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Data Analyst Python Sql Jobs in Littleton, CO (NOW HIRING)

Apetan Consulting llc

Business (Data) Analyst

Denver, CO · On-site

$80 - $150/hr

SQL, SNOWFLAKE, DATABRICKS, AWS, REDSHIFT, DATA WAREHOUSE, ETL * Experience: 7 + years * Develop Data Solutions: Analyze, design, and build applications and data pipelines using AWS, Databricks ...

Eliassen Group

Data Analyst

Greenwood Village, CO · Remote

$60 - $70/hr

Strong proficiency in SQL. * Experience with data visualization. Tableau preferred. Power BI or ... Secondary skills: AWS or other cloud platforms, Python. * Nice to have: AI experience ...

nLeague

Data Analyst

Denver, CO · On-site

Support Oracle databases used by ETL and reporting systems. * Assist with analysis and troubleshooting of SQL and stored procedures. * Validate data transformations and outputs, particularly for ...

Airswift

Data Analyst II

Denver, CO · On-site

Develop and maintain SQL queries against enterprise and operational data systems. * Analyze ... Programming experience in Python and/or R. * Experience with Microsoft Power Platform (Power ...

Apex Systems

Data Analyst II

Denver, CO · On-site

Develop and maintain SQL queries against enterprise data systems (OXYODS, OpenWells, operational ... Programming skills in Python or R for advanced analytics and automation. Experience with Microsoft ...

Berkley

Data Analyst I

Englewood, CO · Hybrid

$65K - $75K/yr

Required: Strong knowledge of SQL. * Preferred: Intermediate knowledge of Power BI. * Preferred ... Intermediate knowledge of R and Python. * Ability to adapt. * Strong problem solving and ...

Berkley

Data Analyst I

Englewood, CO · Hybrid

$65K - $75K/yr

Required: Strong knowledge of SQL. * Preferred: Intermediate knowledge of Power BI. * Preferred ... Intermediate knowledge of R and Python. * Ability to adapt. * Strong problem solving and ...

Berkley

Data Analyst I

Englewood, CO · On-site

$65K - $75K/yr

Required: Strong knowledge of SQL. * Preferred: Intermediate knowledge of Power BI. * Preferred ... Intermediate knowledge of R and Python. * Ability to adapt. * Strong problem solving and ...

Modivcare

Data Insights Analyst II

Denver, CO · On-site

... SQL for querying and manipulating data. • Experience with data visualization tools (e.g., Tableau, Power BI, Looker). • Strong knowledge of Excel and statistical analysis tools such as Python, R ...

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All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Littleton, CO

Data Analyst Python Sql information

See Littleton, CO salary details

$34.1K

$82.8K

$136.2K

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

As of Aug 13, 2026, the average yearly pay for data analyst python sql in Littleton, CO is $82,778.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,600.00 and $97,200.00 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 are popular job titles related to Data Analyst Python Sql jobs in Littleton, CO?

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

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

The top searched job categories for Data Analyst Python Sql jobs in Littleton, CO are:

What cities near Littleton, CO are hiring for Data Analyst Python Sql jobs?

Cities near Littleton, CO 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 Littleton, CO 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 $82,778 per year, or $39.8 per hour.

Business (Data) Analyst

Apetan Consulting llc

Denver, CO • On-site

$80 - $150/hr

Contractor

Re-posted 5 hours ago

Job description

Job Title : Business (Data) Analyst

Job Location:- Denver, CO (Need only local candidate)

Job Type : Contract

Skills: SQL, SNOWFLAKE, DATABRICKS, AWS, REDSHIFT, DATA WAREHOUSE, ETL

  • Experience: 7+ years
  • Develop Data Solutions: Analyze, design, and build applications and data pipelines using AWS, Databricks, Redshift, and Snowflake.
  • ETL/ELT Development: Analyze standards and procedures for, and design data extraction, transformation, and loading (ETL/ELT) processes for both batch and real-time data.
  • Database Management: Design Data Lakes and Data Warehouses, and work with databases like Oracle and SQL Server.
  • SQL Expertise: Write advanced SQL queries, including performance tuning, to support data analysis and application needs.
  • Full Software Development Lifecycle: Handle the entire SDLC for data warehouse applications, from requirements analysis to implementation, testing, and debugging.
  • System Integration: Integrate, enhance, and fine-tune Enterprise Data Warehouses to consolidate data from various sources.