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Computational Data Analytics Jobs in Utah (NOW HIRING)

Research Technicians

Salt Lake City, UT ยท On-site

$10.92 - $25.06/hr

Competency with computational data analysis also will be considered favorably but is not required. Type Benefited Staff Special Instructions Summary Additional Information The University is a ...

Research Scientist

Salt Lake City, UT ยท On-site

$47.60K - $72K/yr

Problem Solving This position demands proficiency in computational data analysis and statistical methods. Comments Work Environment and Level of Frequency that may be required: Nearly Continuously:

Postdoctoral Fellow I

Logan, UT ยท On-site

$42.30K - $57.40K/yr

Ph.D. degree in Computational Biology, Genomics, Bioinformatics, Computer Science or highly related field. * Experience in developing Machine Learning-based models and large-scale data analysis ...

Postdoctoral Fellow I

Logan, UT

$42.30K - $57.40K/yr

Ph.D. degree in Computational Biology, Genomics, Bioinformatics, Computer Science or highly related field. * Experience in developing Machine Learning-based models and large-scale data analysis ...

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Computational Data Analytics information

See Utah salary details

$22

$49

$86

How much do computational data analytics jobs pay per hour?

As of May 28, 2026, the average hourly pay for computational data analytics in Utah is $49.84, according to ZipRecruiter salary data. Most workers in this role earn between $40.05 and $56.44 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Computational Data Analytics professional, and why are they important?

To thrive as a Computational Data Analytics professional, you need strong quantitative skills, proficiency in statistics, and expertise in data manipulation, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with programming languages like Python or R, experience with data visualization tools (e.g., Tableau, Power BI), and knowledge of machine learning frameworks are commonly required. Excellent problem-solving abilities, effective communication, and the capacity to work collaboratively make candidates stand out. These skills enable professionals to extract actionable insights from complex datasets, drive informed decision-making, and add significant value to organizations.

How does a Computational Data Analyst typically collaborate with cross-functional teams to deliver data-driven insights?

Computational Data Analysts frequently work alongside professionals from various departments, such as engineering, product management, and business strategy. They gather requirements, clarify analysis goals, and present findings in clear, actionable terms. Regular meetings and collaborative tools are often used to ensure alignment, while analysts translate complex data patterns into practical recommendations that support decision-making across the organization. This teamwork not only enhances the impact of their analyses but also provides valuable opportunities for learning and professional growth.

What is computational data analytics?

Computational data analytics is the process of using computational methods, algorithms, and systems to analyze large and complex datasets. This field combines principles from computer science, mathematics, and statistics to extract meaningful insights and patterns from data. Professionals in computational data analytics use tools such as machine learning, data mining, and statistical modeling to solve real-world problems in various industries. Their work often involves programming, data visualization, and working with big data platforms.

What is the difference between Computational Data Analytics vs Data Scientist?

AspectComputational Data AnalyticsData Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's or Master's in Data Science, Computer Science, Statistics, or related fields
Work EnvironmentData analysis teams, research labs, tech companiesData analysis teams, research labs, tech companies
Employer & Industry UsageTech, finance, healthcare, academiaTech, finance, healthcare, academia
Common Search & ComparisonYesYes

Computational Data Analytics focuses on developing algorithms and computational methods to analyze large datasets, often emphasizing programming and algorithm design. Data Scientists combine statistical analysis, machine learning, and domain expertise to interpret data and generate insights. While both roles require similar educational backgrounds and work environments, Computational Data Analytics leans more toward algorithm development, whereas Data Scientists focus on modeling and interpretation.

What are popular job titles related to Computational Data Analytics jobs in Utah? For Computational Data Analytics jobs in Utah, the most frequently searched job titles are:

Digital Practice Specialist II, Computational Design

Hksinc

Salt Lake City, UT โ€ข On-site

Full-time

Posted 5 days ago


Job description

Overview:

Performs advanced technical implementation to support, optimize, and troubleshoot digital design workflows for project teams and studios. Diagnoses complex models, workflows, and interoperability issues to improve efficiency and ensure consistent application of firmwide digital standards, templates, and processes. Contributes to piloting, evaluating, and refining new tools and digital solutions.
In this computational design-focused role, develop an automation-oriented mindset by identifying smarter, more efficient approaches to project tasks and exploring advanced workflows for 3D modeling, digital fabrication, and performance analysis. Collaborates with project teams and Digital Practice Leadership to enhance interoperability between platforms and elevate how digital tools support design and delivery. Demonstrates continuous learning and contributes to evolving standards and best practices, building a foundation for growth into more advanced technical and solutions-focused roles.

Responsibilities:

Project

  • Serves as a primary technical support resource for multiple project teams or an entire studio, providing advanced troubleshooting, guidance, and workflow optimization
  • Leads model setup, structure, maintenance, and quality reviews for teams, resolving complex issues related to performance, data integrity, interoperability, and coordination workflows
  • Supports and monitors compliance with project BIM Execution Plans, digital standards, content requirements, and project information workflows
  • Facilitates coordination workflows such as clash detection, federated model assembly, data exchanges, and cross-disciplinary collaboration
  • Assists teams in implementing automation tools, scripts, templates, and digital solutions
  • Diagnoses and resolves interoperability challenges between design technologies, computational design, visualization, analysis, and project management platforms
  • Supports advanced tasks such as model audits, data validation, geometry cleanup, scripting adjustments, and template troubleshooting
  • Partners with Digital Practice Leaders to implement firmwide standards and solutions at the project level
  • Identifies recurring challenges, tool issues, or workflow gaps to Digital Practice Leadership and provides insights to refine or develop innovative solutions
  • Engages in project and studio meetings as the digital support representative, assessing project needs and proactively identifying opportunities to enhance workflows
  • Develops and documents project-specific workflows and solutions, contribute to practice guides, and tutorials, and share lessons learned to improve firmwide standards
  • Assists with onboarding new team members to digital workflows and tools, and provides informal training on digital tools and best practices as needed
  • Applies automation-oriented problem-solving approaches to reduce manual effort and improve workflow efficiency before relying on repetitive or brute-force methods
  • Collaborates with team members to explore and implement advanced digital workflows that improve control of 3D geometry, design modeling practices, and support digital fabrication, simulation, and analysis
  • Assists in the development, testing, and refining new toolsets and modeling techniques that improve interoperability between software platforms and support environmental simulation and performance analysis
  • Supports the use of computational design, scripting tools, and parametric modeling techniques as part of project delivery under the guidance of senior digital practice staff
  • Provides feedback and ideas to Digital Practice leadership on opportunities to enhance modeling techniques, workflow efficiency, and integration across digital tools


Culture

  • Supports the firm's values of quality, innovation, learning, and growth through proactive, service-oriented technical support
  • Acts as a mentor to team members by providing guidance, feedback, QA/QC, and direction on modeling and delivery methodologies
  • Help maintain a culture of technical excellence and digital curiosity within the studio or project team
  • Promote sustainable, responsible digital practices that reduce rework, improve performance, and support design intent

Financial

  • Understand the impact of technical efficiency on project budgets and schedules.
  • Work efficiently and prioritize tasks to meet expected utilization targets
  • Assist in identifying opportunities for efficiencies through improved digital workflows or process adjustments

Qualifications:

Education and Experience

  • Accredited professional degree in Architecture, Engineering, Construction, or related field; advanced degree preferred
  • Typically 3-5+ years of experience in the AEC industry, with direct exposure to digital workflows

Licenses and Certifications

  • Licensure or certification in chosen field preferred

Technical Skills& Competencies

  • Proven expertise in design technology, computational design, data analytics, and other emerging digital technologies relevant to architecture and design
  • Familiarity with data management, visualization, and collaboration platforms (e.g., Power BI, Speckle, Forge, Unreal Engine)
  • Proficiency in MS Office Suite preferred
  • Strong understanding of building systems, technical documentation, and construction processes
  • Experience collaborating with multi-disciplinary teams and manages change in a complex, global organization.
  • Strong communication and interpersonal skills with the ability to remain professional when navigating challenges
  • Excellent communication, presentation, and interpersonal skills with the ability to engage both technical and non-technical audiences
  • Demonstrates a strong commitment to excellence, consistently delivering accurate, high-quality results
  • Ability to coordinate and manage multiple projects while supporting a distributed team
  • Ability to diagnose technical issues and apply solutions quickly in a fast-paced project environment.
  • Highly organized, detail-oriented, and capable of supporting multiple projects simultaneously
  • A learning mindset with curiosity and a desire to grow into deeper technical roles
  • Travel may be required

If you currently work for HKS, please submit your application via the Internal Careers Portal.

HKS is an EEO/AA Employer: M/F/Disabled/Veteran