ZipRecruiter

Log In

2

Entry Level Data Jobs in Midvale, UT (NOW HIRING)

Snap Finance

Data Analyst I

West Valley City, UT · On-site

The Data Analyst I is an entry-level analytics professional responsible for collecting, analyzing, and interpreting data to help drive informed business decisions across Snap's portfolio. This role ...

Collabera

Data Analyst

Salt Lake City, UT · Hybrid

Recommended Experience Entry-level position into Business Analysis functional domain. May have prior experience as a Programmer and/or Service Delivery Engineer within a technical delivery/support ...

Nextiny

Entry Level Digital Marketer

West Jordan, 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.

Pwc

Data Engineer - Senior Associate

Salt Lake City, UT

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

next page

Showing results 1-20

All JobsData JobsEntry Level Data JobsEntry Level Data Jobs in Midvale, UT

Entry Level Data information

See Midvale, UT salary details

$10

$18

$26

How much do entry level data jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for entry level data in Midvale, UT is $18.37, according to ZipRecruiter salary data. Most workers in this role earn between $15.43 and $20.62 per hour, depending on experience, location, and employer.

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

AspectEntry Level DataData Analyst
Required CredentialsHigh school diploma or associate's; some roles may prefer certificationsBachelor's degree in data-related fields; certifications like SQL or Excel often preferred
Work EnvironmentEntry-level roles in various industries, often in office settings or remoteOffice-based, collaborative environment; may involve client interaction
Employer & Industry UsageFound across industries; entry positions for those starting in data rolesCommon in finance, healthcare, marketing, and tech sectors

Entry Level Data roles are typically for individuals starting their data careers with basic skills and minimal experience, often focusing on data entry or simple analysis. Data Analysts usually have more specialized training and experience, handling complex data analysis, reporting, and insights. Both roles are essential in data-driven organizations, but Data Analysts generally require a higher skill set and educational background.

What are entry level data jobs?

Entry level data jobs are positions designed for individuals who are new to the data field, often requiring minimal professional experience. These roles may include titles such as Data Analyst, Data Coordinator, or Junior Data Scientist. Responsibilities typically involve data cleaning, basic analysis, reporting, and supporting more senior data professionals. Entry level data jobs are a great way to build foundational skills in data manipulation, visualization, and interpretation using tools like Excel, SQL, or Python. They are commonly found in industries such as finance, healthcare, retail, and technology.

What types of projects or tasks are typically assigned to entry-level data professionals during their first year?

Entry-level data professionals often start by working on data cleaning, validation, and basic analysis tasks, helping to ensure data quality and accuracy for the team. They may assist with preparing reports, creating simple visualizations, or supporting more senior analysts with larger projects. These tasks help build foundational skills in data manipulation and provide exposure to the company's data systems and tools. Collaboration with other team members, such as analysts, engineers, and business stakeholders, is common and fosters a supportive learning environment.

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 foundational skills in data analysis, statistics, and problem-solving, typically supported by a relevant degree such as in mathematics, statistics, or computer science. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms (e.g., Tableau or Power BI) is often required, along with basic programming knowledge in Python or R. Strong attention to detail, analytical thinking, and effective communication are valuable soft skills for interpreting and sharing data-driven insights. These abilities are important to accurately analyze data, support business decisions, and collaborate with team members across departments.
What cities near Midvale, UT are hiring for Entry Level Data jobs? Cities near Midvale, UT with the most Entry Level Data job openings:
Entry Level Data jobs near you
Data Analyst I

Data Analyst I

Snap Finance

West Valley City, UT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Job description

Company Overview:
At Snap Finance, we believe everyone deserves access to the things they need, regardless of credit history. Since 2012, we've used data, machine learning, and a more human approach to create flexible financing solutions that help people move forward. We're proud of our inclusive, supportive culture, built on empowering our customers, partners, and team members alike. When our people thrive, so does our innovation.
If you're looking to make an impact and grow with a team that values you, come join us!
Job Description
The Data Analyst I is an entry-level analytics professional responsible for collecting, analyzing, and interpreting data to help drive informed business decisions across Snap's portfolio. This role partners with stakeholders across the organization to develop reports, dashboards, and actionable insights that improve operational efficiency and business performance. The ideal candidate is curious, detail-oriented, and passionate about transforming data into meaningful recommendations.
How you'll make an impact:
  • Collect, analyze, and interpret data from multiple sources to support business initiatives and decision-making.
  • Develop and maintain reports, dashboards, and visualizations that provide actionable insights to stakeholders.
  • Assist in identifying trends, patterns, and opportunities within large datasets.
  • Collaborate with business teams to understand reporting requirements and translate them into analytical solutions.
  • Support data validation, quality assurance, and governance efforts to ensure data accuracy and reliability.
  • Perform ad hoc analyses to answer business questions and support strategic initiatives.
  • Document reporting processes, methodologies, and business definitions.
  • Partner with cross-functional teams to improve reporting capabilities and operational efficiencies.
  • Present findings and recommendations to both technical and non-technical audiences.
  • Continuously learn and apply new analytical techniques, tools, and best practices.

What you'll need to succeed:
  • Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, Economics, or a related field.
  • 0-2 years of experience in data analysis, business intelligence, reporting, or related analytical work.
  • Experience in SQL, Python, and/or R for querying and analyzing data. AI tool utilization is also a plus.
  • Understanding of data analysis concepts, statistical methods, and reporting best practices.
  • Strong analytical and problem-solving skills.
  • Ability to communicate insights clearly to technical and non-technical stakeholders.
  • Strong attention to detail and commitment to data accuracy.
  • Ability to manage multiple priorities in a fast-paced environment.

What would make you stand out:
  • Experience with Python, R, or another analytical programming language.
  • Experience building dashboards in Tableau, R, Studio, or Python.
  • Exposure to ETL processes, data warehousing, or data modeling concepts.
  • Knowledge of statistical analysis, A/B testing, or predictive analytics.
  • Experience working with large datasets and complex business problems.
  • Internship experience in analytics, finance, technology, or related industries.
  • Curiosity for uncovering insights and driving data-informed decision making.
  • Experience working in cross-functional team environments.
  • Passion for continuous learning and professional development.

Why Join Us:
  • Generous paid time off
  • Competitive medical, dental & vision coverage
  • 401K with company match for US
  • Company-paid life insurance
  • Company-paid short-term and long-term disability
  • Access to mental health and wellness resources
  • Company-paid volunteer time to do good in your community
  • Legal coverage and other supplemental options
  • A value-based culture where growth opportunities are endless

More:
Snap values diversity and all qualified applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Learn more by visiting our website at www.snapfinance.com.
California Residents, please review our California Consumer Privacy Act Notice at https://snapfinance.com/ccpa-notice

Apply