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Data Analysis Intern Jobs in Provo, UT (NOW HIRING)

FASHIONPHILE

Data Analyst, CX

Lehi, UT · On-site

... analysis, insight development, recommendation prioritization, data storytelling, and reporting ... Own CSAT and NPS measurement across core journey moments: (post-purchase, post-appointment, post ...

FASHIONPHILE

VoC Analyst

Lehi, UT

Design, implement, and continuously improve FASHIONPHILE's end-to-end VoC program, from survey instrument design, sampling methodology, trigger logic, and data collection to statistical analysis ...

New

Raytheon

Principal Analyst Data Manager

Provo, UT

We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do * Identifies all data deliverables made part of a contract * Builds a data track in a Product Data ...

Raytheon

Principal Analyst Data Manager

Provo, UT · On-site

We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do * Identifies all data deliverables made part of a contract * Builds a data track in a Product Data ...

Raytheon

Principal Analyst Data Manager

Provo, UT · On-site

We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do * Identifies all data deliverables made part of a contract * Builds a data track in a Product Data ...

Provo City

Student Intern - Pretreatment/Lab

Provo, UT · On-site

$15 - $17/hr

Student Intern - Pretreatment/Lab Job Posting Closing Date: 09/03 The Provo City Water Reclamation ... Collect field data; conduct laboratory tests; and perform analyses by retrieving data from ...

Provo

Student Intern - Pretreatment/Lab

Provo, UT · On-site

$15 - $17/hr

Student Intern - Pretreatment/Lab Job Posting Closing Date: 09/03 The Provo City Water Reclamation ... Collect field data; conduct laboratory tests; and perform analyses by retrieving data from ...

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How much do data analysis intern jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for data analysis intern in Provo, UT is $21.29, according to ZipRecruiter salary data. Most workers in this role earn between $16.39 and $23.17 per hour, depending on experience, location, and employer.

What does a data analysis intern do?

A data analysis intern supports a data analyst while obtaining valuable practical experience to pursue a position in the field. Your responsibilities in this position include delivering data, formatting information, querying databases for sales, marketing, accounting, and other departments, developing and updating reports, and assisting with projects when needed. Your duties also include evaluating analysis systems, collaborating with other teams, responding to requests for analysis, and investigating data discrepancies. You collect information and review the model to offer recommendations.

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

To thrive as a Data Analysis Intern, you should have a solid understanding of statistics, data management, and analytical thinking, often supported by coursework in mathematics, statistics, or a related field. Familiarity with tools like Excel, SQL, Python, or R, as well as data visualization platforms such as Tableau or Power BI, is typically expected. Attention to detail, problem-solving abilities, and effective communication help interns interpret data accurately and present insights clearly. These skills are vital for transforming raw data into actionable insights that support business decision-making.

What are some common challenges faced by data analysis interns during their internship, and how can they overcome them?

Data Analysis Interns often encounter challenges such as working with large, unstructured datasets and learning to use new analysis tools or programming languages. Navigating ambiguous project requirements and balancing multiple deadlines can also be difficult. To overcome these obstacles, interns are encouraged to proactively communicate with their mentors, seek feedback regularly, and make use of available resources such as online tutorials or internal documentation. Collaborating with teammates and asking questions fosters learning and helps interns efficiently resolve roadblocks.

What is the difference between Data Analysis Intern vs Data Analyst?

AspectData Analysis InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some certifications
Work EnvironmentInternship setting, entry-level tasks, supervisedFull-time role, more independent responsibilities
Employer & Industry UsageInternships in various industries, educational focusEstablished roles in finance, tech, healthcare, etc.
Common Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesCareer progression, skill requirements

The main difference between a Data Analysis Intern and a Data Analyst lies in experience, responsibilities, and employment status. Interns are usually students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling more complex tasks independently. Internships serve as stepping stones toward becoming a full Data Analyst.

Is a data analysis intern internship worth it?

A data analysis intern internship provides practical experience with tools like Excel, SQL, and Python, and helps develop skills in data visualization and reporting. It can enhance a resume, improve job prospects, and offer networking opportunities, making it a valuable step for those pursuing a career in data analysis.
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Infographic showing various Data Analysis Intern job openings in Provo, UT as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $44,280 per year, or $21.3 per hour.

Data Analyst, CX

FASHIONPHILE

Lehi, UT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago

Fashionphile rating

9.1

Company rating: 9.1 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

FASHIONPHILE is more than just fashion - we're revolutionizing the ultra-luxury fashion experience in order to create a sustainable alternative that extends the life cycle of products and makes them more accessible to a diverse customer base. As we strive to become the world's most sought-after brand in luxury re-commerce, we know it's our team members who make it all happen! We value diversity in our people, perspectives, and products. For us, it's the only way to cultivate the creativity and innovation essential to achieving our mission and supporting our customers. We do this both in-person and through our digital omni-channel experiences. If you're someone who embraces change, is authentic, and wants to make an impact this is the place for you.
About the Opportunity
The Data Analyst, CX builds FASHIONPHILE's Voice of the Customer infrastructure from the ground up, architecting the survey methodology, sampling strategy, and focus group programs, and turns hundreds of thousands of client interactions into a single, statistically defensible signal that drives decisions across CX leadership, Digital, Marketing, Retail, and Operations via monthly insights reports. The Data Analyst, CX maps all client journeys that make those insights meaningful in context, and pairs quantitative VoC signals with qualitative session-replay analysis to pinpoint where digital experience friction actually occurs. The right candidate is the client's proxy in internal meetings.
Responsibilities include:
  • Design, implement, and continuously improve FASHIONPHILE's end-to-end VoC program, from survey instrument design, sampling methodology, trigger logic, and data collection to statistical analysis, insight development, recommendation prioritization, data storytelling, and reporting.
  • Own CSAT and NPS measurement across core journey moments: (post-purchase, post-appointment, post-quote acceptance, post-payout, post-service), including trend analysis, statistical significance testing, and driver analysis to isolate what's actually moving the score.
  • Use Quantum Metric to review session replays and quantify digital experience opportunities - surfacing rage clicks, drop-off points, and friction patterns, and correlating them against VoC data, CSAT signals, and session-replay evidence.
  • Build and maintain client journey maps across the Shopper, Seller, and Circular (buy + sell) segments, making the end-to-end experience visible and actionable for CX, Digital, Marketing, Retail, and Operations.
  • Identify the highest-friction and highest-emotion moments across client journeys and connect them directly to VoC data and CSAT signals.
  • Produce monthly CX reports with actionable insights fit for executive-level audiences grounded in a consistent analytical framework (trend, driver, and root cause analysis).
  • Analyze root causes of escalations, refunds, and low-CSAT moments using structured methodologies (ex. thematic coding of verbatims, cohort comparison) and translate findings into prioritized, quantified recommendations.
  • Partner with Data Science on segment migration analytics and loyalty program measurement, including cohort definition and attribution logic.
  • Maintain and optimize FASHIONPHILE's Qualtrics instance, including audience-specific dashboard development, Text IQ tuning, XM Directory management, and automated workflow development.

What We're Looking For
  • 4+ years in CX analytics, customer research, or a closely related insights role.
  • Qualtrics-fluent: expertise in building role-specific CX dashboards with drill-down, filtering, and benchmarking, Stats IQ integration with Text IQ, crosstabbing verbatims by segment, channel, or touchpoint, building text-based alerts when a topic spikes, response weighting and data cleaning, survey logic design (branching, quota management, trigger-based distribution).
  • Working knowledge of digital experience analytics tools (Quantum Metric or equivalent). Able to independently pull and interpret session replays to diagnose friction.
  • Solid experience in journey mapping in a real context, having produced living artifacts used by cross-functional teams.
  • Strong quantitative fluency. Comfortable with descriptive and inferential statistics (significance testing, correlation, basic regression) as applied to survey and behavioral data.
  • Strong data storytelling skills: can translate a complex dataset into a two-slide executive summary that prompts action.
  • Experience with BI tools (Amazon QuickSight, Tableau, or equivalent) and journey mapping tools (LucidChart, Figma, or equivalent).
  • Luxury, D2C, or marketplace background preferred- understands the nuance of a luxury client experience, ideally in a two-sided or circular model.
  • Detail-oriented, accuracy-obsessed self-starter who can build in ambiguity.
  • Deep client empathy.
  • Within commuting distance of Carlsbad, CA or Lehi, UT.

What We Offer
  • Medical, Dental and Vision Coverage
  • FSA options for Medical, Dependent Care & Commuter Benefits
  • Paid Time off, Paid Sick Time, and Paid Holidays
  • 401(k) with generous match program
  • Free Life Insurance and AD&D
  • Long Term Disability Insurance
  • Employee Discount

Payscale: FASHIONPHILE reasonably expects the range to be $65,000-$75,000 for this position in our hybrid location. Offered compensation will vary based on (a) location; (b) individual candidate qualifications; and (c) individual candidate experience. This post may be updated as new market data becomes available and is accurate as of the date of this posting. FASHIONPHILE reserves the right to modify this information at any time, subject to applicable law.
FASHIONPHILE Group LLC is proud to be an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application and/or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at [email protected].

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