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Afternoon Data Analyst R Programming Jobs in Lehi, UT

Staff Data Analyst

Draper, UT ยท On-site

$123.80 - $174.70/hr

Partner with product and engineering leaders across the AI program to define and own the metrics ... We'd Love to Chat if You Have * 5 or more years of experience in a data analyst role within a ...

New

Pricing Data Analysts are expected to take on special long-term projects aimed at solving key ... SciKit Learn, SAS, R, MATLAB) * Knowledge in statistics and mathematical concepts (e.g: hypothesis ...

We are seeking a Data Analyst - API to maintain the API-based data integrations that connect ... Partner with engineering, data platform, and product teams to meet diverse data requirements across ...

New

Data Science Tutor

Provo, UT ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Spanish Fork, UT ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Product Data Analyst

Salt Lake City, UT ยท Remote

$145K - $175K/yr

Our data engineering team owns the pipelines; you'll focus on the analysis, the recommendation, and the decision that follows. What you'll own The metrics that run the business. You'll own the ...

Data Strategy-Manager

Salt Lake City, UT ยท On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Data Scientist

Lehi, UT ยท On-site

$90 - $130/hr

... engineers, product teams, subject-matter experts, and stakeholders on end-to-end analytical ... Exposure to R or other data science and statistical tools * Experience with Power BI, Tableau, or ...

Showing results 21-40

Afternoon Data Analyst R Programming information

See Lehi, UT salary details

$31.9K

$77.6K

$127.7K

How much do afternoon data analyst r programming jobs pay per year?

As of Aug 20, 2026, the average yearly pay for afternoon data analyst r programming in Lehi, UT is $77,575.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,700.00 and $91,100.00 per year, depending on experience, location, and employer.

What is an afternoon data analyst r programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are the key skills and qualifications needed to thrive as an afternoon data analyst specializing in R programming?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.

What are some common challenges faced by afternoon data analysts working with R programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What job categories do people searching Afternoon Data Analyst R Programming jobs in Lehi, UT look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Lehi, UT are:

What cities near Lehi, UT are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Lehi, UT with the most Afternoon Data Analyst R Programming job openings:

Infographic showing various Afternoon Data Analyst R Programming job openings in Lehi, UT as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 14% Part Time, 3% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $77,575 per year, or $37.3 per hour.

Staff Data Analyst

Socket.dev

Draper, UT โ€ข On-site

$123.80 - $174.70/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Innovate with purpose

At BILL, we believe in empowering the businesses that drive our economy. By replacing outdated financial processes with innovative tools, we help businessesโ€”from startups to established brandsโ€”make smarter decisions and gain control of their operations. And we donโ€™t stop there: weโ€™re creating the future of financial automation so businesses can spend more time on what matters.

Working here means you become part of a vision-driven team thatโ€™s ready to tackle challenges and build cutting-edge solutions. We value purpose, drive, and curiosityโ€”and we thrive in a fast-paced, ever-changing environment. Whether in one of our offices in San Jose, CA, Draper, UT, or in a remote-eligible role, BILLders collaborate to deliver real impact for businesses that need more time in their busy weeks.

BILL builds high performing teams and we seek to hire the best talent for every role. We're committed to building a workplace that fosters inclusion and diverse perspectives, valuing each personโ€™s unique skills and experiences. Weโ€™d love to hear from youโ€”you might be just what weโ€™re looking for, whether in this role or another.

Letโ€™s give businesses more time for what matters.

Make your impact within a rapidly growing Fintech Company

Join BILL as a Staff Data Analyst and help shape the future of AI-native financial management for small and midsize businesses. You will partner closely with the team building BILL.AI, our platform's AI program and shared foundation, working alongside product, engineering, and design leaders to define what success looks like as we transform BILL from a "do-it-with-me" tool into a "do-it-for-you" platform.

This role sits at the intersection of a genuinely new product domain and a cross-functional analytics challenge. You will be defining metrics for AI-powered workflows that do not have established benchmarks, measuring accuracy and trust in a domain where both are critical, and helping teams across Payments, Growth, and AP Product align around a shared understanding of how AI is performing across the BILL platform. The right candidate brings the rigor of a seasoned analyst, the technical depth to build AI-powered analytics systems, and the curiosity of someone energized by ambiguity and first-principles thinking.

Responsibilities
  • Partner with product and engineering leaders across the AI program to define and own the metrics framework for BILL.AI, establishing the KPIs that matter: automation rates, no-touch workflow completion, AI accuracy, customer trust signals, and engagement across interaction channels including in-product, SMS, and Slack.
  • Conduct deep-dive analyses that go beyond surface-level dashboards, decomposing the drivers behind AI adoption and drop-off, identifying where the platform is building customer trust and where it is losing it, and surfacing findings that directly inform roadmap prioritization.
  • Build AI-augmented analytics systems that scale insight generation across the program, including LLM-powered tooling for synthesizing qualitative signals, automating insight extraction, and surfacing patterns that traditional analytics methods cannot efficiently capture at volume.
  • Serve as the analytical connective tissue across the AI program, working cross-functionally with teams spanning Integrated Experiences, APARAC Product, Payments, and Growth to ensure consistent metric definitions, avoid duplicated instrumentation, and enable reliable self-serve analytics.
  • Design and analyze experiments in new territory, building frameworks that allow teams to run rigorous tests even where there is no historical precedent, including studies of automation acceptance, AI transparency, and interaction model preferences.
  • Build scalable, reusable analytics infrastructure including dbt models, dashboards, and standardized metric definitions that serve multiple teams and reduce duplicated work across the analytics organization.
  • Translate complex AI performance signals into clear narratives and recommendations for Director and VP-level stakeholders, influencing decisions with data and defending analytical conclusions with confidence.
  • Mentor and develop junior and mid-level analysts on the team, providing technical feedback, guidance on problem-scoping, and support in navigating a complex cross-functional program environment.
We'd Love to Chat if You Have
  • 5 or more years of experience in a data analyst role within a technology-driven or fintech environment.
  • A demonstrated track record of building metrics frameworks from the ground up in ambiguous, fast-moving product areas.
  • Advanced proficiency in SQL, and familiarity with Python for analysis
  • Experience with dbt and data modeling, including designing reusable, production-grade data assets consumed by multiple teams.
  • Experience building or integrating with LLM APIs (such as OpenAI, Gemini, or Anthropic) to create scalable, AI-powered analytics workflows.
  • Strong experience with A/B testing and experiment design, including comfort operating in domains where controlled experimentation is limited.
  • Excellent data quality instincts, with experience identifying inconsistencies at the source rather than only in downstream reporting.
  • Strong written and verbal communication skills, with the ability to present analytical findings and recommendations to senior leadership with clarity and confidence.
  • A degree in a quantitative field such as Statistics, Data Science, Mathematics, Economics, or Computer Science.
Desired Qualifications
  • Experience applying NLP or LLM-based techniques to analyze qualitative data at scale, such as customer feedback, transcripts, or survey responses.
  • Background in financial operations, fintech, or payments data domains.
  • Experience in a cross-functional analytics role where influence extended beyond a single feature team or reporting structure.
  • Familiarity with AI workflow automation tooling such as n8n or similar platforms.

The estimated salary range for this role is noted below for our San Jose based role. Our ranges for each role and job level are based on a variety of factors including candidate experience, expertise, and geographic location and may vary from the amounts listed above. The role is also eligible for a competitive benefits package that includes: medical, dental, vision, life and disability insurance, 401(k) retirement plan, flexible spending & health savings account, paid holidays, paid time off, and other company benefits.

San Jose pay range

$145,600 โ€” $174,700 USD

The estimated base salary range for this role is noted below for our office location in Draper, UT. Additionally, this role is eligible to participate in BILLโ€™s bonus and equity plan. Our ranges for each role and job level are based on a variety of factors including candidate experience, expertise, and geographic location and may vary from the amounts listed above. The role is also eligible for a competitive benefits package that includes: medical, dental, vision, life and disability insurance, 401(k) retirement plan, flexible spending & health savings account, paid holidays, paid time off, and other company benefits.

Draper UT pay range

$123,800 โ€” $148,500 USD

Whatโ€™s in it for you?

Redefining how businesses automate their work is a fast-paced, exciting, and fun environment. But we also have benefits and perks to ensure the magic isnโ€™t only experienced by our customers, but by our employees as well.

Here is a preview of some of the amazing benefits here at BILL:

  • 100% paid employee health, dental, and vision plans (choose HMO, PPO, or HDHP)
  • HSA & FSA accounts
  • Life Insurance, Long & Short-term disability coverage
  • Employee Assistance Program (EAP)
  • 11+ Observed holidays and wellness days and flexible time off
  • Employee Stock Purchase Program with employee discounts
  • Wellness & Fitness initiatives
  • Employee recognition and referral programs
  • And much more

Donโ€™t believe us? Check out our culture, benefits, and teams on our career site, LinkedIn Life, or YouTube pages.

BILL is an Equal Opportunity Employer. We believe our best ideas come from the unique stories, perspectives, and experiences of our team members. We welcome people of all backgrounds, abilities, and identities to bring their authentic selves and contribute to our culture.

We are committed to a transparent, inclusive hiring process that reflects our values. If you need accommodations at any stage, please contact interviewaccommodations@hq.bill.com. To ensure a fair evaluation, our Candidate Integrity Policy prohibits the use of unapproved external assistance, including generative AI, during live interviews or assessments. Doing so will result in a review and potential disqualification.

Our Applicant Privacy Notice describes how BILL treats the personal information it receives from applicants.

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