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

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

Your passion and advanced knowledge in data analysis, statistics, AI, and machine learning will be ... Undergraduate degree in Data Science, Statistics, Mathematics, Computer Science or a related field ...

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

Your passion and advanced knowledge in data analysis, statistics, AI, and machine learning will be ... Undergraduate degree in Data Science, Statistics, Mathematics, Computer Science or a related field ...

Data Scientist

Lehi, UT · On-site

$120K - $145K/yr

Solid understanding of statistical analysis and machine learning techniques, including ... Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field ...

The Terminal Data Analyst I will collaborate with department leaders to ensure all data is ... The ability to use a computer and keyboard. * The ability to sit and work at desk and on a computer ...

The role will focus on extending machine learning, predictive modeling, and analytic components to ... Master of Science degree or higher in the fields of Computer Science, Statistics, or Mathematics is ...

The role will focus on extending machine learning, predictive modeling, and analytic components to ... Master of Science degree or higher in the fields of Computer Science, Statistics, or Mathematics is ...

Sr. Data Scientist

Lehi, UT · On-site

$150K - $185K/yr

... computer science, statistics, and predictive modeling. You will collaborate cross-functionally with teams spanning customer-facing functions, engineering, and research to analyze data, run ...

The role will focus on extending machine learning, predictive modeling, and analytic components to ... Master of Science degree or higher in the fields of Computer Science, Statistics, or Mathematics is ...

Anyone can use Domo to prepare, analyze, visualize, automate, and build data products that are ... Master's Degree or PhD with an emphasis in data science, statistics, behavioral science, computer ...

Anyone can use Domo to prepare, analyze, visualize, automate, and build data products that are ... Master's Degree or PhD with an emphasis in data science, statistics, behavioral science, computer ...

Data Engineer

Lehi, UT · 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 · On-site +1

$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 · On-site +1

$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 • Works closely with ... Computer Science, Statistics, or Mathematics • An aptitude for medical informatics Company

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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Data Analyst Computer Science information

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$78.2K

$128.7K

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

As of Jun 19, 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 AI replacing data analysts?

AI tools are automating certain data processing tasks, but data analysts are still essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like data visualization, statistical analysis, and domain knowledge that AI cannot fully replicate, so AI is more of a complement than a replacement in this field.

Can computer science work as a data analyst?

A computer science background can be highly relevant for a data analyst role, as it provides skills in programming, data management, and algorithms. Data analysts often use tools like SQL, Excel, and statistical software, and a strong foundation in programming languages such as Python or R is beneficial. Certifications in data analysis or related fields can also enhance job prospects.

Can ISFJ be a data analyst?

Yes, individuals with the ISFJ personality type can be data analysts, as success in this role depends on skills such as attention to detail, analytical thinking, and proficiency with tools like Excel, SQL, or Python. While personality type can influence work style, technical skills and experience are more critical for performing effectively as a data analyst.

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.
What are popular job titles related to Data Analyst Computer Science jobs in Provo, UT? For Data Analyst Computer Science jobs in Provo, UT, the most frequently searched job titles are:
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:
Senior Data Scientist

Senior Data Scientist

nCino

Lehi, UT • On-site

$107K - $183K/yr

Full-time

Posted 12 days ago


Job description

nCino offers exciting career opportunities for individuals who want to join the worldwide leader in cloud banking.
Are you a highly motivated problem solver looking for a challenge? Do you want to make a significant impact on complex banking problems and be a driving force in the AI revolution in banking? Then look no further! Our Data & AI team is seeking a Senior Data Scientist to join us in building intelligent automation and insights into our products.
As a Senior Data Scientist, you will collaborate with cross-functional stakeholders to identify high-impact business challenges and opportunities, analyze complex datasets, extract meaningful insights, and develop/deploy/monitor data-driven solutions. Your passion and advanced knowledge in data analysis, statistics, AI, and machine learning will be instrumental in driving data-driven products and services across the banking industry.
Essential Functions:
  • Applies developed knowledge and understanding of building large-scale machine learning, predictive modeling, and advanced analytics tools; proficient in multiple data-related programming languages
  • Proficient creating machine learning, predictive modeling, and advanced analytics tools tailored to solve business problems
  • Experience in large data sets and algorithms
  • Considers and analyzes information from multiple data sources, including experience and input from others when determining the best approach for routine and non-routine problems
  • Ability to prototype ideas and demonstrate pros and cons in a clear and concise manner
  • Understanding of data science priorities and how each contributes to the success of nCino
  • Demonstrates ability to acquire domain knowledge of the business and effectively applies this expertise to inform model development and problem-solving approaches
  • Extensive experience in developing, deploying, and monitoring complex machine learning models
  • Lead and guide teams in implementing programming best practices and adopting emerging technologies
  • Leverage AI tools and techniques to enhance software development activities, including code generation, testing, debugging, and optimization.
  • Apply AI insights to identify patterns, automate repetitive tasks, and improve overall development efficiency and product quality.
  • Evaluate and integrate AI/ML capabilities where appropriate to strengthen product functionality and user experience.
  • Maintain awareness of emerging AI trends and best practices to inform continuous learning and innovation.

Qualifications:
Required:
  • Undergraduate degree in Data Science, Statistics, Mathematics, Computer Science or a related field with 5+ years of related experience or combination of experience and education
  • Demonstrated mastery of programming skills in Python or R
  • Experience with data visualization tools (DOMO, AWS Quicksight, Tableau, etc.)
  • Demonstrated mastery of machine learning algorithms and techniques
  • Strong problem-solving skills and ability to work independently and collaboratively
  • Strong experience with SQL or noSQL and database management systems
  • Experience deploying and monitoring models in production
  • Strong understanding of the business domain
  • Ability to translate business questions into analytics projects and deliver actionable insights
  • Flexibility and the ability to be productive in a fast-paced, team environment
  • Excellent verbal and written communication skills for technical and non-technical audiences
  • Familiarity with production code practices, including unit testing, object-oriented programming (OOP), error handling, logging, contract testing, and version control

Desired:
  • Advanced degree in Data Science, Statistics, Mathematics, Computer Science or a related field
  • Experience developing and deploying models using Databricks and mlflow
  • Experience with AWS tools and services, including Lambda, Sagemaker, S3, Athena, Quicksight
  • Experience with Agile software development

If you thrive in a high-energy, entrepreneurial environment, we invite you to share your passion, ideas and excitement at nCino.
The pay range for this role is based on relative market data and alignment with our compensation philosophy. The range displayed reflects the minimum and maximum of the pay range for each job posting, which is used to determine new hire rates/salaries and takes into consideration multiple factors including but not limited to knowledge, skills, abilities, proficiencies, experience, education, licensures/certifications, as well as business and organizational needs. nCino reserves the right to modify the posted range consistent with our internal practices and external market movement. The recruiter for this job posting can share more compensation details during the recruitment process, as base salary is only one component of the total compensation package per position posted.
The base salary range for this job is:
$107,900.00 - $183,400.00
nCino provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, disability, genetics or other protected groups. In addition to federal law requirements, nCino complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
nCino is committed to the full inclusion of all qualified individuals. As part of this commitment, nCino will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact us at recruiting@ncino.com.
Our commitment to inclusion and equality includes a strong belief that the diversity of our team is instrumental to our success. We strive to create workplaces where employees are empowered to bring their authentic selves to work.