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Behavioral Data Analyst From Home Jobs in Mapleton, UT

Raytheon

Principal Analyst Data Manager

Provo, UT

Identifies, with help from the Program Office, the appropriate preparers, receives the data within ... Our values drive our actions, behaviors, and performance with a vision for a safer, more connected ...

Alpine School District

Psychologist

Lindon, UT · On-site

Interpret and analyze student academic and behavioral data. * Assist with the school's 504 ... Must hold, or be graduating from a Master's degree program for a Utah State License in School ...

The Jernigan Agency

WORK FROM HOME T

Provo, UT · On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales ... We use data driven systems and cutting edge lead generation that gets you connected with interested ...

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All JobsBehavioral Data Analyst JobsBehavioral Data Analyst From Home JobsBehavioral Data Analyst From Home Jobs in Mapleton, UT

Behavioral Data Analyst From Home information

See Mapleton, UT salary details

$32.1K

$78K

$128.3K

How much do behavioral data analyst from home jobs pay per year?

As of Aug 23, 2026, the average yearly pay for behavioral data analyst from home in Mapleton, UT is $77,958.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $91,500.00 per year, depending on experience, location, and employer.

What is the difference between Behavioral Data Analyst From Home vs Data Scientist From Home?

AspectBehavioral Data Analyst From HomeData Scientist From Home
Required CredentialsBachelor's in Psychology, Statistics, or related field; experience with data analysis toolsBachelor's or Master's in Computer Science, Statistics, or related; programming skills required
Work EnvironmentRemote, primarily analyzing behavioral data, reports, and insightsRemote, developing models, algorithms, and handling large datasets
Industry UsageMarket research, healthcare, tech companies focusing on user behaviorTech, finance, healthcare, and research sectors with advanced data needs
Common Search & ComparisonYesYes

Behavioral Data Analysts From Home focus on interpreting behavioral data to inform decisions, often requiring skills in statistics and psychology. Data Scientists From Home develop complex models and algorithms, requiring programming expertise. Both roles are remote and industry-relevant, but Data Scientists typically handle more technical and large-scale data projects.

What does a behavioral data analyst from home do?

A behavioral data analyst from home collects, analyzes, and interprets data related to human behaviors and patterns using statistical tools and software. They identify trends, generate reports, and provide insights to help organizations improve products, services, or marketing strategies, often working remotely with skills in data analysis, programming, and communication. The role typically requires proficiency in tools like SQL, Python, or R and may involve collaborating with cross-functional teams online.

What cities near Mapleton, UT are hiring for Behavioral Data Analyst From Home jobs?

Cities near Mapleton, UT with the most Behavioral Data Analyst From Home job openings:

Behavioral Data Analyst From Home jobs near you
Infographic showing various Behavioral Data Analyst From Home job openings in Mapleton, UT as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, and 3% Contract. Highlights an 75% Physical, 1% Hybrid, and 24% Remote job distribution, with an average salary of $77,958 per year, or $37.5 per hour.

Data Analyst, Sales and Marketing

BetterBody Foods & Nutrition

Lindon, UT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Job description

The Data Analyst transforms internal and external data into clear insights that support sales, marketing, product, and retail strategy. This role partners with teams across the company to evaluate performance, identify growth opportunities, improve reporting, and support informed decisions.
The position uses AI tools throughout the analytical process to accelerate research, develop solutions, automate routine work, and create effective deliverables. The ideal candidate is curious, detail oriented, comfortable learning new technology, and able to translate complex information into practical recommendations.
WHAT YOU'LL DO
  • Analyze sales, category, retailer, marketing, and competitive performance to identify trends, risks, and growth opportunities.
  • Gather, combine, and validate data from internal systems, syndicated data providers, distributors, retailers, ecommerce platforms, and other sources.
  • Use Codex and other AI tools to support research, write and troubleshoot SQL or code, automate workflows, and improve reporting processes.
  • Create dashboards, recurring reports, presentations, and ad hoc analyses that clearly communicate business performance.
  • Support sales and strategic projects with retailer and category insights, including assortment, market share, distribution, pricing, and product velocity.
  • Present findings and recommendations to Sales, Marketing, leadership, and other partners across the company.
  • Review analytical work and AI generated output to ensure accuracy, sound methodology, and appropriate handling of company data.

Benefits
- Opportunity for Advancement
- Quarterly Bonuses
- 12 Paid Holidays plus a Floating Holiday and PTO
- Sick Days (separate from PTO)
- Employee Discounts on Product
- 401k Match
- Medical, Dental, Vision, and Life Insurance
- HSA Match
- Employee Referral Bonus
- Clean Working Environment
Requirements
QUALIFICATIONS
  • Bachelor's degree in Data Analytics, Business, Economics, Statistics, Information Systems, Finance, or a related field, or equivalent practical experience.
  • Experience analyzing sales, marketing, retail, or other business data.
  • Experience using AI tools such as Codex, ChatGPT, Microsoft Copilot, or Gemini to support analytical, technical, or research work.
  • Strong analytical and problem solving skills, including the ability to turn an open question into a structured analysis.
  • Proficiency in Microsoft Excel or Google Sheets.
  • Working knowledge of SQL and experience with databases or cloud data warehouses.
  • Experience creating clear reports, visualizations, and presentations.
  • Strong written and verbal communication skills.
  • Ability to collaborate across teams, manage competing priorities, and meet deadlines.
  • A proactive approach and an interest in learning new tools, data sources, and business processes.

PREFERRED QUALIFICATIONS
  • Experience using Codex or similar tools to develop scripts, work with APIs, automate processes, or analyze data.
  • Experience with CPG or retail data, including syndicated, distributor, or retailer specific sources.
  • Experience with BigQuery, Looker Studio, Power BI, Tableau, or similar platforms.
  • Familiarity with market share, distribution, velocity, assortment, pricing, and other retail analytics concepts.
  • Experience creating customer facing sales presentations or data driven selling stories.

WORK ENVIRONMENT This position is primarily performed in an office environment and requires regular computer based work. The current expectation is onsite work, with any hybrid arrangement determined by company policy and business needs.

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