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Web Scraping Jobs in Utah (NOW HIRING)

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Python Tutor

Provo, UT · Remote

$40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Python Tutor

Logan, UT · Remote

$40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

... web scraping, APIs). - Experience writing VBA macros a plus. - Experienced and comfortable collaborating remotely. Omnicom's policy requires employees to work in the office for a minimum of three ...

... web scraping, APIs). - Experience writing VBA macros a plus. - Experienced and comfortable collaborating remotely. *Omnicom's policy requires employees to work in the office for a minimum of three ...

... web scraping, APIs). - Experience writing VBA macros a plus. - Experienced and comfortable collaborating remotely. Omnicom's policy requires employees to work in the office for a minimum of three ...

Web Scraping information

See Utah salary details

$10

$53

$78

How much do web scraping jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for web scraping in Utah is $53.72, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $60.82 per hour, depending on experience, location, and employer.

What is web scraping?

Web scraping is the automated process of extracting data from websites. It involves using software tools or scripts to collect information from web pages, which can then be saved and analyzed for various purposes. Web scraping is commonly used for market research, price monitoring, data aggregation, and academic research. However, it's important to respect website terms of service and legal considerations when scraping data.

What are web scraping jobs?

Web scraping jobs involve using specialized software and web crawling tools to extract data from websites. This data is extracted for competitor analysis, market trends, pricing research, and other information that can help businesses improve their performance. As a data engineer, your responsibilities are to understand and use these tools or use manual techniques to collect information. Your duties also include creating or troubleshooting web scraping tools, analyzing the data you obtain, and passing the information on to the appropriate leaders of a company. You can find these positions with technology companies that offer web scraping services to clients.

What are the key skills and qualifications needed to thrive as a web scraping specialist, and why are they important?

To thrive as a Web Scraping Specialist, you need strong programming skills in languages like Python, knowledge of HTML/CSS, and an understanding of data extraction techniques. Familiarity with tools and frameworks such as BeautifulSoup, Scrapy, Selenium, and sometimes APIs or browser automation is typically required. Attention to detail, problem-solving, and ethical judgment are important soft skills that help navigate complex data sources and legal considerations. These skills ensure efficient, accurate, and compliant collection of large-scale data critical for analytics and business intelligence.

What are some common challenges faced by web scraping professionals, and how are they typically addressed?

Web scraping professionals often encounter challenges such as dealing with websites that use dynamic content loading, anti-scraping measures like CAPTCHAs, or frequent changes to site structure. To overcome these, they may use headless browsers, rotating proxies, and advanced parsing techniques to mimic human behavior and adapt quickly to site updates. Collaborating with legal and compliance teams is also important to ensure all data collection respects relevant laws and website terms of service.

What is the difference between Web Scraping vs Data Analyst?

AspectWeb ScrapingData Analyst
Required SkillsProgramming, data extraction, scriptingData interpretation, statistical analysis, visualization
Work EnvironmentTechnical, often remote, involves codingOffice or remote, involves analysis and reporting
Tools & TechnologiesPython, BeautifulSoup, ScrapyExcel, SQL, Tableau, R
Industry UsageData collection for research, marketing, SEOBusiness insights, reporting, decision-making

Web Scraping focuses on extracting data from websites using programming skills, while Data Analysts interpret and analyze data to generate insights. Both roles require analytical thinking but differ in technical focus and end goals.

What are popular job titles related to Web Scraping jobs in Utah?

For Web Scraping jobs in Utah, the most frequently searched job titles are:

Infographic showing various Web Scraping job openings in Utah as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $111,735 per year, or $53.7 per hour.

Director, Analytics - B2B Growth

West Valley City, UT • On-site

Snap Finance
Finance and Insurance • 1 - 5K employees

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

Company Overview:

At Snap Finance, we believe everyone deserves access to the things they need, regardless of credit history. Since 2012, we've used data, machine learning, and a more human approach to create flexible financing solutions that help people move forward. We're proud of our inclusive, supportive culture, built on empowering our customers, partners, and team members alike. When our people thrive, so does our innovation. If you're looking to make an impact and grow with a team that values you, come join us!

Job Description

Join the Consumer Growth Analytics team at Snap, where we leverage data to accelerate revenue and partner growth across the business. We’re seeking a senior leader to own analytics for a broad range of revenue-driving teams—including SMB Sales, Large Market Sales, Strategic Partnerships, Sales Ops, Rev Ops, and B2B Marketing. In this high-impact role, you’ll lead forecasting, opportunity sizing, and partner performance analysis; support enterprise deal development with market intelligence and RFP analytics; and improve lead qualification and onboarding efficiency to better serve our core ALICE customer (Asset Limited, Income Constrained, Employed). This is a strategic, cross-functional role on a collaborative, high-ownership team where innovative thinking, partnership, and measurable impact are the standard.

How you’ll make an impact:Strategic Sales Analytics for Partner Growth

Identify and quantify opportunities across existing and potential partners, including whitespace analysis and share-of-wallet opportunity sizing. Develop and own frameworks for tracking and improving key sales performance metrics across partner lifecycle stages—from onboarding through growth and retention. Serve as a strategic partner to RevOps, Sales Leadership, Partner Strategy, and B2B Marketing, providing the analytical foundation for revenue-driving initiatives.

Large Market & Enterprise Team Support

Conduct partner-level forecasting to project performance based on historical trends, cohort modeling, and macroeconomic indicators. Lead market research and prospect intelligence efforts for potential enterprise partnerships, including: Web scraping and secondary data gathering to assess market footprint, business scale, and potential vertical integration. Estimating current and potential volume and revenue impact for use in executive-level partnership pitches. Collaborate with sales team members to produce high-impact, data-driven materials in response to RFPs, including tailored opportunity sizing and performance projections.

SMB Sales & Growth Optimization

Design lead scoring and qualification models to improve top-of-funnel lead quality and reduce disqualification rates. Partner with SMB Sales and Customer Success teams to identify behavioral and operational signals for successful onboarding and partner retention. Support territory planning, rep-level performance optimization, and resource allocation across inside sales, field teams, and customer success groups. Analyze marketing and sales funnel effectiveness to drive improvements in campaign targeting, messaging, and ROI.

Campaign, Funnel & Lifecycle Analytics

Analyze B2B marketing campaign effectiveness across acquisition, onboarding, and retention, with a focus on optimizing lifetime value. Build predictive models for churn risk, engagement trends, and bottlenecks in the sales funnel. Evaluate the impact of onboarding, training, and enablement initiatives on partner performance and revenue contribution.

Predictive Modeling & Advanced Analytics

Collaborate with Data Science teams to build and deploy machine learning models for lead prioritization, partner segmentation, location-based targeting, and behavior forecasting. Apply advanced techniques such as probabilistic matching, multi-touch attribution, and geographic optimization to enhance partner insights.

Experimentation & Strategic Testing

Design and evaluate experiments aimed at improving sales performance, partner onboarding, product adoption, and campaign strategy. Synthesize experimental results into actionable insights that improve conversion rates and increase sales team effectiveness.

What you’ll need to succeed:

10+ years of experience in analytics, strategy, or growth roles within B2B, fintech, or financial services environments, with demonstrated success across both enterprise and SMB sales models. Proven ability to generate revenue impact through analytics in sales, marketing, and partner growth contexts. Deep experience supporting enterprise partnership development—including forecasting, RFP response analytics, and market research. Strong understanding of lead qualification, funnel conversion, and lifecycle management in SMB contexts. Expertise in SQL and familiarity with Python or R for analytics and predictive modeling; ability to partner effectively with Data Engineering and Data Science teams. Experience conducting web scraping and third-party data acquisition for market intelligence and strategic research. Proficiency with modern analytics tools (e.g., Snowflake, dbt, Tableau, Looker, Amplitude). Excellent storytelling, communication, and executive influence skills; capable of turning complex data into business-aligned insights. Bachelor’s degree in a quantitative field (e.g., Statistics, Economics, Engineering); Master’s degree or MBA preferred.

Why Join Us:
  • Generous paid time off
  • Competitive medical, dental & vision coverage
  • 401K with company match for US
  • Company-paid life insurance
  • Company-paid short-term and long-term disability
  • Access to mental health and wellness resources
  • Company-paid volunteer time to do good in your community
  • Legal coverage and other supplemental options
  • A value-based culture where growth opportunities are endless

Snap values diversity and all qualified applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Learn more by visiting our website at www.snapfinance.com.

California Residents, please review our California Consumer Privacy Act Notice at https://snapfinance.com/ccpa-notice

Our Mission and Success are creating opportunities.

As this Snap team continues to grow, we are selecting the most talented individuals to join and contribute - our continued success depends on it!

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