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Data Analyst Data Science Jobs in Draper, UT (NOW HIRING)

We are seeking a Data Analyst - API to maintain the API-based data integrations that connect ... Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent ...

... science project requirements, scope, and deliverables. * Conduct in-depth data exploration, analysis, and visualization to identify trends, patterns, and anomalies, presenting findings clearly and ...

... science project requirements, scope, and deliverables. * Conduct in-depth data exploration, analysis, and visualization to identify trends, patterns, and anomalies, presenting findings clearly and ...

... science project requirements, scope, and deliverables. * Conduct in-depth data exploration, analysis, and visualization to identify trends, patterns, and anomalies, presenting findings clearly and ...

... science project requirements, scope, and deliverables. * Conduct in-depth data exploration, analysis, and visualization to identify trends, patterns, and anomalies, presenting findings clearly and ...

Strong Python proficiency and experience with common data science libraries (e.g. pandas, scikit-learn, statsmodels) * Familiarity with designing and analyzing A/B tests, with working knowledge of ...

New

We are seeking a Data Analyst - API to maintain the API-based data integrations that connect ... Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent ...

The Director, Data Science - Competitive Intelligence, AI Insights & Strategic Analytics is a highly visible leadership role responsible for transforming internal, external, structured, and ...

Strong Python proficiency and experience with common data science libraries (e.g. pandas, scikit-learn, statsmodels) * Familiarity with designing and analyzing A/B tests, with working knowledge of ...

You'll own the analytical foundation that makes our recommendation system measurable, improvable ... This is a data science role, not an ML engineering role. Day one is about analytical rigor: metrics ...

You'll own the analytical foundation that makes our recommendation system measurable, improvable ... This is a data science role, not an ML engineering role. Day one is about analytical rigor: metrics ...

... data science or cross-disciplinary team on commercially-facing development projects, typically ... Develop analytics to address customer needs and opportunities. Work alongside software developers ...

... data science or cross-disciplinary team on commercially-facing development projects, typically ... In this role, you will: • Develop analytics to address customer needs and opportunities. • Work ...

We are seeking a Data Analyst - API to maintain the API-based data integrations that connect ... Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent ...

Together, we push the boundaries of known science and find new ways to connect and protect our ... We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do

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Data Analyst Data Science information

See Draper, UT salary details

$31.8K

$77.3K

$127.1K

How much do data analyst data science jobs pay per year?

As of Sep 15, 2026, the average yearly pay for data analyst data science in Draper, UT is $77,256.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,400.00 and $90,700.00 per year, depending on experience, location, and employer.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are popular job titles related to Data Analyst Data Science jobs in Draper, UT?

For Data Analyst Data Science jobs in Draper, UT, the most frequently searched job titles are:

What job categories do people searching Data Analyst Data Science jobs in Draper, UT look for?

The top searched job categories for Data Analyst Data Science jobs in Draper, UT are:

What cities near Draper, UT are hiring for Data Analyst Data Science jobs?

Cities near Draper, UT with the most Data Analyst Data Science job openings:

Data Analyst - API

South Jordan, UT • On-site

Full-time

Posted 28 days ago


Job description

We are seeking a Data Analyst - API to maintain the API-based data integrations that connect Lightspeed's DMS platform with OEMs, aftermarket manufacturers, and internal teams. This individual will implement and support RESTful API integrations and reporting solutions, partnering closely with engineering, data platform, and cross-functional teams to keep dealer data flowing accurately across all Lightspeed data platforms. 

This role has direct impact on dealer-facing data integrity: the integrations this person builds and maintains determine whether OEM programs, manufacturer data feeds, and dealer reporting are accurate and timely. The role combines hands-on API development with data analysis and reporting and requires close collaboration with internal and external technical stakeholders. 

What You'll Do 

API Development & Integration 

  • Support and help maintain RESTful API integrations connecting Lightspeed's DMS platform to OEM systems, aftermarket manufacturer data feeds, and internal platforms. 
  • Troubleshoot and resolve API connectivity, authentication, and data flow issues for internal and external clients, including OEM and dealer partners. 
  • Document API integration specifications and data mappings for internal and partner-facing use. 

Reporting & Data Solutions 

  • Build and support customized reporting solutions using SQL (Microsoft and Postgres) and Power BI. 
  • Perform data classification and validation to ensure accuracy and security across dealer and OEM datasets. 

Client & Partner Support 

  • Support internal and external client inbound requests related to API integrations and data feeds. 
  • Collaborate with OEM and aftermarket manufacturer technical contacts to gather and validate integration requirements. 

Cross-Functional Collaboration 

  • Partner with engineering, data platform, and product teams to meet diverse data requirements across sales, parts, service, rentals, and accounting modules. 
  • Explore and adopt new tools and techniques across SQL, APIs, SSIS, and Power BI. 
What You Should Have 

Required Qualifications 

  • Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent practical experience. 
  • Working knowledge of RESTful API design, development, and integration. 
  • Proficiency with Microsoft SQL; familiarity with PostgreSQL. 
  • Experience with Python, Node.JS, and/or SSIS for building data pipelines. 
  • Exposure to dealer, franchise, or vertical SaaS business models, or strong interest in learning the dealer/OEM data ecosystem. 
  • Strong problem-solving and communication skills. 

Preferred Qualifications 

  • Experience with Power BI or SSRS reporting. 
  • Prior experience integrating with OEM, manufacturer, or partner-facing APIs. 
  • Interest in the Powersports, Marine, RV, Trailer, Outdoor Power Equipment, or Golf Cart industries.