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Data Analyst Data Science Jobs in Springville, UT

Crumbl

Data Engineer

Provo, UT · On-site

$108K - $130K/yr

Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure data quality * Develop and maintain documentation, including data dictionaries, workflow ...

Pura

Staff Data Scientist

Pleasant Grove, UT · On-site

By blending artistry and science, Pura allows users to design their own "scentscapes" that enhance ... Strong analytical and problem-solving skills with attention to data quality and reliability

Pura USA

Staff Data Scientist

Pleasant Grove, UT · On-site

$90 - $130/hr

... data science initiatives when faced with ambiguous problems. They can take open‑ended business questions and turn them into well‑defined analyses, models, and experimentation plans that deliver ...

Waystar

Sr. Data Scientist

Lehi, UT · On-site

... computer science, mathematical, predictive modeling and statistical methods, & knowledge. This ... The role will focus on extending machine learning, predictive modeling, and analytic components to ...

Waystar, Inc

Sr. Data Scientist

Lehi, UT · On-site

$80 - $120/hr

The role involves solving technical, data‑driven Healthcare problems using computer science ... The focus is on extending machine learning, predictive modeling, and analytic components to provide ...

Waystar

Sr. Data Scientist

Lehi, UT · On-site

... computer science, mathematical, predictive modeling and statistical methods, & knowledge. This ... The role will focus on extending machine learning, predictive modeling, and analytic components to ...

Patientco

Sr. Data Scientist

Lehi, UT

... computer science, mathematical, predictive modeling and statistical methods, & knowledge. This ... The role will focus on extending machine learning, predictive modeling, and analytic components to ...

Crew Career Center

Sr. Data Scientist

Lehi, UT

... computer science, mathematical, predictive modeling and statistical methods, & knowledge. This ... The role will focus on extending machine learning, predictive modeling, and analytic components to ...

Neighbor

Software Engineer, Data

Lehi, UT · On-site

$140 - $180/hr

You'll join our data & analytics team as its first dedicated data engineer, working alongside data analysts and data scientists. You'll own the pipelines and transformation layer that power analytics ...

Medium

Software Engineer, Data

Lehi, UT · On-site

$120 - $180/hr

You'll join our data & analytics team as its first dedicated data engineer, working alongside data analysts and data scientists. You'll own the pipelines and transformation layer that power analytics ...

New

Pattern

Data Engineer

Lehi, UT

$107K - $129K/yr

Bachelor's Degree in Data Science, Data Analytics, Information Management, Computer Science, Information Technology, related field, or equivalent professional experience. * 3-5 years of experience ...

Pattern

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

Bachelor's Degree in Data Science, Data Analytics, Information Management, Computer Science, Information Technology, related field, or equivalent professional experience. * 3-5 years of experience ...

Neighbor

Software Engineer, Data

Lehi, UT

$107K - $129K/yr

You'll join our data & analytics team as its first dedicated data engineer, working alongside data analysts and data scientists. You'll own the pipelines and transformation layer that power analytics ...

Neighbor

Software Engineer, Data

Lehi, UT · On-site

$107K - $129K/yr

You'll join our data & analytics team as its first dedicated data engineer, working alongside data analysts and data scientists. You'll own the pipelines and transformation layer that power analytics ...

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Showing results 41-60

All JobsData Analyst Data Science JobsData Analyst Data Science Jobs in Springville, UT

Data Analyst Data Science information

See Springville, UT salary details

$31.6K

$76.9K

$126.5K

How much do data analyst data science jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data analyst data science in Springville, UT is $76,858.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,100.00 and $90,200.00 per year, depending on experience, location, and employer.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What job categories do people searching Data Analyst Data Science jobs in Springville, UT look for?

The top searched job categories for Data Analyst Data Science jobs in Springville, UT are:

What cities near Springville, UT are hiring for Data Analyst Data Science jobs?

Cities near Springville, UT with the most Data Analyst Data Science job openings:

Data Analyst Data Science jobs near you
Infographic showing various Data Analyst Data Science job openings in Springville, UT as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $76,858 per year, or $37 per hour.

Data Engineer

Crumbl

Provo, UT • On-site

$108K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago

Job description

Crumbl HQ is seeking a skilled and motivated data engineer to join our growing team. The successful candidate will be responsible for building and maintaining data pipelines using dbt and Prefect to support data-driven decision-making across the organization.
Responsibilities
  •  Design, build, and maintain scalable and reliable data pipelines through ELT/ETL extraction methods.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure data quality
  • Develop and maintain documentation, including data dictionaries, workflow diagrams, and data flow diagrams
  • Ensure the integrity and security of data by implementing appropriate controls and monitoring
  • Optimize and tune data pipelines to ensure efficient processing and query performance
  • Implement and maintain data security policies and procedures, including access controls, encryption, and data masking
  • Design and implement data processing workflows using dbt and Prefect to support data science and machine learning applications
  • Develop and maintain data ingestion processes to bring data from external sources into the organization's data environment
  • Identify and address performance issues with data pipelines, and work with infrastructure and operations teams to optimize system performance
  • Conduct testing and validation of data pipelines to ensure they are functioning correctly and meeting business requirements
  • Participate in code reviews and contribute to the development of best practices for data engineering
  • Stay current with emerging technologies and trends in data engineering and data science, and identify opportunities to leverage them within the organization
Qualifications
  • Bachelor's or Master's degree in Data Science, Information Systems, or a related field
  • 3+ years building and maintaining production data pipelines (degree in a related field or equivalent experience)
  • Advanced SQL: window functions, CTEs, and query/performance tuning on large datasets
  • Strong Python for data engineering (modular, testable pipeline code)
  • Hands-on dbt experience: models, tests, macros, and incremental materializations
  • Production Snowflake experience: schema design, performance tuning, and warehouse/cost optimization
  • AWS data services (e.g., S3, Glue, Lambda)
  • Data quality and observability with dbt + Elementary
  • Infrastructure-as-code with Terraform and version control with Git
  • Dimensional data modeling (star/snowflake schemas, SCDs) and lakehouse concepts
  • Strong problem-solving skills and clear communication with analysts, scientists, and stakeholders

Benefits & Perks

- Medical, dental, and vision benefits
- 15 days PTO/year
- 10 paid holidays
- Paid parental leave
- Personal phone bill reimbursement
- Gym reimbursement
- Corporate DoorDash DashPass membership
- Regular company and team activities
- 401k with competitive matching contribution plan
- Excellent opportunities for career growth
- Work in a hyper-growth company

Crumbl was founded in 2017 by Jason McGowan & Sawyer Hemsley in Logan, Utah. It is now the fastest-growing cookie company in the nation with over 1000 locations in the USA and Canada. Crumbl is powered by cutting-edge technology, iconic branding, delicious desserts, and passionate people.

Crumbl HQ and franchisees provide employment for over 26,000 people across the United States, and all of our franchises are owned and operated by independent members of the local community.

Crumbl's 200+ unique cookie flavors rotate weekly and are served in our famous pink box! 

Crumbl is an equal opportunity employer. Crumbl provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.

Recruitment Agencies: Crumbl HQ doesn't typically partner with 3rd party recruitment resources. If we require assistance on this search we will contact selected partners directly; we do not accept unsolicited candidate submissions.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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