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Data Analyst Startup Jobs in Utah (NOW HIRING)

Data Engineer

Lehi, UT ยท On-site

$107K - $129K/yr

Standardize analytics workflows by integrating software engineering best practices, including ... This is a unique opportunity to join a fast-growing, VC-backed tech startup. You will be part of a ...

Data Engineer

Lehi, UT

$107K - $129K/yr

Standardize analytics workflows by integrating software engineering best practices, including ... This is a unique opportunity to join a fast-growing, VC-backed tech startup. You will be part of a ...

Data Engineer

Lehi, UT

$107K - $129K/yr

Standardize analytics workflows by integrating software engineering best practices, including ... This is a unique opportunity to join a fast-growing, VC-backed tech startup. You will be part of a ...

Background Verification Analyst

Lehi, UT ยท On-site

$15.05 - $23.08/hr

Since 2003, Entrata has evolved from a visionary, student-led startup into a global leader in AI ... Analyze and review background check data with accuracy and efficiency. * Communicate effectively ...

Background Verification Analyst

Lehi, UT ยท On-site +1

$15.05 - $23.08/hr

Since 2003, Entrata has evolved from a visionary, student-led startup into a global leader in AI ... Analyze and review background check data with accuracy and efficiency. * Communicate effectively ...

What We're Looking For * 2+ years of experience in data or file migration, data analysis, or a ... Act Startup Fast - We know the best way to become a world-class company is to always act like a ...

What We're Looking For * 2+ years of experience in data or file migration, data analysis, or a ... startup: fast, hungry, intense, and scrappy. But especially fast. To learn more about us & our ...

What We're Looking For * 2+ years of experience in data or file migration, data analysis, or a ... Act Startup Fast - We know the best way to become a world-class company is to always act like a ...

Strong analytical and critical thinking abilities, with a data-driven approach to decision-making * Ability to thrive in a fast-paced, dynamic startup environment * Eagerness to learn, adapt, and ...

Strong analytical and critical thinking abilities, with a data-driven approach to decision-making * Ability to thrive in a fast-paced, dynamic startup environment * Eagerness to learn, adapt, and ...

Strong analytical and critical thinking abilities, with a data-driven approach to decision-making * Ability to thrive in a fast-paced, dynamic startup environment * Eagerness to learn, adapt, and ...

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Experience working in a startup environment or high-growth company is often preferred. Continuous ...

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Experience working in a startup environment or high-growth company is often preferred. Continuous ...

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Experience working in a startup environment or high-growth company is often preferred. Continuous ...

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Experience working in a startup environment or high-growth company is often preferred. Continuous ...

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Experience working in a startup environment or high-growth company is often preferred. Continuous ...

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Showing results 1-20

Data Analyst Startup information

See Utah salary details

$31K

$75.2K

$123.8K

How much do data analyst startup jobs pay per year?

As of Jun 28, 2026, the average yearly pay for data analyst startup in Utah is $75,233.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,900.00 and $88,300.00 per year, depending on experience, location, and employer.

What are some challenges a Data Analyst might face when working in a startup environment?

Data Analysts in startups often encounter rapidly shifting priorities and limited resources, which require them to adapt quickly and independently manage their work. You may find yourself setting up new data processes from scratch, dealing with incomplete datasets, or balancing multiple projects at once. Collaboration is frequent, as you'll typically work closely with founders, product managers, engineers, and marketers to deliver actionable insights. This environment fosters valuable learning opportunities and skill development, but it also demands flexibility, resourcefulness, and a willingness to take on diverse tasks.

What are the key skills and qualifications needed to thrive in the Data Analyst Startup position, and why are they important?

To thrive as a Data Analyst at a startup, you need strong quantitative skills, proficiency in data manipulation and statistical analysis, and often a degree in a related field like mathematics, statistics, or computer science. Familiarity with tools like SQL, Python, R, Excel, and data visualization platforms such as Tableau or Power BI is highly beneficial, as is experience with cloud-based data storage. Adaptability, problem-solving, and excellent communication skills set standout candidates apart in this fast-paced environment. These capabilities are crucial because startup Data Analysts often wear multiple hats, working cross-functionally to extract actionable insights that directly influence business decisions.

What is a Data Analyst Startup job?

A Data Analyst in a startup is responsible for collecting, analyzing, and interpreting data to help drive business decisions. Unlike in larger companies, startup data analysts often wear multiple hats, working with raw, unstructured data, building dashboards, and providing strategic insights. They collaborate closely with product, marketing, and engineering teams to optimize processes and improve business performance. The role requires strong analytical skills, proficiency in SQL, Python, or R, and the ability to adapt quickly to a fast-paced environment. Since startups have fewer resources, data analysts must be proactive, resourceful, and comfortable with ambiguity.

What are the most commonly searched types of Data Analyst Startup jobs in Utah? The most popular types of Data Analyst Startup jobs in Utah are:
What job categories do people searching Data Analyst Startup jobs in Utah look for? The top searched job categories for Data Analyst Startup jobs in Utah are:
Infographic showing various Data Analyst Startup job openings in Utah as of June 2026, with employment types broken down into 59% Full Time, 10% Part Time, and 31% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $75,233 per year, or $36.2 per hour.
Data Engineer

Data Engineer

Neighbor

Lehi, UT โ€ข On-site

$107K - $129K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago


Job description

At Neighbor, we're building the largest hyperlocal marketplace the world has ever seen. We've raised over $75 million from top-tier investors such as Andreessen Horowitz and the CEOs of DoorDash, StockX, and Uber. Our marketplace is already flourishing in all 50 states and we're just getting started!
As a Data Engineer, you will be the core engineering resource responsible for building, scaling, and optimizing the data infrastructure that transforms raw events into high-fidelity, actionable intelligence. You will pioneer a foundation of engineering excellence, enabling the entire organization to make reliable, data-driven decisions at scale across all 50 states.
This engineering resource will be the cornerstone of our data infrastructure, responsible for extraction, transform, and load of the data that powers our nation-wide, best-in-class marketplace. By implementing software engineering best practices and scalable solutions, this role is critical in empowering the CEO, executive team, managers, and individual contributors with the robust and trustworthy intelligence needed to scale and innovate across our marketplace.
Primary Responsibilities
  • Design, implement, and maintain scalable data transformation layers and code-first orchestration frameworks to ensure the delivery of high-fidelity, reusable data models
  • Design and build robust pipelines to ingest data from diverse sources (APIs, logs, relational DBs)
  • Ensure the reliable and timely execution of all critical data pipelines (ETLs/ELTs) to maintain data integrity and freshness
  • Standardize analytics workflows by integrating software engineering best practices, including version control, CI/CD pipelines, and automated data validation protocols
  • Develop and refine a robust semantic layer to facilitate self-service analytics, enabling stakeholders to derive insights without exposure to underlying architectural complexities
  • Monitor and optimize cloud compute utilization and data model performance to ensure high availability and low-latency reporting during periods of rapid data scaling
  • Serve as a strategic technical partner to leadership across Product, Engineering, Marketing, and Finance to align data infrastructure with organizational objectives
  • Become a subject matter expert on the product ecosystem, user behavior, and marketing life cycles to better translate raw data into business value
  • Serve as a versatile technical resource capable of stepping into the Data Analyst capacity when necessary-performing deep-dive quantitative analysis and building sophisticated visualizations to support executive decision-making
  • Mentor the data analytics team on advanced technical methodologies to foster a culture of engineering excellence and data autonomy

Qualifications
  • 3+ years of experience in data engineering or analytics engineering
  • Bachelor's degree in quantitative and/or technical fields (Math, Physics, Statistics, Economics, Computer Science, Engineering, etc.) OR 5+ years work experience as a Data Engineer
  • Expert-level mastery of SQL, with the ability to write, tune, and optimize complex queries for high-volume environments
  • Strong command of at least one major programming language used for data processing
  • Hands-on experience designing and maintaining data lakes or cloud-based data warehouses
  • Deep understanding of data integration patterns, including data ingestion, transformation, and automated cleansing (ETL/ELT)
  • Experience applying scientific, mathematical, or statistical techniques to analyze data and build predictive models
  • Advanced ability to translate complex datasets into actionable narratives using modern business intelligence and reporting tools
  • A proven track record of using quantitative analysis to solve ambiguous problems and drive strategic decision-making in a fast-paced environment
  • Exceptional ability to collaborate with non-technical stakeholders, translating business requirements into technical specs and vice versa

Benefits
  • Generous Stock options
  • Medical, dental, and vision insurance
  • Generous PTO
  • 11 paid company holidays
  • 401(k) plan
  • Infant care leave
  • On-site gym/showers open 24/7

About Neighbor:
Neighbor is the largest and most comprehensive marketplace for self storage and parking, with listings in almost every U.S. city. From storage facilities to neighborhood garages, driveways, and RV spots, Neighbor brings every option together in one simple search. Come help us disrupt the $500 billion storage and parking industry! This is a unique opportunity to join a fast-growing, VC-backed tech startup. You will be part of a an extremely talented, hardworking and passionate team committed to changing the world one neighbor at a time.
Neighbor is an equal opportunity employer and is committed to providing a positive interview experience for every candidate. If accommodations due to a disability or medical condition are needed, connect with us via email at [email protected]. Check out our careers page to get to know us better as you think about your next step at Neighbor!
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.