1

Data Operations Analyst Jobs in Lehi, UT (NOW HIRING)

We're looking for a Cyber Operations Analyst to be part of making that happen. Location: Pleasant ... Analyze incoming security events based on different data points, networks, endpoints, and log ...

Partner with Sales Leadership and Revenue Operations to troubleshoot data discrepancies and evolve reporting as business needs shift. * Business Intelligence & Dashboarding - Perform ad-hoc analyses ...

IT Operations Analyst II

Sandy, UT ยท On-site

$54K - $71K/yr

Job Title: IT Operations Analyst II Work Schedule: (3 Days, noon to midnight with rotating on-call) ... Monitor and maintain data center environmental systems (power, cooling, rack management ...

IT Operations Analyst II

Sandy, UT ยท On-site

$54K - $71K/yr

Job Title: IT Operations Analyst II Work Schedule: (3 Days, noon to midnight with rotating on-call) ... Monitor and maintain data center environmental systems (power, cooling, rack management ...

Coordinate data capture for mass data loads. * Recommend system improvements based on user ... Supply Chain Operations * Continual Process Improvement * Technological/Analytical * Detail ...

Senior Financial Analyst

Salt Lake City, UT ยท On-site

$70 - $100/hr

* Involved in budgeting, strategic planning, variance, patient account and operations data, and ad-hoc analysis processes * Provides support in the development, analysis, and interpretation of a ...

Analyst, Revenue Operations 12+ Months W2 Contract Lehi, UT (hybrid) Benefits You'll Love ... product, and user data migrations. * Designs and executes reports to support accuracy ...

Showing results 21-40

Data Operations Analyst information

See Lehi, UT salary details

$31.9K

$77.6K

$127.7K

How much do data operations analyst jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data operations analyst in Lehi, UT is $77,575.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,700.00 and $91,100.00 per year, depending on experience, location, and employer.

What is a data operations analyst?

Data Operations Analysts are professionals who manage, optimize, and ensure the accuracy of data workflows within an organization. They are responsible for collecting, processing, and analyzing data to support business operations and decision-making. Their duties often include maintaining databases, troubleshooting data issues, and collaborating with other teams to improve data quality and efficiency. By ensuring data integrity and availability, Data Operations Analysts help organizations make data-driven decisions and streamline their operations.

How does a data operations analyst typically collaborate with other departments to improve data processes?

Data Operations Analysts regularly work with cross-functional teams, including IT, business intelligence, and department leads, to streamline data collection, integration, and reporting. They often serve as the bridge between technical and non-technical teams, translating business needs into actionable data solutions. Effective collaboration may involve participating in meetings to understand project requirements, troubleshooting data issues with engineering teams, and training staff on new data tools or procedures. Strong communication skills are essential, as the role requires aligning diverse stakeholders toward common data integrity goals.

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

To thrive as a Data Operations Analyst, you need strong analytical skills, proficiency in data management, and a relevant degree such as in computer science, statistics, or a related field. Familiarity with SQL, data visualization tools (such as Tableau or Power BI), and data pipeline systems is typically required, along with certifications like Microsoft Certified: Data Analyst Associate being advantageous. Attention to detail, problem-solving ability, and effective communication are essential soft skills for collaborating with cross-functional teams and ensuring data integrity. These skills and qualities are vital for maintaining accurate data flows, supporting business decisions, and driving operational efficiency.

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

AspectData Operations AnalystData Analyst
Required CredentialsBachelor's in Data Science, IT, or related field; certifications like Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related field; certifications like Microsoft Certified Data Analyst
Work EnvironmentData teams, IT departments, business operationsBusiness units, marketing, finance, or research teams
Employer & Industry UsageTech companies, finance, healthcare, retailMarketing agencies, consulting firms, finance, healthcare

While both roles involve working with data, Data Operations Analysts focus on managing data workflows, ensuring data quality, and supporting data infrastructure. Data Analysts primarily analyze data to generate insights, reports, and support decision-making. The roles often overlap but differ in their core responsibilities and focus areas.

What does a data operations analyst do?

A data operations analyst is responsible for managing, processing, and ensuring the accuracy and integrity of data within an organization. They often use tools like SQL, Excel, and data management software to support data workflows, troubleshoot issues, and optimize data systems for reporting and decision-making.

What job categories do people searching Data Operations Analyst jobs in Lehi, UT look for?

The top searched job categories for Data Operations Analyst jobs in Lehi, UT are:

What cities near Lehi, UT are hiring for Data Operations Analyst jobs?

Cities near Lehi, UT with the most Data Operations Analyst job openings:

Infographic showing various Data Operations Analyst job openings in Lehi, UT as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $77,575 per year, or $37.3 per hour.

Revenue Operations Analyst II

Lucid Software

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

Full-time

Posted 14 days ago


Job description

Lucid Software is the leader in visual collaboration and work acceleration, helping teams see and build the future by turning ideas into reality. Our products include the Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus. We hold true to our core values: innovation in everything we do, passion & excellence in every area, individual empowerment, initiative and ownership, and teamwork over ego. At Lucid, we value diverse perspectives and are dedicated to creating an environment and culture that is respectful and inclusive for everyone. Lucid is a hybrid workplace. We promote a healthy work-life balance by 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.

Since the company's founding, Lucid Software has received numerous global and regional recognitions for its products, business, and workplace culture. These include being listed to the Forbes Cloud 100, Fast Company Most Innovative Companies, Fortune Best Workplaces in Technology, and PEOPLE's Companies that Care. Lucid's solutions are used by more than 100 million users across the globe, making Lucid the most used visual collaboration platform by the Fortune 500. Our customers include Google, GE, and NBC Universal, and we partner with leaders such as Google, Atlassian, and Microsoft.ย 

We are looking for a proactive and eager analyst to help scale our Go-To-Market Operations and Strategy team through our company's growth. As a Revenue Operations Analyst, you will partner with our Go-To-Market (GTM) Operations team and Sales Leadership, to support business operating rhythms, strategic decision-making and planning, process improvement, and performance management reporting. You will play a pivotal role in translating data in actionable insights, helping our sales teams run efficiently and effectively across international markets.

Responsibilities:

  • Support and facilitate the weekly, monthly, and quarterly business operating rhythms for our Sales leadership, including preparing data readouts and assisting in assembling materials for business reviews and forecasting.
  • Partner with regional Sales leadership, leveraging data and analyses to land business insights, develop GTM strategies, and scale the business.
  • Drive strategic decision-making and planning in partnership with sales leadership: Produce analysis and recommendations that provide insight to sales leadership on key decisions impacting our business; work closely with Analytics, Finance, Customer Operations, and other cross-functional teams on annual planning.
  • Work cross-functionally with finance, marketing, business development, account teams, and demand generation teams to create a holistic view of the business for our business leaders.
  • Partner with the scaled account management team to deploy automated outreach workflows, driving significant operational efficiency and expanding account touchpoints at scale.
  • Manage the administration and execution of the sales organization's targets, including segmentation of business goals, measurement of goal attainment, evolving and driving various demand generation campaigns and proposing improvements to the business to increase its effectiveness in driving desired results.

Requirements:

  • BA/BS degree, ideally in a quantitative field such as Finance, Business, Economics, or Strategy, with an impressive track record of success.
  • 3+ years of professional experience, with ideally 1+ years in a SaaS or recurring revenue business; Revenue Operations, Business Operations, Finance, Analytics, FP&A, or other operational or quantitative role preferred.
  • Outstanding project management skills across a varied set of responsibilities in a fast-paced, high-volume environment. Self-starter and quick learner who can work independently, collaboratively, and on multiple initiatives simultaneously with a demonstrated record of driving results.
  • Detail-oriented and organized with experience in managing project plans, meeting deadlines, and proactively raising blockers or risks.
  • Customer-facing communication experience preferred.
  • Experience with process optimization and operational efficiency, and an interest in leveraging AI and automation tools to streamline workflows and build scalable solutions.
  • Natural problem solver and bias towards finding solutions vs. shutting down ideas.
  • Resourceful, innovative, and always looking for ways to drive process improvement and act as an agent for change.
  • Strong verbal and written communicator with excellent interpersonal skills to build and maintain relationships with key stakeholders.
  • Advanced proficiency in Microsoft Excel/ Google Sheets (e.g. lookups, pivot tables, complex formulas) required; experience with data analysis tools in Tableau and SQL as well as CRM tools such as Salesforce and Gong preferred.
  • Clear and concise written and verbal communication skills in English.

#LI-MK1