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Data Analyst Jobs in Lindon, UT (NOW HIRING)

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 ...

We are seeking a Data Analyst - API to maintain the API-based data integrations that connect Lightspeed's DMS platform with OEMs, aftermarket manufacturers, and internal teams. This individual will ...

We are seeking a Data Analyst - API to maintain the API-based data integrations that connect Lightspeed's DMS platform with OEMs, aftermarket manufacturers, and internal teams. This individual will ...

We are seeking a Data Analyst - API to maintain the API-based data integrations that connect Lightspeed's DMS platform with OEMs, aftermarket manufacturers, and internal teams. This individual will ...

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 ...

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 ...

Senior EO Sensor Data Analyst Engineer

Provo, UT · On-site

$100K - $136K/yr

The Effector-Optics (EO) Department is looking for a Senior EO Sensor Analyst / Engineer to develop and implement structured and robust data analysis tools to support production Tier II Exo ...

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Data Analyst information

See Lindon, UT salary details

$30.7K

$74.5K

$122.7K

How much do data analyst jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data analyst in Lindon, UT is $74,543.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,400.00 and $87,500.00 per year, depending on experience, location, and employer.

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.

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 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.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

What are the most commonly searched types of Data Analyst jobs in Lindon, UT?

The most popular types of Data Analyst jobs in Lindon, UT are:

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

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

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

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

Infographic showing various Data Analyst job openings in Lindon, UT as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $74,543 per year, or $35.8 per hour.

Data Analyst, CX

FASHIONPHILE

Lehi, UT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 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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