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Data Analyst Python Sql Jobs in Utah (NOW HIRING)

UnitedHealth Group

Senior Data Analyst - Remote

Draper, UT · On-site +1

$80.40K - $101.40K/yr

Leverage Python (e.g., pandas, NumPy) to perform advanced data analysis, automation, validation, and feature engineering, complementing SQL-based workflows and improving analytical efficiency

Crumbl

Data Analyst

Provo, UT · On-site

Adept understanding of SQL required * Adept understanding of Excel required. * Knowledge of ... Python/R is preferred but not required. Benefits & Perks - Medical, dental, and vision benefits ...

Crumbl

Data Analyst

Provo, UT

Adept understanding of SQL required * Adept understanding of Excel required. * Knowledge of ... Python/R is preferred but not required. Benefits & Perks - Medical, dental, and vision benefits ...

Crumbl

Data Analyst

Provo, UT · On-site

Adept understanding of SQL required * Adept understanding of Excel required. * Knowledge of ... Python/R is preferred but not required. Benefits & Perks - Medical, dental, and vision benefits ...

Navitas Semiconductor

Title: Sales Ops Data Analyst In Office /Remote: /Hybrid Exempt / Non-exempt Based: Manila ... Comprehensive mastery of SQL (Database Design/Management), Python/R , Power BI , Excel VBA , and ...

Conservice

Data & Business Analyst

Logan, UT · On-site

Perform complex data analysis, statistical modeling, and predictive analytics using SQL, R, and Python. * Build and maintain dashboards, reports, and visualizations in Power BI to ensure clarity ...

New

Nuvia MSO LLC

Analytics Engineer

Salt Lake City, UT

$70K - $85K/yr

Build and maintain ETL pipelines moving data from silver to gold layers using Python, SQL, and ... Data Analyst role. * Strong SQL skills -- writes clean, optimized queries with a solid ...

Conservice

Data & Business Analyst

Logan, UT · On-site

... SQL, R, and Python. Qualifications : Required : • Proven experience managing or leading a team of analysts in a fast-paced, data-driven environment. • Strong analytical skills with deep ...

New

Inside Real Estate

Senior Data Analyst

Murray, UT · On-site +1

$80.80K - $101.90K/yr

Strong proficiency in data analysis tools such as SQL and programming languages such as Python or R, with demonstrated ability to write efficient queries and build reproducible data pipelines to ...

Conservice

Data & Business Analyst

River Heights, UT

Perform complex data analysis, statistical modeling, and predictive analytics using SQL, R, and Python. * Build and maintain dashboards, reports, and visualizations in Power BI to ensure clarity ...

New

Brady

Jr. Data Analyst

Salt Lake City, UT

We are seeking a detail-oriented Jr. Data Analyst to serve as the operational backbone of our sales ... This is an ideal role for an analytical professional looking to grow their skills in SQL, Tableau ...

Upbound

Data Engineer IV - AI & Data Products

Draper, UT

$107K - $128.50K/yr

... SQL Analysts, Data Scientists and AI use cases/agents. * Create and maintain data domain assets (pipelines/ETLs, sematic models and other assets) using Python, SQL, and other approved tools. * Build ...

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Data Analyst Python Sql information

What are the key skills and qualifications needed to thrive as a Data Analyst with Python and SQL, and why are they important?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

How does a Data Analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What are Data Analyst Python SQL jobs?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

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What job categories do people searching Data Analyst Python Sql jobs in Utah look for? The top searched job categories for Data Analyst Python Sql jobs in Utah are:
What cities in Utah are hiring for Data Analyst Python Sql jobs? Cities in Utah with the most Data Analyst Python Sql job openings:
Data Analyst Python Sql jobs near you
Infographic showing various Data Analyst Python Sql job openings in Utah as of May 2026, with employment types broken down into 5% As Needed, 57% Full Time, 8% Part Time, 28% Contract, and 2% Nights. Highlights an 67% Physical, 11% Hybrid, and 22% Remote job distribution.
Part-Time Data Analyst Technician (Manufacturing Systems / Computer Science Focus)

Part-Time Data Analyst Technician (Manufacturing Systems / Computer Science Focus)

Campbell Soup Company

Richmond, UT • On-site

$18.95/hr

Part-time

Medical, Dental, Retirement

Posted 9 days ago

Job description

Since 1869, we've connected people through food they love. We're proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell's brand, as well as Cape Cod, Chunky, Goldfish, Kettle Brand, Lance, Late July, Pacific Foods, Pepperidge Farm, Prego, Pace, Rao's Homemade, Snack Factory, Snyder's of Hanover. Swanson, and V8.
Here, you will make a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us.
Job Title: Part-Time Data Analyst Technician (Manufacturing Systems / Computer Science Focus)
Location: Richmond Ut.
Job Type: Part-Time
Department: Operations / Continuous Improvement / IT
Reports To: Manager of Continuous Improvement
Position Summary
We are seeking a Part-Time Data Analyst Technician with a strong computer science and data analytics background. This role will focus on transforming manufacturing and operational data into actionable insights through Power BI dashboards, Python automation, SQL data management, and DAX-based analytics.
The ideal candidate is highly analytical, comfortable working with manufacturing data, and capable of building automated data pipelines and visualizations that support real-time operational decision-making, productivity tracking, and continuous improvement initiatives.
Key Responsibilities -
Data Analytics & Visualization:
Develop and maintain Power BI dashboards and reports to monitor manufacturing performance, productivity, downtime, and quality metrics.
Write and optimize DAX measures and calculated columns to support advanced operational analytics.
Transform raw manufacturing data into meaningful visualizations for leadership and production teams.
Build automated reporting solutions to support daily production reviews and Redzone performance tracking.
Data Engineering & Programming:
Write Python scripts to automate data extraction, transformation, and reporting processes.
Design and maintain SQL queries, stored procedures, and database structures for operational data.
Integrate data from Redzone MES, ERP systems, spreadsheets, and other manufacturing data sources.
Manufacturing Systems Implementation :
Support implementation and rollout of the Redzone Manufacturing Execution System (MES).
Assist with data integration, data validation, and dashboard creation tied to Redzone data streams.
Help design KPI structures aligned with Lean Manufacturing and Continuous Improvement principles.
Support real-time data visibility initiatives on the production floor.
Data Quality & Optimization:
Ensure accuracy and consistency of manufacturing data used for reporting.
Develop tools to validate, clean, and standardize data sources.
Identify opportunities for automation and process improvement through data analytics.
Required Qualifications:
Current coursework in Computer Science, Data Analytics, Information Systems, or related field (or equivalent experience).
Strong experience with Power BI including:
Data modeling
Dashboard creation
Power Query
Strong DAX coding skills.
Proficiency in Python programming for data analysis and automation.
Experience writing complex SQL queries and working with relational databases.
Strong analytical and problem-solving skills.
Ability to translate data into clear operational insights.
Preferred Qualifications
Experience working with Manufacturing Execution Systems (MES) or production data.
Familiarity with Redzone productivity systems.
Experience with Lean Manufacturing, Six Sigma, or Continuous Improvement programs.
Experience integrating ERP or operational databases with reporting tools.
Knowledge of data pipeline design and automation workflows.
Key Skills:
Power BI Dashboard Development
DAX Analytics
Python Data Automation
SQL Data Management
Manufacturing Data Analysis
Data Visualization & Reporting
Continuous Improvement Analytics
Work Schedule:
Part-Time (10-25 hours per week)
Flexible scheduling available depending on project needs.
Impact of the Role :
This role will directly support data-driven manufacturing operations, helping leadership and production teams gain real-time insights into performance, downtime, efficiency, and continuous improvement opportunities through the Redzone system.
Pay:
$18.95/hour
Individual base pay depends on work location and additional factors such as experience, job-related skills, and relevant education or training. Total pay may include other forms of compensation. In addition, we offer competitive health, dental, 401k and wellness benefits beginning on the first day of employment. Please ask your Talent Acquisition Partner for more information about our total rewards package.
The Company is committed to providing equal opportunity for employees and qualified applicants in all aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national origin, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law.

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