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Senior Data Analyst Remote Jobs in Utah (NOW HIRING)

Sr. Data Analyst

Salt Lake City, UT · On-site +1

$83K - $105K/yr

... analyzing data, presenting results, and driving change. This role is designed for candidates who ... Work with senior leaders and other stakeholders within various departments at Lucid * Identify and ...

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 ...

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 ...

Senior Conflicts Analyst

Salt Lake City, UT · On-site +1

$100K - $120K/yr

... data projects and suggest system improvements to enhance workflow and efficiency. * Serve as a ... Hybrid and remote-friendly arrangements available. * Professional Environment: Collaborative ...

Data Engineer

Salt Lake City, UT · On-site +1

$90K - $120K/yr

Data Engineer RC Willey is seeking a Data Engineer to collect, analyze, and interpret data that ... Remote work and relocation support are not offered** Key Responsibilities * Utilize SQL to query ...

Data Engineer

Salt Lake City, UT · On-site +1

$110K - $133K/yr

You will play a key role in advancing our data analytics capabilities, ensuring data is reliable ... Hybrid or onsite work environment preferred, with remote consideration based on candidate ...

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Senior Data Analyst Remote information

See Utah salary details

$50.1K

$90.3K

$123.4K

How much do senior data analyst remote jobs pay per year?

As of Jul 28, 2026, the average yearly pay for senior data analyst remote in Utah is $90,337.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,300.00 and $98,800.00 per year, depending on experience, location, and employer.

What is a Senior Data Analyst Remote job?

A Senior Data Analyst Remote job involves analyzing complex datasets to provide insights that drive business decisions, all while working from a remote location. Responsibilities typically include data modeling, visualization, and collaborating with cross-functional teams to optimize strategies. Senior analysts are expected to have advanced analytical skills, experience with SQL, Python, or R, and familiarity with business intelligence tools. They also help streamline data processes and ensure data accuracy for strategic planning. This role requires strong communication skills to present findings clearly to stakeholders.

What are the key skills and qualifications needed to thrive in the Senior Data Analyst Remote position, and why are they important?

To excel as a Senior Data Analyst Remote, you need advanced analytical skills, a solid background in statistics, and experience with large datasets, typically supported by a bachelor's or master's degree in a quantitative field. Expertise in SQL, Python or R, data visualization tools like Tableau or Power BI, and familiarity with cloud-based data platforms are commonly required, along with relevant certifications such as Google Data Analytics or Microsoft Certified Data Analyst. Excellent communication, problem-solving ability, and project management skills are highly valued in this remote role to ensure effective collaboration and stakeholder engagement. These competencies are essential for delivering actionable insights, driving business decisions, and thriving within distributed, cross-functional teams.

What are the typical challenges faced by Senior Data Analysts working remotely, and how can they be overcome?

Senior Data Analysts working remotely often face challenges related to effective cross-team communication, accessing data securely, and maintaining alignment with business goals. Proactively scheduling regular virtual check-ins, using collaborative project management tools, and ensuring access to up-to-date documentation can help bridge gaps and keep work on track. To overcome data access and security issues, it’s important to follow organizational protocols for secure connection to data sources and encrypted communication. Staying connected with stakeholders through clear, concise reporting also supports transparency and alignment. By embracing structured workflows and leveraging remote collaboration tools, remote Senior Data Analysts can stay productive and closely integrated with their teams.

What are the most commonly searched types of Senior Data Analyst jobs in Utah? The most popular types of Senior Data Analyst jobs in Utah are:
What cities in Utah are hiring for Senior Data Analyst Remote jobs? Cities in Utah with the most Senior Data Analyst Remote job openings:
Infographic showing various Senior Data Analyst Remote job openings in Utah as of July 2026, with employment types broken down into 91% Full Time, 5% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $90,337 per year, or $43.4 per hour.
Sr. Data Analyst

Sr. Data Analyst

Lucid Software

Salt Lake City, UT • On-site, Remote

$83K - $105K/yr

Other

Posted 7 days ago


Job description

Lucid Software is the leader in visual collaboration, helping teams see and build the future from idea to reality. Our products, business, and workplace culture have received numerous awards, such as being named to the Forbes Cloud 100 and a Fortune Best Workplace in Technology. Lucid is a hybrid workplace, allowing employees to work remotely, from one of our offices, or a combination of the two depending on the needs of the role and team. At Lucid, we hold true to our core values of teamwork over ego, innovation in everything we do, individual empowerment, initiative, and ownership, and passion and excellence in every area. We value diversity and are dedicated to creating an environment that is respectful and inclusive for everyone.

In today's tech environment, strategic thinking must be paired with strong analytical skills. As an Analyst on Lucid's Strategy & Analytics team, you will be expected to be fluent in all aspects of strategic problem solving - from identifying opportunities to analyzing data, presenting results, and driving change. This role is designed for candidates who have already honed their technical skills working with data and are ready to take their careers to the next level.

Analysts on the Strategy & Analytics team support groups across the whole business, allowing you to see multiple sides of the business and expand your knowledge and experience. These groups include Marketing, Demand Generation, Sales Operations, Customer Experience, Product, and Strategy. The tool sets developed and used are similar across these functions, but each presents domain-specific challenges that will provide unique opportunities for learning.

Some examples of past projects from our team include creating a customer health score to highlight at-risk accounts, identifying opportunities to accelerate product adoption at enterprise companies, creating tools to automate the analysis of A/B tests, finding ways to increase collaboration and virality of our product, and building dashboards to help sales reps target high-potential accounts.

Although your day-to-day work will be with the function to which you are assigned, you will be well-supported by the rest of the Strategy & Analytics team. While we are distributed throughout the company, we maintain close ties by holding weekly team trainings, daily working sessions, and regular team activities. We help each other whenever possible, and with the collective efforts of the full team, there's rarely a question we can't answer.

Responsibilities:

  • Work with senior leaders and other stakeholders within various departments at Lucid
  • Identify and understand problems and opportunities
  • Come up with data-driven recommendations
  • Implement new initiatives that help grow the business
  • Other duties as assigned

Requirements:

  • Completed Bachelor's and/or Master's degree, ideally in a technical or quantitative field
  • 4+ years professional experience 
  • Proficient with SQL
  • Strong understanding of statistics and hypothesis testing
  • Great communication skills, both written and verbal
  • Able to think strategically and tackle open-ended problems
  • Detail-oriented, organized, and a good team player

Preferred Qualifications:

  • Passion for problem-solving - If you've ever been so absorbed in a problem that your mind couldn't rest until you figured it out, you'll be in good company.
  • Willing to help and be helped - Our impact comes only through helping others make better decisions using data. We recognize that we're stronger together - there's no shame in asking for help, we're not afraid to say "I don't know", and we actively seek feedback.
  • Desire to learn - You'll often be answering questions that have never been answered before, which requires a high level of intellectual curiosity and an eagerness to dive into new problems, domains, tools, and techniques.

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