ZipRecruiter

Log In

1

Data Analyst Python Sql Jobs in Ogden, UT (NOW HIRING)

Professional Recruiters

Be Seen First

Technical Data Analyst

Salt Lake City, UT · On-site

$77K - $100K/yr

Use SQL, Python, or similar tools for data extraction and analysis when applicable. * Identify opportunities to eliminate manual processes and improve the efficiency of data collection and reporting.

Omnicom

Data Analyst

Salt Lake City, UT · On-site

... of Python & data and plotting libraries, with a keen interest in developing their programming ... Basic SQL capabilities: joining tables, using 'group by' clauses, case statements. - Basic ...

Omnicom

Data Analyst

Salt Lake City, UT · Hybrid

... of Python & data and plotting libraries, with a keen interest in developing their programming ... Basic SQL capabilities: joining tables, using 'group by' clauses, case statements. - Basic ...

GPC - Genuine Parts Company

BI Data Analyst

Ogden, UT · On-site

The Business Intelligence Data Analyst designs and develops software-based data modeling and ... Knowledge of database design techniques and advanced SQL skills required. Proficiency in Python, R ...

Genuine Parts Company

BI Data Analyst

Ogden, UT · On-site

The Business Intelligence Data Analyst designs and develops software-based data modeling and ... SQL skills required. • Proficiency in Python, R, or other statistics platform preferred. • ...

Socket.dev

Data Analyst

Ogden, UT · On-site

$70 - $100/hr

Data Analyst HydroJug, Inc. -- Ogden, UT (On-Site) | Systems About the Role The Data Analyst ... SQL; your outputs do the translation. You escalate data quality issues immediately rather than ...

Peterson Ventures

Sr. Data Analyst

Salt Lake City, UT · On-site

$85 - $120/hr

... analyzing data, presenting results, and driving change. This role is designed for candidates who ... Proficient with SQL * Strong understanding of statistics and hypothesis testing * Great ...

next page

Showing results 1-20

All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Ogden, UT

Data Analyst Python Sql information

See Ogden, UT salary details

$33.3K

$80.9K

$133.1K

How much do data analyst python sql jobs pay per year?

As of Aug 28, 2026, the average yearly pay for data analyst python sql in Ogden, UT is $80,870.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,200.00 and $94,900.00 per year, depending on experience, location, and employer.

What is a data analyst Python SQL?

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 are the key skills and qualifications needed to thrive as a data analyst with Python and SQL?

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 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.

What are popular job titles related to Data Analyst Python Sql jobs in Ogden, UT?

For Data Analyst Python Sql jobs in Ogden, UT, the most frequently searched job titles are:

What job categories do people searching Data Analyst Python Sql jobs in Ogden, UT look for?

The top searched job categories for Data Analyst Python Sql jobs in Ogden, UT are:

What cities near Ogden, UT are hiring for Data Analyst Python Sql jobs?

Cities near Ogden, UT 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 Ogden, UT as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $80,870 per year, or $38.9 per hour.

Data Analyst

Salt Lake City, UT • On-site

Utah Division of Human Resource Management
See more jobs at Utah Division of Human Resource Managementexternal

$33.96 - $54.07/hr

Full-time, Part-time

Re-posted 10 days ago

Job description

Data Analyst
This Data Analyst role transforms multi-source transportation and operational data into actionable data-driven intelligence within a cloud environment. Key responsibilities include developing interactive dashboards, performing data analysis, and designing automated workflows. The ideal candidate will champion data literacy and leverage strong technical and communication skills to provide strategic, data-driven insights for stakeholders.
About the Role
Here is some important information about this position:
Salary Range: $33.96 - $54.07
FT/PT Status: Full Time
Background Check: You must successfully pass a criminal history check.
Schedule Code: B - Competitive Career Service (12 month probationary period)
Location: Calvin Rampton Building - 4501 South 2700 West, Taylorsville, Utah
Recruiter: Porter Cook I pccook@utah.gov I801-965-4164
Application Deadline: 8/28/2026
*This job posting may close at any time after the minimum advertising period of three (3) business days has passed, should a sufficient applicant pool be received. Applicants are encouraged to apply as early as possible.
Principle Duties
  • Data Extraction & Pipeline Integration: Collaborate with engineering teams to build, clean, and normalize large relational, spatial, and temporal datasets. Write and maintain structured SQL scripts and automated data workflows to ensure seamless data ingestion.
  • Business Intelligence & Visualization: Conceptualize, develop, and deploy high-impact dashboards, decision-support tools, and automated reports. Create intuitive visual analytics that allow operational staff and executive leadership to safely monitor performance indicators.
  • Collaboration & Communication: Act as a primary technical translator between central IT infrastructure teams and business-unit subject matter experts. Present data-driven findings, assumptions, and limitations clearly to non-technical leadership and business owners.
  • Statistical Analysis & Problem Framing: Partner with operational divisions to translate complex operational challenges into concrete analytical projects. Use statistical validation methods to identify underlying trends, quantify uncertainties, and evaluate project outcomes.
  • Data Governance & Compliance: Adhere strictly to the enterprise data governance framework, metadata management standards, and data quality procedures. Maintain data dictionaries, map data lineage, and ensure strict compliance with state and federal privacy standards regarding Personally Identifiable Information (PII).
  • Prototyping & Innovation: Participate in building "proof-of-concept" analytical models to test the viability of emerging data streams before full-scale deployment.

Requirements & Key Skills
Education:
  • A Bachelor's degree in Data Science, Statistics, Computer Science, Economics, Information Systems, Business Administration, or three (3)+ years of demonstrated relevant experience.

Technical:
  • Intermediate-to-Expert level demonstrated proficiency with SQL
  • Intermediate-to-Expert level demonstrated proficiency with statistical programming languages such Python
  • Proficiency using enterprise Business Intelligence platforms (such as Google Looker, Power BI, or Tableau)

Communication:
  • Exceptional verbal and written communication skills with a proven capability to write clean technical documentation and deliver engaging data stories.

Preferences
  • Conceptual and practical knowledge of descriptive statistics (experience with inference preferred)
  • Understanding of at least one BI platform and one enterprise cloud environment (one year preferred)
  • Recent technical project experience (two years and/or 3+ recent technical projects preferred)
  • Interpret technical language for nontechnical audiences (one year preferred)
  • Observe and diagnose data quality issues including inconsistencies, missing values, or structural problems across multiple sources (three years preferred)
  • SQL (two years preferred)
  • Institutional knowledge of transportation, government, or other public-sector background.
  • Translating business needs into logical problem statements (one year preferred, explain your role)
  • Yearning for professional growth and a strong commitment to supporting the Data team in advancing UDOT's mission.

Apply