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Entry Level Data Analyst Jobs in Provo, UT (NOW HIRING)

Swig Support Team

Supply Chain Analyst

Sandy, UT

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 ...

Raytheon

Data Management I - (Onsite)

Provo, UT

The Configuration and Data Management Department is seeking an entry-level candidate for a Data Manager to work within the Data Management and Execution section. What You Will Do * Identifies all ...

Nextiny

Entry Level Digital Marketer

Orem, UT · On-site

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

CenCore LLC

Part Time HR Intern

Springville, UT · On-site

$13.75 - $18.50/hr

The Entry-Level HR Assistant will provide essential administrative support to the HR department ... data analysis as required. * Maintain HR-related files and documentation in a well-organized and ...

IntelliSource

Realty Project Coach

South Jordan, UT · On-site

$60K - $110K/yr

... from entry-level roles all the way to executive positions. Thanks to our unique mix of career ... data analysis, or related area OR 3 years of experience in project management, space management ...

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Entry Level Data Analyst information

See Provo, UT salary details

$12

$31

$58

How much do entry level data analyst jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for entry level data analyst in Provo, UT is $31.15, according to ZipRecruiter salary data. Most workers in this role earn between $20.00 and $34.81 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data analysts and data scientists can start at any age, including 40, as long as they develop relevant skills such as programming, statistics, and data visualization. Many professionals successfully transition into data roles later in their careers by gaining certifications and practical experience.

Can you work as a data analyst without experience?

Entry level data analyst positions often do not require prior professional experience, but having skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

What does an Entry Level Data Analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

What is the difference between Entry Level Data Analyst vs Data Scientist?

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

Can I be a data analyst with no experience?

Entry level data analyst positions often do not require prior professional experience, but having foundational skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

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, communication, and domain knowledge that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace entry-level data analysts.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types: business analysts, who focus on understanding business needs; data scientists, who develop advanced models and algorithms; data engineers, who build and maintain data pipelines; and operations analysts, who optimize processes using data insights. Entry-level data analysts often start with business or operations analysis, developing skills in tools like Excel, SQL, and visualization software.

What Does an Entry-Level Data Analyst Do?

The job duties of an entry-level data analyst include working to collect, manage, and analyze data. In this career, your responsibilities often revolve around performing research on business or industry data to define trends or assess performance in a particular sector. As an entry-level data analyst, you usually work as part of a team of analysts and statisticians who analyze data and then create reports to show their findings to relevant executives, stakeholders, and managers. In some situations, this analysis team may recommend actions based on research results.

Can a data analyst be entry-level?

Yes, entry-level data analyst positions are common and typically require basic skills in data analysis tools like Excel, SQL, or Python, along with a relevant degree such as in statistics, mathematics, or computer science. These roles often focus on learning and developing analytical skills under supervision and may require little to no prior professional experience.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst, and why are they important?

To thrive as an Entry Level Data Analyst, you need strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.
More about Entry Level Data Analyst jobs
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What job categories do people searching Entry Level Data Analyst jobs in Provo, UT look for? The top searched job categories for Entry Level Data Analyst jobs in Provo, UT are:
What cities near Provo, UT are hiring for Entry Level Data Analyst jobs? Cities near Provo, UT with the most Entry Level Data Analyst job openings:
Entry Level Data Analyst jobs near you
Infographic showing various Entry Level Data Analyst job openings in Provo, UT as of July 2026, with employment types broken down into 46% Full Time, 18% Part Time, 6% Temporary, and 30% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $64,786 per year, or $31.1 per hour.

Supply Chain Analyst

Swig Support Team

Sandy, UT

Full-time

Re-posted 4 days ago

Job description

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, and other critical supply chain metrics. This role is perfect for someone starting their career in supply chain or data analytics, who is a self-starter, eager to learn, grow, and contribute to a fast-paced, dynamic environment.

How You'll Make an Impact:

  • Supply Chain Data Management & Integration:
    • Ensure supply chain data in systems such as order management, pricing, and inventory tools is accurate and compliant with agreements.
    • Support project management initiatives integrating supply chain processes with internal and external stakeholders.
    • Write and maintain Standard Operating Procedures (SOPs) as new responsibilities and processes are defined in the Supply Chain group.
    • Work with distributors to manage proper phase in/out of inventory.
  • Supply Chain Auditing:
    • Audit and continuously monitor supply chain pricing to ensure correct costs to restaurants.
    • Collaborate with Supply Chain partners to correct any pricing inaccuracies.
    • Ensure order guides and the Swig store list are accurate and up to date.
    • Partner with Finance on end-of-month reporting.
  • Data Auditing & Credits:
    • Input and maintain accurate supply chain data in systems.
    • Update LTO forecasting data and execute weekly data pulls for external forecasting tasks.
    • Communicate with internal and external parties to ensure correct supply chain information.Work with final mile distribution partners, stores, and Finance to ensure credits owed to Swig are properly managed.
    • Process invoices for the company and franchise owners accurately, identifying and communicating issues.
    • Learn and apply pricing compliance and audit functions as needed.
  • Supply Chain Tools & Reporting:
    • Maintain store lists and item lists in supply chain systems.
    • Manage reporting from Sysco and update supply chain systems accordingly.
    • Monitor and update project management tools, including ticketing boards and CHR inventory workbooks.
    • Research Operations and Supply Chain questions and respond with urgency and accuracy using Swig tools.
    • Resolve Freshdesk tickets through order platforms and supply chain systems.
    • Leverage supply chain tools to identify root causes of issues and implement corrections efficiently.
    • Post and review feedback from Supply Chain groups regarding LTOs and reporting accuracy.
    • Ensure products are stocked in our final mile network and investigate items that have changed to non-stock status for appropriate action.

What You'll Bring to the Role:

  • Eagerness to start a career in supply chain, operations, or data analytics.
  • Self-starter mentality with the ability to take initiative and work independently.
  • Technical aptitude and willingness to learn supply chain and analytics tools.
  • Strong analytical and problem-solving skills to audit, monitor, and interpret supply chain data.
  • Ability to collaborate effectively with internal teams, stores, distribution partners, and Finance.
  • Attention to detail and a commitment to accuracy.
  • Bachelor's degree in Supply Chain, Business, Data Analytics, or related field preferred; relevant internships or coursework a plus.
  • No prior professional experience required, though 0-2 years in supply chain, analytics, or operations is helpful.

Who We Are:

Swig is the fastest growing and most successful drink brand in America, going viral on TikTok with users driving miles away for the dirty soda. Swig's employees are at the core of all we do, offering unique opportunities and delightful teams who create happiness one cup at a time

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