ZipRecruiter

Log In

1

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

Headlight

Data Engineer

Salt Lake City, UT

$150K - $165K/yr

Strong SQL skills: complex stored procedures, CTEs, window functions, temp tables, index ... plan analysis * Python proficiency for ETL workloads: pandas, pyodbc or SQLAlchemy, REST API ...

Packsize International LLC

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 ...

New

Headlight

Data Engineer

Salt Lake City, UT · On-site

$150K - $165K/yr

Strong SQL skills: complex stored procedures, CTEs, window functions, temp tables, index ... plan analysis * Python proficiency for ETL workloads: pandas, pyodbc or SQLAlchemy, REST API ...

Packsize

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 ...

New

FocusKPI

Marketing Operations Analyst

Ogden, UT · On-site

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

Fidelity Investments

Senior Data Engineer

Salt Lake City, UT · On-site

$102K - $139K/yr

... SQL, Python, Terraform, and Docker within the Software Development Life Cycle (SDLC), to automate ... and analytics, using Python, Pandas, Scikit-learn, TensorFlow, and Snowpark; generating insights ...

Fidelity Investments

Senior Data Engineer

Salt Lake City, UT · On-site

$102K - $139K/yr

... SQL, Python, Terraform, and Docker within the Software Development Life Cycle (SDLC), to automate ... and analytics, using Python, Pandas, Scikit-learn, TensorFlow, and Snowpark; generating insights ...

Fidelity Corp

Senior Data Engineer

Salt Lake City, UT

$102K - $139K/yr

... SQL, Python, Terraform, and Docker within the Software Development Life Cycle (SDLC), to automate ... and analytics, using Python, Pandas, Scikit-learn, TensorFlow, and Snowpark; generating insights ...

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 Jul 14, 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.

Is Python and SQL enough for a data analyst?

For a data analyst, proficiency in Python and SQL is fundamental for data manipulation, analysis, and querying databases. However, additional skills such as data visualization, statistical knowledge, and familiarity with tools like Excel or BI platforms are often required to perform comprehensive analysis and communicate insights effectively.

What jobs can you get with SQL and Python?

Data analysts, data scientists, and business intelligence analysts commonly use SQL and Python to extract, analyze, and visualize data. These skills are essential for roles involving data management, reporting, and automation, often requiring knowledge of databases, statistical analysis, and data visualization tools.

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.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals successfully transition into the field at various ages. Skills in Python, SQL, and data visualization tools are more important, and continuous learning can help overcome any age-related concerns. Employers value experience and analytical ability regardless of age.

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.

Can Python and SQL work together?

Data analysts often use Python and SQL together to efficiently extract, manipulate, and analyze data. Python libraries like pandas and SQL connectors enable seamless integration, allowing analysts to automate workflows and perform complex data processing tasks within a single environment.

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:
Data Analyst Python Sql jobs near you
Infographic showing various Data Analyst Python Sql job openings in Ogden, UT as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 81% Full Time, 11% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $80,870 per year, or $38.9 per hour.
Data Engineer

Data Engineer

Headlight

Salt Lake City, UT

$150K - $165K/yr

Full-time

Posted 14 days ago

Job description

Join a team that’s transforming mental healthcare. Founded by psychiatrists, Headlight is more than a company: it’s a movement. A movement that exists on the front lines of the mental health crisis, transforming the way people access care and the way clinicians deliver it. In order to help people in their time of need and ensure that every person who comes to us has options, we are transparent about our capabilities, treatments, and coverage, we champion innovation, and we leverage our rich data to continuously implement better ways of delivering care. Our mission is simple but powerful: Improving lives, one session at a time. 

Our highly skilled and principled clinical team enjoys autonomy and institutional support so they can put their focus where it should be: on improving patient outcomes. Our clinicians want to do more than help individual clients, so they work to affect the system as a whole, elevating standards of care so that their efforts reverberate far beyond what they could do in private practice.

As the most trusted behavioral health partner in the Western U.S., we’ve established deep relationships that give us unparalleled access, interoperability, and first-priority referrals. This exclusivity, combined with our best-in-class coordinated care and feedback loops, results in superior outcomes and cost savings.

Our services are convenient, accessible, and expert, combining personalized client engagement with advanced technology to enhance, not replace, human connection. Indeed, we hold that human-to-human relationships are indispensable, so from the match to the session to the time between sessions, we provide whole person care so nobody falls through the cracks and there is a brighter path forward for all.
Our Pillars
  • Make things easier.
  • Forge genuine connections.
  • Elevate the standard.
Roles and Responsibilities

  • Own and extend the Python-based ETL job orchestration engine: add new job types, monitor execution, and resolve production failures 

  • Build and maintain data pipelines powering operational reporting for scheduling, finance, credentialing, and clinical operations 

  • Integrate data sources into the warehouse - EHR (NextGen), CRM (HubSpot), HR platforms (ADP, Lever), credentialing (Modio), call center (Five9), and other third-party APIs 

  • Optimize high-frequency SQL workloads  

  • Support and extend custom AI agents 

  • Maintain HIPAA compliance across all data handling: enforce access controls, audit logging, and PHI segregation in pipelines and reporting layers 

  • Write and maintain version-controlled code in the GitHub repository 

Required Qualifications

  • 3+ years of data engineering experience in a production environment 

  • Strong SQL skills: complex stored procedures, CTEs, window functions, temp tables, index optimization, execution plan analysis 

  • Python proficiency for ETL workloads: pandas, pyodbc or SQLAlchemy, REST API consumption, file handling, scheduling 

  • Hands-on experience data warehouse/ETL workloads 

  • Experience building and maintaining scheduled data pipelines with robust error handling, retry logic, and logging 

  • Ability to debug production failures independently, communicate status clearly, and resolve issues quickly under pressure 

  • Comfort working in a HIPAA-regulated environment and handling PHI with appropriate care and controls 

  • Familiarity with Azure Blob Storage or equivalent object storage for ETL staging workflows 

Preferred Qualifications

  • HubSpot CRM data integration experience (Contacts, Deals, Tickets, Company hierarchy, API rate limit handling) 

  • Healthcare data experience: EHR integrations (NextGen, Epic, or Cerner), credentialing systems, claims data, HIPAA BAA contexts 

  • Experience building or maintaining AI/LLM-powered applications (Claude, OpenAI) in a production context 

  • Familiarity with voice or telephony data pipelines, conversational AI systems, or patient intake automation 

  • Experience with complex provider or resource scheduling systems and the data modeling they require 

  • Exposure to CAC, LTV, or patient funnel analytics in a B2C healthcare or SaaS context 

  • Strong communication skills - this team works directly with clinical ops, finance, and marketing stakeholders 

Benefits

  • W2 role with competitive compensation

  • Medical, Dental and Vision on the first of the month after employment

  • Paid Vacation, Sick, and Holiday time

  • Employee Assistance Program (EAP) provides confidential counseling services, resources, and support to help you navigate personal or professional challenges. 

  • 401(k) plan with company contribution

  • Opportunity to work in a cutting-edge healthcare technology environment

  • Professional development opportunities and training

  • Collaborative and supportive work culture

  • Impactful role contributing to the enhancement of patient care and healthcare processes

If you need any accommodations for your interview please email HR@headlight.health prior to scheduling.

Not meeting all the requirements? Research indicates that women, communities of color, and historically underrepresented individuals are often hesitant to apply for jobs unless they meet every qualification. We are committed to cultivating a diverse, inclusive, and genuine workplace. If you're enthusiastic about this position but your previous experience doesn't precisely match every qualification listed, we enthusiastically encourage you to submit your application. You could be the ideal candidate for this role or others!

Headlight is committed to the principles of diversity, equity, and inclusiveness and seeks to create a working environment reflective of this commitment. We seek to provide a diverse clinician base to support the diversity of our clients. Headlight supports and respects diversity of people, culture, and ideas throughout our organization. Headlight thrives to be a welcoming, diverse and discrimination- and harassment-free workplace.

By applying for this position, you consent to receive future communications from Headlight via email or text regarding this application and related employment opportunities. You may opt-out at anytime by contacting us directly.

Job Postings on Indeed and other job boards may post with total compensation (base + bonus). For the exact base salary range please check our website or our job-site

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.