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Data Analyst Data Science Jobs in Draper, UT (NOW HIRING)

Varsity Tutors

Data Science Tutor

Provo, UT · Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

ION Solar

BI - Senior Data Analyst

Orem, UT · On-site

$74K - $94K/yr

As a Senior Data Analyst, you will be responsible writing, maintaining, and evolving data pipelines ... Additionally, having additional experience in the solar industry and leveraging data science ...

Cliftonlarsonallen

Data Analyst Senior

Salt Lake City, UT · On-site +1

$83K - $105K/yr

Degree in Business, Accounting, Finance, Economics, Analytics, or Data Science is preferred. #LI-RC1 Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities Click here to learn ...

KēSTA I.T.

Data Scientist

Lehi, UT

$120K - $145K/yr

You will be part of a broader data science function, partnering closely with product, engineering, and operational teams to analyze data, run experiments, and expand the use of advanced analytics ...

Crumbl

Data Analyst

Provo, UT · On-site

The Data Analyst will help teams and leaders make strategic decisions utilizing internal and ... Computer Science, Information * Management, Statistics, etc.), but not required. * Recent ...

Navtech, Inc.

Data Analyst

Salt Lake City, UT

Data Analyst Location : Salt Lake City/UT Duration : 12 Months Contract : Requirements ... Degree - Candidate must possess a bachelor's degree from an accredited college in Computer Science ...

Crumbl

Data Analyst

Provo, UT

The Data Analyst will help teams and leaders make strategic decisions utilizing internal and ... Computer Science, Information * Management, Statistics, etc.), but not required. * Recent ...

Crumbl

Data Analyst

Provo, UT · On-site

The Data Analyst will help teams and leaders make strategic decisions utilizing internal and ... Computer Science, Information * Management, Statistics, etc.), but not required. * Recent ...

Inside Real Estate

Senior Data Analyst

Murray, UT · On-site +1

$80K - $101K/yr

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field (Master's degree preferred). * 3-5+ years of hands-on experience with product and customer analytics ...

Stio

Data Analyst

Salt Lake City, UT · Remote

YOUR ROLE The Data Analyst is a key early member of Stio's Data & Analytics team, working alongside the Director of Data & Analytics to expand how the business uses data to make decisions. This is a ...

Stio

Data Analyst

Salt Lake City, UT · Remote

YOUR ROLE The Data Analyst is a key early member of Stio's Data & Analytics team, working alongside the Director of Data & Analytics to expand how the business uses data to make decisions. This is a ...

Snap Finance

Data Scientist

West Valley City, UT · On-site

... their analytics department, focusing on applying data science practices to support the Sales and B2B Marketing departments. Responsibilities : • Mining, modeling, and analyzing large datasets ...

Snap Finance

Data Scientist

West Valley City, UT · Remote

Demonstrated ability to take data science projects from development to production. * Skilled analyst who produces regular reporting content for key stakeholder meetings, responds to ad hoc analysis ...

Domo

Senior Data Scientist

American Fork, UT · On-site

Anyone can use Domo to prepare, analyze, visualize, automate, and build data products that are amplified by AI. POSITION SUMMARY Sr. Data Scientists at Domo are client-facing experts who work with ...

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Showing results 1-20

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

Data Analyst Data Science information

See Draper, UT salary details

$31.8K

$77.3K

$127.1K

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

As of Jun 23, 2026, the average yearly pay for data analyst data science in Draper, UT is $77,256.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,400.00 and $90,700.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

Data analysts and data scientists can start their careers at any age, including 40 or older. Success in data science depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, which can be learned at any stage of life. Many professionals transition into data roles later in their careers with dedication and continuous learning.

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 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or data. Data analysts often use this concept to focus on the most impactful variables or features during analysis and modeling to improve efficiency and accuracy.

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.

Can data science work as a data analyst?

Data science and data analysis are related fields, but they have different focuses. Data scientists often develop models and algorithms using programming languages like Python or R, while data analysts primarily interpret data, generate reports, and use tools like Excel or SQL. Skills in statistical analysis, data visualization, and understanding business needs are essential for both roles, and some professionals transition between them based on experience and training.

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 are the key skills and qualifications needed to thrive as a Data Analyst in Data Science, and why are they important?

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.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, human expertise remains essential for interpreting results, understanding context, and communicating findings effectively. Data analysts who develop skills in machine learning, programming, and data visualization will continue to be valuable in the evolving data science environment.
What are popular job titles related to Data Analyst Data Science jobs in Draper, UT? For Data Analyst Data Science jobs in Draper, UT, the most frequently searched job titles are:
What job categories do people searching Data Analyst Data Science jobs in Draper, UT look for? The top searched job categories for Data Analyst Data Science jobs in Draper, UT are:
What cities near Draper, UT are hiring for Data Analyst Data Science jobs? Cities near Draper, UT with the most Data Analyst Data Science job openings:
Data Analyst Data Science jobs near you
Data Science Tutor

Data Science Tutor

Varsity Tutors

Provo, UT • Remote

$40/hr

Part-time

Posted 21 days ago

Varsity Tutors rating

5.7

Company rating: 5.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

13th of 21 rated private schools and tutoring

Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a Data Science Tutor
  • Advanced Subject Mastery: Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data-driven insights. Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.
  • Conceptual Teaching & Problem-Solving: Skilled at teaching the full data science workflow from question formulation through insight communication. Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data presentations. Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics.
  • Curriculum Awareness & Adaptive Instruction: Familiar with data science curricula and bootcamp programs, and common challenges such as data cleaning complexity, selecting appropriate statistical tests, and communicating technical findings to non-technical stakeholders. Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows to support students from introductory data literacy through advanced analytics and machine learning implementation.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

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