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Data Jobs in Roy, UT (NOW HIRING)

PACS

Senior DataBI Analyst

Farmington, UT · On-site

$100/hr

We're growing fast and are looking for a skilled Data / Business Intelligence Analyst to join our team. We need someone who can build independently, take ownership of data infrastructure, and turn ...

Jade Global

Integration Analyst Intern

Ogden, UT · On-site

Integration Analyst Intern1 Integration Analyst Intern in the Data & AI Team Launch Your Career with Jade Global Are you ready to start a career where your talents are recognized, your growth is ...

Jade Global

Integration Analyst Intern

Ogden, UT · On-site

Integration Analyst Intern1 Integration Analyst Intern in the Data & AI Team Launch Your Career with Jade Global Are you ready to start a career where your talents are recognized, your growth is ...

AppleOne

French Bilingual CSR/Data Entry

Ogden, UT · Remote

$50K/yr

Job Summary We are seeking a French Bilingual CSR/Data Entry professional for a temp-to-hire remote opportunity supporting customers in a structured insurance contact center environment. This French ...

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All JobsData JobsData Jobs in Roy, UT

Data information

See Roy, UT salary details

$43.9K

$157.4K

$232.2K

How much do data jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data in Roy, UT is $157,392.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,300.00 and $162,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a data analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

Is it hard to get a data job?

Getting a data job can be competitive, as it often requires strong skills in data analysis, programming, and tools like SQL or Python. Relevant experience, certifications, and a solid portfolio can improve chances of securing a position in this field.

What are different jobs that work with data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and interpreting data to support decision-making, often requiring skills in programming, statistics, and data visualization tools like SQL, Python, or R.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

More about Data jobs

What are the most commonly searched types of Data jobs in Roy, UT?

The most popular types of Data jobs in Roy, UT are:

What job categories do people searching Data jobs in Roy, UT look for?

The top searched job categories for Data jobs in Roy, UT are:

What cities near Roy, UT are hiring for Data jobs?

Cities near Roy, UT with the most Data job openings:

Data jobs near you
Infographic showing various Data job openings in Roy, UT as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $157,392 per year, or $75.7 per hour.

Senior Systems Engineer- Managed Services

Contour Data Solutions

Magna, UT • On-site

$80K - $120K/yr

Full-time

Re-posted 27 days ago

Job description

Senior Systems Engineer- Managed Services
Company: Contour Data Solutions, LLC
Role: Senior Systems Engineer- Managed Services
Location: Remote / Hybrid (US-based preferred)
Department: Cloud & Infrastructure Engineering
Reports To: Head of Engineering / Infrastructure/Cloud
Salary Range: $80K-$120K
Shift: 11AM-7:30PM EST
Role Overview
Contour Data Solutions seeks a highly motivated Systems Engineer to make an immediate impact in a fast-paced, 24x7x365 environment. As part of the Managed Services Technology Team, you will design, build, and support the server, virtualization, storage, and backup infrastructure that runs proprietary and third-party applications across Windows and Linux. This is a systems-first role: deep, hands-on ownership of virtualization (VMware, with exposure to alternative hypervisors such as Hyper-V, Nutanix AHV, Proxmox, Xen, or KVM), backup and DR (Veeam and Zerto), and enterprise compute and SAN storage. Automation is central to the work - you will use scripting and infrastructure-as-code tooling to standardize builds, patching, and recovery. You will focus on performance tuning, hardening, design, implementation, and break/fix resolution, and provide both technical and business input into projects. A working knowledge of the surrounding network is expected, but the core of the job is systems engineering.
Job Description
Own the day-to-day operation, change control, and maintenance of the systems estate - servers, hypervisors, storage, and backup/DR - including patching, upgrades, builds, replacement, and troubleshooting. Serve as an escalation point and mentor to the Contour Operations Center, and manage the ticket queue to ensure all work is handled appropriately.
Systems Engineering & Operations
  • Design, build, and administer virtualization environments - primarily VMware vSphere/ESXi (clusters, vCenter, resource pools, HA/DRS, capacity planning), with exposure to alternative hypervisors such as Microsoft Hyper-V, Nutanix AHV, Proxmox VE, Xen, or KVM.
  • Own backup and disaster recovery using Veeam and Zerto, including replication, failover/failback testing, retention policies, and recovery validation.
  • Provision, patch, harden, and maintain Windows Server and Linux systems, including Active Directory, DNS/DHCP, and core platform services.
  • Manage SAN storage and SAN switching - provisioning, zoning, LUN/datastore management, performance, and capacity.
  • Build and maintain automation for provisioning, patching, configuration, and reporting using scripting and infrastructure-as-code tooling (e.g., PowerShell/PowerCLI, Bash, Python, Ansible/Terraform), reducing manual effort and standardizing repeatable tasks.
  • Develop runbooks and scheduled jobs to automate routine maintenance, health checks, and backup/DR validation.
  • Monitor system health and resource usage, tuning parameters to improve throughput, stability, and efficiency.

Design & Strategy
  • Create engineering designs that meet business and operational objectives, including business continuity and disaster recovery solutions.
  • Define standard designs, templates, and procedures for projects following existing architectures, and develop new patterns where required.
  • Provide subject matter expertise across the technology lifecycle - risk, refresh, migration, and retirement.
  • Estimate and plan domain activities to feed end-to-end project plans and advise leadership on architecture and infrastructure planning.
  • Evaluate and recommend tools with a cost-conscious approach, drawing on industry best practices and prior project executions.
Support
  • Manage the ticket queue and lead resolution of complex systems issues across compute, virtualization, storage, and backup.
  • Lead or participate in medium-to-high complexity projects and on-call production support.
  • Proactively implement procedures to prevent and reduce the severity of outages.
  • Perform upgrades and installations alongside application teams and keep asset and time-tracking systems current.
  • Be available for 24/7 on-call on a rotating team schedule once onboarded.
Qualifications
  • MSP experience required.
  • Bachelor's degree in engineering, computer science, MIS, or a related field preferred; equivalent work experience accepted.
  • 5+ years in design, implementation, and support of enterprise systems infrastructure.
  • Strong hands-on expertise with VMware (vSphere/ESXi/vCenter) in production environments; experience with alternative hypervisors (Hyper-V, Nutanix AHV, Proxmox VE, Xen, or KVM) is a plus.
  • Strong experience with backup and disaster recovery platforms - Veeam and Zerto (or comparable replication/DR tooling).
  • Solid Windows Server and Linux administration, including core services such as Active Directory, DNS, and DHCP.
  • Hands-on knowledge of server hardware (e.g., Dell), SAN switching, and SAN storage.
  • Proven automation experience - scripting with PowerShell/PowerCLI, Bash, or Python, and familiarity with configuration management or infrastructure-as-code tools such as Ansible or Terraform to standardize and scale operations.
  • Understanding of systems and network security best practices and hardening.
Networking (Nice to Have)
  • Working knowledge of routing and switching, firewalls, and VPNs sufficient to support and troubleshoot the systems environment.
  • Familiarity with Cisco, Palo Alto, or Fortinet, and common protocols (TCP/UDP, HTTP/HTTPS, NFS, SMB), is a plus but not the primary focus of the role.

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