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Data Analyst Jobs in Provo, UT (NOW HIRING)

We are looking for a detail-oriented and proactive Entry-Level Supply Chain Data Analyst to ensure that our supply chain data accurately reflects inventory levels, product information, order guides ...

ABOUT THIS POSITION The Data Operations Analyst is responsible for ensuring the accuracy, completeness, and integrity of payment funding and settlement across Waystar's Payment Facilitator ecosystem.

Data Analyst / ETL Tester Location: Midvale, UT Duration: Fulltime Salary Range - $110,000 - $115,000 a year Must Have Technical/Functional Skills: * dvanced SQL experience; ability to build basic ...

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Data Analyst information

See Provo, UT salary details

$32.3K

$78.4K

$129K

How much do data analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for data analyst in Provo, UT is $78,388.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,300.00 and $92,000.00 per year, depending on experience, location, and employer.

What Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

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 relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

How much does an entry level data analyst make?

Entry-level data analysts typically earn between $55,000 and $70,000 annually, depending on the industry and location. Starting salaries may be higher with relevant skills in SQL, Excel, and data visualization tools like Tableau or Power BI.

What jobs make $3,000 a month without a degree?

Data analysts can sometimes earn around $3,000 per month with relevant skills in data visualization, Excel, and basic statistical tools, even without a formal degree. Entry-level roles or freelance work in data analysis, digital marketing, or customer support may also reach this income level, especially with experience and certifications. However, salaries vary based on location, industry, and skill level.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are the most commonly searched types of Data Analyst jobs in Provo, UT? The most popular types of Data Analyst jobs in Provo, UT are:
What job categories do people searching Data Analyst jobs in Provo, UT look for? The top searched job categories for Data Analyst jobs in Provo, UT are:
What cities near Provo, UT are hiring for Data Analyst jobs? Cities near Provo, UT with the most Data Analyst job openings:
Infographic showing various Data Analyst job openings in Provo, UT as of May 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $78,388 per year, or $37.7 per hour.
Lead Data Analyst - CX Strategy (Remote)

Lead Data Analyst - CX Strategy (Remote)

Kforce Technology Staffing

Draper, UT • Remote

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


Job description

RESPONSIBILITIES:
Kforce has a client that is seeking a Data Analyst - CX Strategy for a remote role.
Overview:
We are seeking a highly hands-on Senior/Lead Data Analyst to support Customer Experience (CX) Strategy and Insights initiatives across key customer and client journeys. This role is ideal for a proactive, execution-focused analyst who can quickly ramp up, operate independently, and turn complex customer experience data into actionable business outcomes.
The ideal candidate combines strong analytical skills with deep experience in CX measurement, Voice of Customer (VoC), digital journey analytics, and modern analytics platforms such as Qualtrics, Databricks, and Power BI. Experience leveraging AI-enabled capabilities within analytics and CX platforms is strongly preferred.
Key Responsibilities:
  • Own end-to-end CX and journey analytics across key member and client experiences, including digital behavior, contact drivers, and operational performance
  • Design, implement, and optimize transactional listening programs within Qualtrics or similar CX platforms

Develop and manage:
  • Transactional surveys
  • Digital intercepts
  • Session replay instrumentation and behavioral tagging
  • Analyze VoC, operational, contact center, and digital analytics data to identify customer friction points, repeat contacts, and experience gaps
  • Translate insights into actionable recommendations with clearly defined owners, measurable outcomes, and execution tracking

Deliver recurring CX reporting and business reviews including:
  • KPI trends and variance analysis
  • Root cause insights
  • Action plans and expected business impact
  • Build structured work tracking processes to ensure visibility into initiatives, priorities, owners, progress, and outcomes

Create executive-ready insight deliverables, newsletters, and deep-dive analyses highlighting:
  • Customer pain points
  • Journey gaps
  • Operational inefficiencies
  • Opportunities for improvement

REQUIREMENTS:
  • Bachelor's degree in Analytics, Data, Technology, Business, or related field

4-7+ years of experience in:
  • CX analytics
  • Product analytics
  • Journey analytics
  • Customer insights
  • Strong hands-on experience with Qualtrics or similar CX/VoC platforms

Experience implementing and managing:
  • Transactional surveys
  • Digital intercepts
  • Session replay/behavioral analytics

Strong experience analyzing:
  • NPS/CSAT/Voice of Customer data
  • Contact center metrics (repeat contact, call drivers, AHT)
  • Digital funnel and journey analytics

Advanced experience with modern analytics and reporting tools such as:
  • Power BI
  • Databricks
  • SQL
  • Demonstrated ability to connect customer experience signals to measurable operational and business outcomes
  • Proven ability to independently structure work, prioritize initiatives, and execute with minimal oversight
  • Strong communication and stakeholder management skills

Preferred Qualifications:
  • Experience leveraging AI-enabled analytics capabilities within platforms such as Qualtrics, Databricks, Power BI, or similar tools
  • Experience using AI-assisted insights, automation, predictive analytics, or intelligent reporting features within modern data and CX platforms
  • Experience working in enterprise-scale customer experience environments
  • Prior experience in highly cross-functional organizations involving Product, Operations, and Technology teams

Ideal Candidate Profile:
  • Go-getter mentality with the ability to hit the ground running
  • Highly hands-on and execution-oriented
  • Comfortable navigating ambiguity and driving outcomes independently
  • Strong analytical storyteller who can move from insight to action
  • Detail-oriented with strong organizational and execution discipline

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.