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Data Analyst In Creative Industries Jobs in Utah

We value diversity in our people, perspectives, and products. For us, it's the only way to ... The Data Analyst, CX maps all client journeys that make those insights meaningful in context, and ...

We value diversity in our people, perspectives, and products. For us, it's the only way to ... About the Opportunity The Data Analyst, CX builds FASHIONPHILE's Voice of the Customer ...

Act with Integrity - We hold ourselves to the highest ethical standards in all of our business practices. Doma is looking for a Senior Data Analyst to own and evolve Looker, the business intelligence ...

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Typically requires a bachelor's degree in information systems and three (3) to five (5) years of ... Motion Industries offers an excellent benefits package which includes options for healthcare ...

We've raised $175M in funding from leading investors like Andreessen Horowitz (a16z), Index ... Creative problem-solving skills; you search for solutions that solve our customers' needs that may ...

You'll do this in partnership with the Account Management team, Engineering team, and Customer ... Creative problem-solving skills; you search for solutions that solve our customers' needs that may ...

... in the company depends on. This is a senior individual-contributor / player-coach role with four direct reports: a Data Quality Analyst (filled), a Data Analyst for Operations, a Data Analyst for ...

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Data Analyst In Creative Industries information

What does a data analyst do in the creative industries?

A Data Analyst in the creative industries gathers, processes, and interprets data to help organizations make informed decisions about content, marketing, and audience engagement. They work with data from various sources such as social media, sales, audience metrics, and digital platforms to identify trends and measure the effectiveness of creative projects. Their insights help creative teams optimize campaigns, target the right audiences, and improve the overall impact of their work. By turning complex data into actionable recommendations, they bridge the gap between creativity and business strategy.

What are the key skills and qualifications needed to thrive as a data analyst in the creative industries?

To thrive as a Data Analyst in Creative Industries, you need strong analytical skills, a solid understanding of data visualization, and proficiency in statistics, usually supported by a relevant degree in data science, statistics, or a related field. Experience with tools like Excel, SQL, Tableau, Python, and familiarity with creative-specific platforms or datasets is highly valuable. Creativity, effective communication, and the ability to collaborate with both technical and non-technical teams help you bridge the gap between data and creative decision-making. These skills are essential for translating complex data into actionable insights that drive innovation and strategic direction in creative environments.

How does a data analyst in the creative industries typically collaborate with designers and content creators?

A Data Analyst working in creative industries often serves as a bridge between raw data and the creative team’s decision-making processes. They collaborate closely with designers, marketers, and content creators by translating analytics into actionable insights, such as identifying audience preferences or optimizing campaign performance. Regular meetings, brainstorming sessions, and clear communication are key, as analysts must convey complex data findings in ways that inform creative strategies without stifling innovation. This collaborative approach helps ensure that creative outputs are both data-driven and aligned with brand goals.

What is the difference between Data Analyst In Creative Industries vs Data Scientist In Creative Industries?

AspectData Analyst In Creative IndustriesData Scientist In Creative Industries
Required CredentialsBachelor's in Data, Statistics, or related field; proficiency in Excel, SQL, visualization toolsBachelor's or higher in Data Science, Computer Science, or related; knowledge of machine learning, programming languages like Python or R
Work EnvironmentCreative agencies, media companies, advertising firmsTech-driven creative firms, media companies, entertainment industry
Employer & Industry UsageCommonly employed for analyzing campaign data, audience insightsUsed for predictive modeling, advanced analytics, and developing AI solutions

While both roles analyze data within creative industries, Data Analysts focus on interpreting data to inform campaigns and strategies, whereas Data Scientists develop complex models and algorithms to extract deeper insights and predictive analytics.

What are popular job titles related to Data Analyst In Creative Industries jobs in Utah?

For Data Analyst In Creative Industries jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Data Analyst In Creative Industries jobs in Utah look for?

The top searched job categories for Data Analyst In Creative Industries jobs in Utah are:

What cities in Utah are hiring for Data Analyst In Creative Industries jobs?

Cities in Utah with the most Data Analyst In Creative Industries job openings:

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 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 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.

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