitable for recent graduates or those transitioning into data science and may involve internships or junior analyst roles to build experience.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

What are entry level data science jobs?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

How do I become a data scientist with no experience?

To become an entry-level data scientist with no experience, focus on building foundational skills in programming (Python or R), statistics, and data analysis through online courses and tutorials. Gaining practical experience by working on personal projects, participating in competitions like Kaggle, and learning tools such as SQL and machine learning libraries can help demonstrate your abilities to employers.

What types of projects or tasks can I expect to work on as an entry-level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What is the difference between Entry Level Data Science vs Data Analyst?

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming, statistics, and data analysis tools like Python or R. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or internships can improve your chances of securing such roles.
What are the most commonly searched types of Data Science jobs in Sandy, UT? The most popular types of Data Science jobs in Sandy, UT are:
What are popular job titles related to Entry Level Data Science jobs in Sandy, UT? For Entry Level Data Science jobs in Sandy, UT, the most frequently searched job titles are:
What cities near Sandy, UT are hiring for Entry Level Data Science jobs? Cities near Sandy, UT with the most Entry Level Data Science job openings:
Infographic showing various Entry Level Data Science job openings in Sandy, UT as of June 2026, with employment types broken down into 1% As Needed, 91% Full Time, 7% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $37,658 per year, or $18.1 per hour.
Technical Business Analyst I

Technical Business Analyst I

University of Utah

Salt Lake City, UT

Other

Medical, Retirement

Posted 6 days ago


University Of Utah rating

7.2

Company rating: 7.2 out of 10

Based on 157 frontline employees who took The Breakroom Quiz

334th of 537 rated colleges and universities


Job description

Technical Business Analyst I Job Summary Technical Business Analyst I The Clinical and Translational Science Institute (CTSI) supports a broad range of faculty researchers, data scientists, clinical coordinators and informaticists. This position works with the Clinical and Translational Science Institute Biomedical Informatics Core (BMIC) on the core application and data management, user services support team to provide support to research teams, internal systems and processes. You will be part of a dynamic team that supports day-to-day operations of our BMIC service desk in collaboration with investigator teams.

You'll be able to grow your skills with new functionality and practices while supporting our researchers through our service recharge center. You'll help create and update user facing documentation and internal standard operating procedure guides for BMIC operations and researcher projects. Implementation of change management control processes and quality assurance process management are required.

The most successful candidates will bring curiosity and drive to help researchers with the wide variety of solutions the BMIC offers. The Technical Business Analyst, I position supports front line service desk support as the primary function, provides clear support following BMIC standard operating procedures, and provides investigator operational support for BMIC services as assigned. Additionally, this position will assist in support for project operations of the BMIC to collect, clarify, and document business requirements.

He/she is also responsible for configuring, debugging, testing, and implementing the designed solution for assigned projects. Click here to learn more about the CTSI. Learn more about the fantastic benefits provided to University of Utah Employeesincluding generous retirement contribution, comprehensive medical coverage, tuition reduction, and more.

Responsibilities Technical Business Analyst, IRequires a bachelor's (or equivalency) + 2 years of directly related work experience or a master's (or equivalency) degree.This is an Entry-Level position in the General Professional track. Reviews, analyzes, and modifies programming systems including encoding, testing, debugging and installing to support an organization's application systems. Consults with users to identify current operating procedures and to clarify program objectives.

May be expected to write documentation to describe program development, logic, coding, and corrections. Writes manual for users to describe installation and operating procedures. Key Responsibilities Provide production support for incident resolution and change requests for service recharge projects.

Coordinate day-to-day application operations and service desk support. Follow, develop and maintain user-facing documentation and internal SOPs. Implement and manage change control and quality assurance processes.

Support project operations by gathering and documenting business requirements. Configure, test, and deploy informatics solutions for investigator teams and investigator-initiated projects. Assist in implementing and supporting research workflows using tools such as REDCap and OpenSpecimen.

Promote best practices in data management, including data integrity, security, and compliance with regulatory standards. Disclaimer: This job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job.

Minimum Qualifications EQUIVALENCY STATEMENT: 1 year of higher education can be substituted for 1 year of directly related work experience (Example: bachelor's degree = 4 years of directly related work experience).Department may hire employee at one of the following job levels: Technical Business Analyst, I: Requires a bachelor's (or equivalency) + 2 years of directly related work experience or a master's (or equivalency) degree. Preferences Technical Skills: Experience with REDCap data management and project configurations or other electronic data management systems in a research setting. Experience with Atlassian Service Desk, Service Now, Salesforce, knowledge base management.

Familiarity with database management and data wrangling techniques. Some experience with data processing in a translational research environment. Understanding of Good Clinical Practice (GCP) and clinical research coordination.

Analytical Skills: Strong problem-solving abilities and attention to detail. Knowledge of Help Desk environments and a knack for working under pressure to reason through complex information, assess problems, and collaborate on effective solutions. Communication and Collaboration: Excellent communication skills to work effectively with multidisciplinary teams.

Ability to translate technical and research requirements into practical solutions. Collaborative mindset to support internal operations and service units. Ability to manage multiple priorities in a fast-paced environment.

Minimum 2 years of experience in customer service or service management. Special Instructions In the cover letter, please describe your experience as it relates to this position and confirm that you will be available to work from the state of Utah for this position. Requisition Number: PRN45299B Full Time or Part Time?

Full Time Work Schedule Summary: Business hours, arranged with supervisor Department: 01271 - Biomed Informatics Core CCTS Location: Campus Pay Rate Range: $60,000-$66,000 Close Date: 9/7/2026 Open Until Filled: To apply, visit https://utah.peopleadmin.com/postings/203353 jeid-bbc0f818adfb03468695581896f8b881


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About University of Utah

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The University of Utah is the state’s flagship institution of higher education, with 18 schools and colleges, more than 100 undergraduate majors and graduate programs, and an enrollment of more than 38,000 students. It is a member of the Association of American Universities—an invitation-only, prestigious group of 71 leading research institutions. The U is advancing a new national model for higher education that delivers societal impact through education, research, health care, and community service, while making social, economic, and cultural contributions that improve lives across Utah and around the world.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Salt Lake City, UT, US

Year founded

1850