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

Develop and optimize SQL queries for data retrieval, transformation, and analysis. * Create and ... Write Python scripts and Jupyter notebooks for data extraction, transformation, and automation ...

Data Engineer

Woods Cross, UT · On-site

$108K - $129K/yr

... analytics * Collaborate on data models that support business metrics and dashboards * Write and optimize complex SQL queries for performance and clarity Automation & Internal Tooling * Build Python ...

Data Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

Implement robust ETL/ELT processes using intermediate Python and advanced SQL to ensure high-quality data delivery. * Collaborate with business units, analysts, and stakeholders to gather ...

Data Engineer

Salt Lake City, UT · On-site +1

$110K - $133K/yr

Implement robust ETL/ELT processes using intermediate Python and advanced SQL to ensure high-quality data delivery. * Collaborate with business units, analysts, and stakeholders to gather ...

... Python, R, SQL). Coding experience with C#, Visual Basic .NET, JavaScript, XML, HTML, CSS is a plus ... data, analytics, cloud, or project delivery are beneficial. WORK ENVIRONMENT Collaborative and ...

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

Showing results 21-40

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 7, 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.

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 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 jobs can I get if I know Python and SQL?

Data analysts with Python and SQL skills can pursue roles such as data analyst, business intelligence analyst, or data scientist. These positions typically involve data extraction, cleaning, analysis, and visualization, often using tools like pandas, SQL databases, and visualization software. Strong programming and database management skills are essential for these roles.

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.

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 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:
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, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $80,870 per year, or $38.9 per hour.

Sales Performance Data Analyst

Filevine

Salt Lake City, UT • On-site

$80K - $100K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 15 days ago


Job description

Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform-where modern legal work happens with clarity and consistency.
 
Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine's rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country.

Role Summary:

The Sales Analyst will be responsible for driving sales intelligence and performance visibility across the sales organization. This role involves analyzing and reporting on SaaS sales KPIs, pipeline health, and rep performance. The ideal candidate brings a solid understanding of SaaS sales metrics and modern dashboarding best practices, and is eager to grow into a senior analytics role by learning the full depth of our business - from pipeline generation through closed-won and beyond.

This role will report directly to the Director of Data Analytics, but will primarily focus on the needs of the SVP of Revenue Operations.  The ideal candidate will come in with a strong knowledge of SaaS metrics and will be self-sufficient and independently research our data to give recommendations, analysis, and findings directly to executive leadership.

Responsibilities:
  • Sales Performance Reporting - Own and execute reporting for core SaaS sales KPIs including quota attainment, win/loss rates, average deal size, sales cycle length, pipeline coverage, forecast accuracy, and rep productivity. Partner with Sales Leadership and Revenue Operations to troubleshoot data discrepancies and evolve reporting as business needs shift.
  • Business Intelligence & Dashboarding - Perform ad-hoc analyses to support Sales Leadership and Revenue Operations teams. Translate complex data into clear, compelling visual stories that drive decision-making.  Design, develop, and maintain sales performance dashboards in DOMO, applying strong dashboarding principles (clear hierarchy, actionable metrics, appropriate drill-downs, minimal noise). 
  • Pipeline & Forecast Analytics - Serve as the go-to analyst for pipeline and forecast reporting - tracking stage-over-stage progression, identifying deal slippage and bottlenecks, and surfacing insights that help sales leadership optimize resource allocation and coaching efforts. Develop and maintain KPI definitions and measurement frameworks aligned to SaaS best practices.
  • Workflow Automation & Data Operations - Build and maintain automated data feeds, alerts, and notification workflows within DOMO. Streamline recurring reporting processes to reduce manual effort and improve data freshness. Support DOMO administration, staying current with platform releases and capabilities.
Qualifications:
  • Independent Analytics & Reporting - You must be a driven self-starter who is eager to do independent analysis and confident in reporting back to executive leadership with your findings.  You will be expected to be doing analysis on your own, without prompt, and find opportunities to improve the revenue cycle on a regular basis
  • Executive Communication - You should be able to concisely report back to executive leadership your own conclusions and findings from the analysis that you perform.  You should understand how to present your findings with appropriate backup, without just drowning your stakeholder in charts and tables.
  • SaaS Sales Metrics - Solid working knowledge of key SaaS sales KPIs: quota attainment, win rate, pipeline coverage ratios, average sales cycle, deal velocity, ARR/MRR, churn, and forecast accuracy. You should be able to speak fluently about what these mean and why they matter.
Nice To Have
  • DOMO - Strong hands-on experience with DOMO is preferred. You should be comfortable building dashboards in some BI tooling, if it's Domo that's even better.
  • Salesforce - Working knowledge of Salesforce data structures is a major plus for integration and pipeline reporting, but not required.
  • SQL - Basic familiarity with SQL concepts is a plus. This role won't require query writing initially, but a foundational understanding will serve you well as you grow into more advanced analytics over time.
Compensation Information: $80,000 - $100,000
 
The base salary range represents the low and high end of the salary range for this position. The total compensation package for this position will be determined by each individual's location, qualifications, education, work experience, skills and performance. We believe in the importance of pay equity - the range listed is just one component of Filevine's total compensation package for employees. This position is also eligible for a paid time off policy, as well as a comprehensive benefits package.
 
 This role is designed for someone who wants to grow with the company. You'll start by owning sales analytics and progressively expand into broader business intelligence as you learn the nuances of our data, our customers, and our operations. We're looking for curiosity and ambition - not just someone who can build a dashboard, but someone who asks why the numbers look that way.

Filevine is an Equal Opportunity Employer. Qualifications for employment, promotion and other terms and conditions of employment are based upon the ability to perform the job. Equal-employment opportunities are provided to all applicants and employees without regard to race, creed, religion, color, age, national origin, sex, disability, veteran status, or other legally protected class. Filevine is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or accommodation due to disability, or if you have concerns related to Filevine's equal employment opportunities, you may contact us at [email protected]
 
Cool Company Benefits:
- A dynamic, rapidly growing company, focused on helping organizations thrive 
- Medical, Dental, & Vision Insurance (for full-time employees)
- Competitive & Fair Pay
- Maternity & paternity leave (for full-time employees)
- Short & long-term disability
- Opportunity to learn from a dedicated leadership team
- Top-of-the-line company swag
 
Privacy Policy Notice
Filevine will handle your personal information according to what's outlined in our Privacy Policy.
 
Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.
 
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.
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