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Data Analyst Computer Science Jobs in Pleasant Grove, UT

Neighbor

Data Engineer

Lehi, UT

$107K - $129K/yr

... analytics engineering * Bachelor's degree in quantitative and/or technical fields (Math, Physics, Statistics, Economics, Computer Science, Engineering, etc.) OR 5+ years work experience as a Data ...

Neighbor

Data Engineer

Lehi, UT

$107K - $129K/yr

... analytics engineering * Bachelor's degree in quantitative and/or technical fields (Math, Physics, Statistics, Economics, Computer Science, Engineering, etc.) OR 5+ years work experience as a Data ...

Snap Finance

Data Scientist III

West Valley City, UT · On-site

Mining, modeling, and analyzing large datasets, utilizing predictive modeling techniques ... S. in quantitative fields such as Statistics, Econometrics, Mathematics, Physics, Computer Science ...

Waystar

Sr. Data Scientist

Lehi, UT · On-site

... analytical systems applied to design information and user behavior • Works closely with ... Computer Science, Statistics, or Mathematics • An aptitude for medical informatics Company

Varsity Tutors

Data Science Tutor

Spanish Fork, UT · Remote

$18 - $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 ...

Varsity Tutors

Data Science Tutor

Provo, UT · Remote

$18 - $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 ...

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All JobsData Analyst Computer Science JobsData Analyst Computer Science Jobs in Pleasant Grove, UT

Data Analyst Computer Science information

See Pleasant Grove, UT salary details

$30.7K

$74.5K

$122.7K

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

As of Jul 18, 2026, the average yearly pay for data analyst computer science in Pleasant Grove, UT is $74,543.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,400.00 and $87,500.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

Data analysts and data scientists can successfully transition into the field at age 40 or older, as skills in programming, statistics, and data visualization are valuable regardless of age. Many professionals acquire relevant certifications or learn tools like Python, R, or SQL later in their careers to enhance their prospects.

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

To thrive as a Data Analyst in Computer Science, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, as well as experience with database systems, are typically required. Attention to detail, problem-solving abilities, and effective communication help data analysts translate complex data into actionable insights for stakeholders. These skills are crucial for accurately interpreting data trends, supporting business decisions, and driving organizational growth.

What is a Data Analyst in Computer Science?

A Data Analyst in Computer Science is a professional who collects, processes, and analyzes data to help organizations make informed decisions. They use various statistical tools and programming languages, such as Python, R, and SQL, to interpret complex datasets and identify trends or patterns. Their work often involves cleaning data, creating visualizations, and preparing reports for stakeholders. Data Analysts play a key role in turning raw data into actionable insights that drive business strategies.

How does a Data Analyst with a computer science background typically collaborate with other departments within a company?

Data Analysts with a computer science background often work closely with teams such as marketing, product development, and IT to translate raw data into actionable insights. They may participate in cross-functional meetings to understand business goals, provide data-driven recommendations, and help automate data collection processes. Strong communication skills are essential, as analysts must explain technical findings in a way that non-technical stakeholders can understand. This collaborative environment not only broadens their impact but also exposes them to various aspects of the business, fostering professional growth.

Can I be a data analyst with computer science?

Yes, a background in computer science provides a strong foundation for a data analyst role, as it covers programming, data structures, and algorithms. Data analysts often use tools like SQL, Excel, and statistical software, and having programming skills in languages such as Python or R is highly beneficial.

Is a data analyst a high salary?

Data analysts typically earn competitive salaries that vary based on experience, location, and industry. In general, they have higher-than-average starting pay compared to many entry-level roles, especially when skilled in tools like Excel, SQL, and data visualization software. Advanced skills or certifications can lead to higher compensation.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication, which are difficult for AI to fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.
What job categories do people searching Data Analyst Computer Science jobs in Pleasant Grove, UT look for? The top searched job categories for Data Analyst Computer Science jobs in Pleasant Grove, UT are:
What cities near Pleasant Grove, UT are hiring for Data Analyst Computer Science jobs? Cities near Pleasant Grove, UT with the most Data Analyst Computer Science job openings:
Data Analyst Computer Science jobs near you
Data Engineer

Data Engineer

Neighbor

Lehi, UT

$107K - $129K/yr

Full-time

Re-posted 8 days ago

Job description

At Neighbor, we’re building the largest hyperlocal marketplace the world has ever seen. We’ve raised over $75 million from top-tier investors such as Andreessen Horowitz and the CEOs of DoorDash, StockX, and Uber. Our marketplace is already flourishing in all 50 states and we’re just getting started!
 
As a Data Engineer, you will be the core engineering resource responsible for building, scaling, and optimizing the data infrastructure that transforms raw events into high-fidelity, actionable intelligence. You will pioneer a foundation of engineering excellence, enabling the entire organization to make reliable, data-driven decisions at scale across all 50 states.
 
This engineering resource will be the cornerstone of our data infrastructure, responsible for extraction, transform, and load of the data that powers our nation-wide, best-in-class marketplace. By implementing software engineering best practices and scalable solutions, this role is critical in empowering the CEO, executive team, managers, and individual contributors with the robust and trustworthy intelligence needed to scale and innovate across our marketplace.
Primary Responsibilities
  • Design, implement, and maintain scalable data transformation layers and code-first orchestration frameworks to ensure the delivery of high-fidelity, reusable data models
  • Design and build robust pipelines to ingest data from diverse sources (APIs, logs, relational DBs)
  • Ensure the reliable and timely execution of all critical data pipelines (ETLs/ELTs) to maintain data integrity and freshness
  • Standardize analytics workflows by integrating software engineering best practices, including version control, CI/CD pipelines, and automated data validation protocols
  • Develop and refine a robust semantic layer to facilitate self-service analytics, enabling stakeholders to derive insights without exposure to underlying architectural complexities
  • Monitor and optimize cloud compute utilization and data model performance to ensure high availability and low-latency reporting during periods of rapid data scaling
  • Serve as a strategic technical partner to leadership across Product, Engineering, Marketing, and Finance to align data infrastructure with organizational objectives
  • Become a subject matter expert on the product ecosystem, user behavior, and marketing life cycles to better translate raw data into business value
  • Serve as a versatile technical resource capable of stepping into the Data Analyst capacity when necessary—performing deep-dive quantitative analysis and building sophisticated visualizations to support executive decision-making
  • Mentor the data analytics team on advanced technical methodologies to foster a culture of engineering excellence and data autonomy
Qualifications
  • 3+ years of experience in data engineering or analytics engineering
  • Bachelor's degree in quantitative and/or technical fields (Math, Physics, Statistics, Economics, Computer Science, Engineering, etc.) OR 5+ years work experience as a Data Engineer
  • Expert-level mastery of SQL, with the ability to write, tune, and optimize complex queries for high-volume environments
  • Strong command of at least one major programming language used for data processing
  • Hands-on experience designing and maintaining data lakes or cloud-based data warehouses
  • Deep understanding of data integration patterns, including data ingestion, transformation, and automated cleansing (ETL/ELT)
  • Experience applying scientific, mathematical, or statistical techniques to analyze data and build predictive models
  • Advanced ability to translate complex datasets into actionable narratives using modern business intelligence and reporting tools
  • A proven track record of using quantitative analysis to solve ambiguous problems and drive strategic decision-making in a fast-paced environment
  • Exceptional ability to collaborate with non-technical stakeholders, translating business requirements into technical specs and vice versa
Benefits
  • Generous Stock options
  • Medical, dental, and vision insurance
  • Generous PTO
  • 11 paid company holidays
  • 401(k) plan
  • Infant care leave
  • On-site gym/showers open 24/7
About Neighbor:
Neighbor is the largest and most comprehensive marketplace for self storage and parking, with listings in almost every U.S. city. From storage facilities to neighborhood garages, driveways, and RV spots, Neighbor brings every option together in one simple search. Come help us disrupt the $500 billion storage and parking industry! This is a unique opportunity to join a fast-growing, VC-backed tech startup. You will be part of a an extremely talented, hardworking and passionate team committed to changing the world one neighbor at a time.
 
Neighbor is an equal opportunity employer and is committed to providing a positive interview experience for every candidate. If accommodations due to a disability or medical condition are needed, connect with us via email at hr@neighbor.com. Check out our careers page to get to know us better as you think about your next step at Neighbor!

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.