1

Weekend Data Analyst Jobs in Utah (NOW HIRING)

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 ...

Associate Data Analyst

Sandy, UT · On-site

$20 - $25/hr

As a Data Analyst, you'll have the opportunity to put emerging technology to work on real business problems. You'll work directly with our Chief Technology Officer to research, prototype, build, and ...

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 ...

Associate Data Analyst

Sandy, UT · On-site

$20 - $25/hr

As a Data Analyst, you'll have the opportunity to put emerging technology to work on real business problems. You'll work directly with our Chief Technology Officer to research, prototype, build, and ...

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 ...

Associate Data Analyst

Sandy, UT · On-site

$20 - $25/hr

As a Data Analyst, you'll have the opportunity to put emerging technology to work on real business problems. You'll work directly with our Chief Technology Officer to research, prototype, build, and ...

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 ...

Data Analyst

Salt Lake City, UT · Remote

$400 - $1.5K/wk

JOB TYPE Full time Admin Non-voice RESPONSIBILITIES: * Determining the nature of incoming emails and prioritizing them according to their importance * Screening incoming emails to determine whether ...

Be Seen First

Digital/Web Data Analyst Job Summary As a Web Data Analyst, you will be a key player on the University of Utah Marketing and Communication's Digital Team, reporting directly to the Associate Director ...

Showing results 21-40

Weekend Data Analyst information

See Utah salary details

$31K

$75.2K

$123.8K

How much do weekend data analyst jobs pay per year?

As of Sep 15, 2026, the average yearly pay for weekend data analyst in Utah is $75,233.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,900.00 and $88,300.00 per year, depending on experience, location, and employer.

What is a weekend data analyst?

Weekend Data Analysts are professionals who specialize in collecting, processing, and analyzing data during weekends. They often work in industries that require continuous data monitoring or reporting, such as retail, finance, or customer service. Their responsibilities include preparing reports, identifying trends, and supporting decision-making processes outside of regular business hours. This role is ideal for organizations that need real-time data analysis or have operations extending through weekends.

What does a weekend data analyst do?

As a weekend data analyst, you work part-time and use analysis techniques to research trends and discover useful information from data. This job emphasizes getting results and creating reports from data, although the specific responsibilities of this position vary depending on the employer's needs. One of the most common duties of this job is working over the weekend to process data gained throughout the week to prepare a report summarizing the activity for that period. Companies that operate seven days a week often employ weekend data analysts to continue any data analysis tasks from earlier in the week, allowing the organization to function with no interruptions in its data analysis activities.

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

To thrive as a Weekend Data Analyst, you need a strong background in statistical analysis, data interpretation, and a relevant degree in fields such as mathematics, statistics, or computer science. Familiarity with analytical tools like Excel, SQL, Python, or data visualization platforms such as Tableau is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for clearly presenting insights and collaborating remotely. These skills ensure timely, accurate analysis and enable data-driven decisions during weekend operations.

What does a typical weekend shift look like for a weekend data analyst, and how do responsibilities differ from weekday analysts?

As a Weekend Data Analyst, you’ll often work independently or with a smaller team, focusing on real-time data monitoring, reporting, and rapid issue escalation. Weekend shifts can involve handling time-sensitive data tasks, supporting ongoing operations, and preparing summary reports for weekday teams. While core analytical skills remain the same, you may need to troubleshoot urgent data anomalies and ensure smooth handovers to weekday analysts. This role is ideal for individuals comfortable with autonomy and proactive communication.

What is the difference between Weekend Data Analyst vs Part-Time Data Analyst?

AspectWeekend Data AnalystPart-Time Data Analyst
CredentialsBachelor's in Data Science, Statistics, or related field; often some experienceSimilar credentials; may require less experience or specific certifications
Work EnvironmentTypically on-site or remote, working during weekends or specific hoursFlexible hours, can work weekdays or weekends, often remote
Employer & IndustryBusinesses needing weekend analysis, retail, healthcare, or financeVarious industries, including retail, marketing, and consulting
Search & Comparison IntentLooking for weekend-specific data rolesSeeking flexible or part-time data analysis jobs

The Weekend Data Analyst and Part-Time Data Analyst roles share similar credentials and work environments but differ mainly in scheduling. Weekend Data Analysts focus on weekend-specific hours, often for businesses needing weekend support, while Part-Time Data Analysts have flexible hours across the week. Both roles suit candidates seeking flexible work arrangements in data analysis.

Can you be a weekend data analyst as a side hustle?

Weekend data analysts can often work part-time or freelance schedules, making it feasible to pursue as a side hustle. They typically analyze data using tools like Excel, SQL, or Python, and may need to coordinate with their primary job to ensure availability during weekends. Flexibility depends on employer policies and project deadlines.

What are the most commonly searched types of Data Analyst jobs in Utah?

The most popular types of Data Analyst jobs in Utah are:

What are popular job titles related to Weekend Data Analyst jobs in Utah?

For Weekend Data Analyst jobs in Utah, the most frequently searched job titles are:

What cities in Utah are hiring for Weekend Data Analyst jobs?

Cities in Utah with the most Weekend Data Analyst job openings:

Infographic showing various Weekend Data Analyst job openings in Utah as of August 2026, with employment types broken down into 57% Full Time, 11% Temporary, and 32% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $75,233 per year, or $36.2 per hour.

Data Analyst, CX

Lehi, UT • On-site

Fashionphile
Jewelry, Luggage, and Leather Goods Stores • 201 - 500 employees

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 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 VoC Analyst 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.

#J-18808-Ljbffr

What Fashionphile employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom