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Remote Data Jobs in Utah (NOW HIRING)

Data Scientist

Eden, UT ยท On-site +1

Communicate clearly and proactively in a remote-first environment Qualifications Required * Bachelor\'s or Master\'s degree in Statistics, Economics, Data Science, Computer Science, or related ...

Staff Data Architect

Lehi, UT ยท On-site +1

$59.75 - $77/hr

Two-time winner (2024, 2023) Top Workplace Innovation * 2025 Remote Work * 2024 Technology Industry ... We are looking for a Data Architect to set the north-star data strategy for the company and lead ...

Data Engineer

Salt Lake City, UT ยท On-site +1

$90K - $120K/yr

Remote work and relocation support are not offered** Key Responsibilities * Utilize SQL to query and extract data * Develop Power BI dashboards for various business units * Create PowerApps as needed ...

This is a remote role that is part of the Finance department and reports to the Director of Data & Analytics. YOUR RESPONSIBILITIES * Partner directly with stakeholders across the business (Product ...

Facility Data Analyst

Salt Lake City, UT ยท On-site +1

$56K - $85K/yr

As a Facility Data Analyst , you will work to support the development and deployment of cutting ... This is a hybrid-remote position that can be based out of the Harris corporate headquarters in St.

New

Senior Data Analyst

Murray, UT ยท On-site +1

$80K - $101K/yr

Senior Data Analyst Inside Real Estate is a fast-growing, independently-owned real estate software ... Potential to work in a remote setting; * Exciting/energetic work environment and fun, creative ...

Sales Ops Data Analyst In Office /Remote: /Hybrid Exempt / Non-exempt Based: Manila, Philippines Job Purpose: Navitas Semiconductor (Nasdaq: NVTS) is a next-generation power semiconductor leader ...

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Showing results 1-20

Remote Data information

See Utah salary details

$41.9K

$150.2K

$221.7K

How much do remote data jobs pay per year?

As of Jul 9, 2026, the average yearly pay for remote data in Utah is $150,228.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $154,800.00 per year, depending on experience, location, and employer.

What are some common challenges faced when working as a Remote Data Analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

What is the difference between Remote Data vs Remote Data Analyst?

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

How can I make 2000 a week working from home?

Remote data roles such as data analyst or data scientist can offer high earning potential, with experienced professionals earning $2,000 or more weekly through project-based work, consulting, or full-time employment. Building skills in data analysis tools, programming languages, and obtaining relevant certifications can help increase earning capacity, especially when working independently or in specialized niches.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with spreadsheet or database software. Legitimate positions are often posted on reputable job boards and do not require upfront fees.

How to make $1000 a week remotely?

Remote data roles such as data analyst or data scientist can generate $1000 or more weekly with experience, strong analytical skills, and proficiency in tools like Excel, SQL, or Python. Achieving this income often involves freelance projects, contract work, or full-time positions with high pay rates, and may require certifications or specialized knowledge in data management and analysis.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.
What are the most commonly searched types of Data jobs in Utah? The most popular types of Data jobs in Utah are:
What cities in Utah are hiring for Remote Data jobs? Cities in Utah with the most Remote Data job openings:

Head of Data | USA, Remote

C&D Talent Advisory

Salt Lake City, UT โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, PTO

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

About the Hiring Process

When you apply, our AI-powered matching platform considers you not only for this opportunity, but also for other relevant roles across our network, one application can unlock multiple career opportunities.

We only work with real companies hiring for live positions. If there's a strong match, we'll guide you through the process; if not, we won't ignore you.

About the Company

Our client is building one of America's leading AI-powered financial wellness platforms. Combining AI, automation, and financial intelligence, they're creating a full-stack money coach that helps consumers build, manage, and grow their financial lives.

Backed by experienced founders and operating at startup speed, they're scaling rapidly and using AI to redefine how modern fintech companies make data-driven decisions.

  • Location: Remote (United States) | Phoenix, AZ (Hybrid-Preferred)
  • Employment Type: Full-time
  • Work Authorization: Required for USA
About the Role

As Head of Data, you'll build and lead the company's data function while remaining deeply hands-on. This isn't a traditional management role, you'll personally analyze data, shape the technology stack, implement AI-driven workflows, and establish the analytical foundation that powers every strategic decision across the business.

Working directly with leadership, you'll combine technical expertise, business acumen, and AI to build a lean, high-impact data organization capable of operating at startup speed.

What You'll Do
  • Build and own the company's data function from the ground up
  • Audit and improve existing data infrastructure, tooling, and processes
  • Lead a lean data team while remaining hands-on with analysis
  • Leverage AI to automate workflows and increase team productivity
  • Analyze large datasets to answer strategic business questions
  • Deliver investment-grade analyses, dashboards, and executive briefings
  • Establish data governance, reporting standards, and analytical best practices
  • Partner with Product, Finance, Operations, and Leadership to drive business decisions
  • Continuously improve the company's AI-enabled data capabilities
What We're Looking For
  • Experience in financial analysis, investment analysis, private equity, business analytics, or data-heavy roles within high-growth SaaS, fintech, or consumer technology companies
  • Strong hands-on experience working with large datasets
  • Excellent SQL and modern analytical tooling experience
  • Strategic mindset with strong commercial understanding
  • Experience implementing AI tools and AI-powered workflows
  • Outstanding communication and storytelling skills with executive stakeholders
  • Builder mentality with high ownership and execution focus
  • Based in the United States (Arizona preferred)
Nice to Have
  • Consumer fintech experience
  • Startup or founder-led environment
  • Business Intelligence platforms
  • Python, SQL, or modern analytics stack
  • Experience building data functions from the ground up
  • Investment banking, consulting, or private equity background
What We Offer
  • Competitive salary plus meaningful equity
  • Flexible remote work
  • Health, dental, and vision insurance
  • Unlimited paid time off
  • High ownership with direct access to founders
  • Opportunity to build an AI-first data organization from day one
  • Collaborative, ambitious, and mission-driven culture

Build the AI-powered data function shaping the future of consumer financial wellness...