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

Data Analyst

Denver, CO ยท 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 ...

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 ...

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 ...

Data Analyst I

Englewood, CO ยท 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 ...

Data Analyst I

Englewood, CO ยท 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 ...

Data Analyst I

Englewood, CO ยท 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 ...

What You'll Do The Senior Data Analyst (Partner Analytics) will work across the organization to ... High degree of proficiency in Microsoft SQL, Excel & PowerPoint. * Entrepreneurial spirit and ...

Showing results 21-40

Data Analyst Python Sql information

See Centennial, CO salary details

$35K

$85K

$139.9K

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

As of Aug 17, 2026, the average yearly pay for data analyst python sql in Centennial, CO is $84,995.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,300.00 and $99,800.00 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 cities near Centennial, CO are hiring for Data Analyst Python Sql jobs?

Cities near Centennial, CO with the most Data Analyst Python Sql job openings:

Data Analyst

nLeague

Denver, CO โ€ข On-site

Contractor

Re-posted 25 days ago


Job description

Job ID:  65397

Position:  Data Analyst

Client: CO CDE

Location: 201 E Colfax Ave   Denver,  Colorado    80203-0000 (Remote)

Duration: 6+ Months

Role Summary 

  • IMS is seeking a mid-level Informatica ETL Developer / Administrator to support the migration of ETL workflows from Informatica PowerCenter to Informatica Intelligent Data Management Cloud (IDMC). 
  • This role is hands-on and execution-focused, providing development, administration, and database support during migration and stabilization efforts.  
  • The contractor will primarily focus on ETL Asset/ Workflow migration. The contractor will may also assist with Oracle database and stored-procedure–based systems, including components supporting Accountability Frameworks. 
  • This position works under the direction of IMS technical leads and does not include platform ownership, architecture authority, or people management. 

Key Responsibilities 

  • Informatica IDMC Migration 
  • Support migration of ETL workflows from PowerCenter to IDMC. 
  • Analyze existing mappings and workflows to support rebuild or refactor in IDMC. 
  • Assist with testing, validation, and troubleshooting of migrated workflows. 
  • Support cutover and post-migration stabilization activities. 
  • Informatica Administration (Execution-Level) 
  • Support IDMC environment configuration and operations. 
  • Perform system configuration activities to support hybrid legacy configuration. 
  • Assist with job scheduling, monitoring, and error resolution. 
  • Follow established operational procedures and escalation paths. 
  • Database & Stored Procedure Support 
  • 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 Accountability Frameworks. 
  • Documentation & Knowledge Transfer 
  • Contribute to migration and configuration documentation. 
  • Document changes made during migration to support operational continuity. 
  • Participate in knowledge transfer to IMS staff as requested. 

Required Skills & Experience 

  • 4–7 years of hands-on Informatica ETL experience. 
  • Experience with Informatica IDMC / Informatica Cloud or PowerCenter with migration exposure. 
  • Experience supporting or administering Informatica environments. 
  • Strong SQL skills with Oracle databases. 
  • Experience working with stored procedures and database-driven logic. 
  • Experience supporting ETL testing, validation, and issue resolution. 
  • Experience with Linux based operating systems and command line interface. 

Preferred Skills 

  • Prior PowerCenter → IDMC migration experience. 
  • Familiarity with cloud or hybrid execution environments. 
  • Experience or familiarity with Linux system administration activities. 
  • Experience supporting regulated or audit-sensitive data systems.  

Engagement Objective 

  • Provide targeted ETL and database expertise to: 
  • Accelerate PowerCenter to IDMC migration 
  • Reduce load on permanent IMS staff 
  • Support Oracle/stored-procedure–based Accountability Frameworks during transition