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Data Analyst Computer Science Jobs in Provo, UT (NOW HIRING)

Managing budgets for data management and analytics initiatives, ensuring optimal resource allocation and ROI. WHAT YOU'LL NEED * **Education:** Bachelor's degree in Computer Science, Data Science ...

Managing budgets for data management and analytics initiatives, ensuring optimal resource allocation and ROI. --- WHAT YOU'LL NEED Education: Bachelor's degree in Computer Science, Data Science ...

Managing budgets for data management and analytics initiatives, ensuring optimal resource allocation and ROI. --- WHAT YOU'LL NEED Education: Bachelor's degree in Computer Science, Data Science ...

Data Engineer

Lehi, UT ยท On-site

$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 ...

Data Engineer

Lehi, UT ยท On-site

$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 ...

Data Engineer

Lehi, UT ยท On-site

$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 ...

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

Data Science Tutor

Spanish Fork, UT ยท 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 ...

Data Science Tutor

Provo, UT ยท 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 ...

Digital Analyst Internships

Orem, UT ยท On-site

$85K - $101K/yr

Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a related field * Familiarity with data analysis platforms and tools, comfortable extracting and ...

Bachelors degree in Computer Science, Engineering, Statistics, Data Science or related field plus ... Strong analytical, organizational, and problem-solving skills * Excellent communication and ...

... analytical open banking solutions. Focused in the first instance on affordability/credit ... An undergraduate degree or higher in Computer Science, Data Science, Econometrics, Mathematics ...

Degree in Computer Science, Math, Statistics, Engineering, Economics, Information Systems, or hands on job experience with data science or analytics * You are committed to honesty and a diverse and ...

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

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Showing results 1-20

Data Analyst Computer Science information

See Provo, UT salary details

$32.2K

$78.2K

$128.7K

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

As of Jul 11, 2026, the average yearly pay for data analyst computer science in Provo, UT is $78,174.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,100.00 and $91,800.00 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.
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What job categories do people searching Data Analyst Computer Science jobs in Provo, UT look for? The top searched job categories for Data Analyst Computer Science jobs in Provo, UT are:
What cities near Provo, UT are hiring for Data Analyst Computer Science jobs? Cities near Provo, UT with the most Data Analyst Computer Science job openings:
VP, Data Sciences

VP, Data Sciences

Waystar

Lehi, UT โ€ข On-site

Full-time

Medical, Retirement, PTO

Posted 25 days ago


Job description

ABOUT THIS POSITION
The Information Technology function is responsible for managing and overseeing the technology infrastructure that that supports the organization's operations. This includes the maintenance of hardware, software, networks, databases, and communication systems; ensuring that these systems are secure, efficient, and capable of supporting business objectives. Key responsibility areas include infrastructure management, software and systems maintenance and development, data management and security, technical support, and strategic planning and innovation. The Data Management & Analytics area is responsible for multiple aspects of data management and operations for the firm, including database administration and design, business intelligence and data architecture, data analytics, governance, and quality. The Data Management & Analytics - Executive focus specializes in overseeing the design, development, and operation of the technology architecture and infrastructure for the organizing, storage, retrieval, processing and analysis of data and information for internal and external clients in a sub-part of the overall organization (e.g., Group, Region, Division, Country) or is one of several executives responsible for oversight of the area at the Corporate level. Develops and implements enterprise and client-facing data management strategies to collect, store and increase usability and quality of enterprise and client data from multiple diverse sources.
WHAT YOU'LL DO
* **Strategic Leadership:** Defining and executing Waystar's overall data strategy, including data governance, data quality, data architecture, and data analytics roadmap to support business objectives.
* **Team Management & Development:** Building, mentoring, and leading a high-performing team of data engineers, data scientists, and data analysts, fostering a culture of innovation, collaboration, and continuous improvement.
* **Data Governance & Compliance:** Establishing and enforcing robust data governance policies, standards, and procedures to ensure data accuracy, security, privacy, and compliance with relevant regulations (e.g., HIPAA, GDPR, CCPA).
* **Data Platform & Architecture:** Overseeing the design, development, and maintenance of scalable and robust data platforms, data warehouses, data lakes, and analytical tools. Evaluating and implementing new data technologies and solutions.
* **Advanced Analytics & Reporting:** Driving the development and deployment of advanced analytical models, machine learning algorithms, and predictive insights to inform strategic decisions across various departments (e.g., product, marketing, finance, operations).
* **Stakeholder Collaboration:** Partnering closely with business leaders and cross-functional teams to understand their data needs, identify opportunities for data-driven improvements, and translate business requirements into technical solutions.
* **Performance Monitoring & Optimization:** Establishing key performance indicators (KPIs) for data initiatives, monitoring data quality, and optimizing data processes for efficiency and effectiveness.
* **Budget Management:** Managing budgets for data management and analytics initiatives, ensuring optimal resource allocation and ROI.
WHAT YOU'LL NEED
* **Education:** Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field. Master's degree or Ph.D. preferred.
* **Experience:**
* 10+ years of progressive experience in data management, data warehousing, business intelligence, and advanced analytics, with at least 5 years in a leadership role managing large teams.
* Proven experience in defining and implementing data strategies and roadmaps in a complex organizational environment.
* Demonstrated success in building and scaling data platforms and analytics capabilities from the ground up.
* **Technical Skills:**
* Expertise in data modeling, ETL/ELT processes, and data warehousing concepts.
* Proficiency with cloud data platforms (e.g., AWS, Azure, GCP) and related services (e.g., Redshift, Snowflake, BigQuery, Databricks).
* Strong command of SQL, Python, or R for data manipulation and analysis.
* Experience with business intelligence tools (e.g., Tableau, Power BI, Looker) and data visualization techniques.
* Familiarity with machine learning frameworks and statistical modeling.
* **Leadership & Soft Skills:**
* Exceptional leadership, communication, and interpersonal skills with the ability to influence and collaborate effectively with stakeholders at all levels.
* Strong strategic thinking and problem-solving abilities, with a track record of delivering measurable business impact through data.
* Demonstrated ability to attract, develop, and retain top data talent.
* Experience in the healthcare technology or financial technology industry is a significant plus.
* Ability to navigate complex technical and business challenges and drive initiatives to successful completion.
ABOUT WAYSTAR
Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.
Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun.
Waystar products have won multiple Best in KLASยฎ or Category Leader awards since 2010 and earned multiple #1 rankings from Black Bookโ„ข surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.com or follow @Waystar on Twitter.
WAYSTAR PERKS
  • Competitive total rewards (base salary + bonus, if applicable)
  • Customizable benefits package (3 medical plans with Health Saving Account company match)
  • We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
  • Paid parental leave (including maternity + paternity leave)
  • Education assistance opportunities and free LinkedIn Learning access
  • Free mental health and family planning programs, including adoption assistance and fertility support
  • 401(K) program with company match
  • Pet insurance
  • Employee resource groups

Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.