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Remote Winter Internship Data Analyst Jobs in Roy, UT

Audiohook

Data Scientist

Eden, UT · On-site +1

Role Overview The Data Scientist will own the measurement science behind Audiohook\'s performance ... analysis, code, and write-ups while maintaining methodological rigor What We Offer * Fully remote ...

Audiohook

Demand Generation Manager

Eden, UT · Remote

Develop and maintain the marketing tech stack (CRM, marketing automation, intent data, analytics ... Communicate clearly and proactively in a remote-first environment Qualifications Required * 5+ ...

Draper

Program Finance Analyst 3

Clearfield, UT · On-site +1

$82K - $220K/yr

Provides the financial data inputs, analysis, and applicable variance narrative for Program ... Remote Job Location - State: Minnesota Job Location - Postal Code: 55101 The US base salary range ...

KēSTA I.T.

Application Architect

Salt Lake City, UT · Remote

This position is Remote : We Are Seeking an experienced Application Architect to lead the discovery ... data visualization, analytics, workflow management, and system integrations. The ideal candidate ...

Bristol Hospice

Procurement Director

Salt Lake City, UT · On-site +1

$85K - $130K/yr

Remote opportunity with the ability to work on-site. If you live local to the Bristol Hospice ... Experience analyzing spend data and identifying cost optimization opportunities * Ability to ...

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All JobsWinter Data Analyst JobsRemote Winter Internship Data Analyst JobsRemote Winter Internship Data Analyst Jobs in Roy, UT

Remote Winter Internship Data Analyst information

See Roy, UT salary details

$11

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$40

How much do remote winter internship data analyst jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for remote winter internship data analyst in Roy, UT is $21.46, according to ZipRecruiter salary data. Most workers in this role earn between $16.49 and $23.37 per hour, depending on experience, location, and employer.

What is the difference between Remote Winter Internship Data Analyst vs Remote Winter Internship Business Analyst?

AspectRemote Winter Internship Data AnalystRemote Winter Internship Business Analyst
Required CredentialsBasic knowledge of data analysis tools, Excel, SQL, possibly some coursework in statistics or data scienceUnderstanding of business processes, basic data analysis, and communication skills
Work EnvironmentPrimarily focused on data collection, cleaning, and analysis; often involves working with datasets and analytics toolsFocuses on understanding business needs, process improvement, and communicating insights to stakeholders
Employer & Industry UsageUsed across tech, finance, marketing, and consulting firms for data-driven decision makingCommon in corporate, consulting, and finance sectors for strategic planning and process optimization

The Remote Winter Internship Data Analyst role emphasizes data manipulation, analysis, and technical skills, while the Business Analyst internship centers on understanding business operations and communicating insights. Both roles are valuable in data-driven industries but differ in focus and skill requirements.

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Remote Winter Internship Data Analyst jobs near you

Data Scientist

Audiohook

Eden, UT • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Re-posted 17 days ago

Job description

Role Overview

The Data Scientist will own the measurement science behind Audiohook\'s performance audio advertising platform. You\'ll design and run incrementality tests, build and maintain marketing mix models, and apply causal analysis to quantify how Audiohook drives outcomes for advertisers. This role combines hands-on modeling with the opportunity to shape how we prove value to customers, sharpen our bidding and optimization systems, and influence product direction. You\'ll collaborate closely with Engineering, Product, Sales, and Customer Success to ensure measurement isn\'t just statistically sound but operationally useful.

Key ResponsibilitiesMarketing Measurement & Causal Inference

  • Design and run incrementality experiments (geo, ghost bidding, holdout, PSA) that quantify Audiohook\'s lift for advertisers

  • Build, maintain, and evolve marketing mix models (MMM) and multi-touch attribution analyses across customer campaigns

  • Apply causal inference methods — difference-in-differences, synthetic controls, instrumental variables, propensity scoring — to questions that can\'t be answered with RCTs

  • Translate measurement results into clear narratives for advertisers, internal stakeholders, and the product team

Modeling & Analysis

  • Partner with Engineering on the data and modeling layer that powers bidding, pacing, and optimization decisions

  • Develop and validate predictive models that improve campaign performance and platform efficiency

  • Instrument experiments and analyses for reproducibility, monitoring, and ongoing measurement quality

Cross-Functional Collaboration

  • Partner with Sales and Customer Success on measurement studies for priority accounts and renewals

  • Partner with Product on roadmap inputs grounded in causal evidence, not just descriptive data

  • Present findings to advertisers, internal teams, and leadership in clear, decision-ready formats

  • Communicate clearly and proactively in a remote-first environment

QualificationsRequired

  • Bachelor\'s or Master\'s degree in Statistics, Economics, Data Science, Computer Science, or related quantitative field

  • 3–5 years of applied data science experience with a focus on marketing measurement — incrementality, MMM, attribution, or causal analysis

  • Hands-on experience designing and analyzing experiments (A/B, geo, holdout) in a marketing or advertising context

  • Strong fluency in Python (pandas, statsmodels, scikit-learn, PyMC, or similar) and SQL

  • Solid grounding in statistical inference, regression, and causal methods

  • Ability to communicate technical results to non-technical audiences — advertisers, sales, leadership

  • Excellent attention to detail and intellectual honesty about model limitations

Preferred

  • Experience in adtech, digital advertising, or media measurement

  • Experience with Bayesian methods or Bayesian MMM frameworks (e.g., PyMC-Marketing, LightweightMMM, Robyn)

  • Experience working with large-scale ad event data (impressions, clicks, conversions) and modern data stacks (e.g., Iceberg, Snowflake, BigQuery)

  • Experience in a startup or high-growth company

  • Comfort using AI tools to accelerate exploratory analysis, code, and write-ups while maintaining methodological rigor

What We Offer

  • Fully remote work environment

  • Competitive salary and equity opportunities

  • Performance bonuses

  • Health, dental, and vision benefits

  • Other benefits such as daily lunch stipend, monthly wifi, cell phone and subscription reimbursement, and annual hardware stipend

  • Flexible PTO and remote-friendly culture

  • Bi-annual Corporate Offsites

  • Opportunity to help shape a function at a rapidly scaling tech company

Apply