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Freelance Python Data Analyst Jobs in Colorado (NOW HIRING)

Summary

Water Conservation Data Analyst

Vail, CO

The Water Conservation Data Analyst plays a crucial role in our mission to protect and sustain our ... Python * Docker * Data Security and Compliance: Understanding of data governance, privacy, and ...

Cliftonlarsonallen

Data Analyst Senior

Denver, CO · On-site +1

$88K - $111K/yr

CLA is looking to hire a Data Analyst Senior; you will make use of the Microsoft Power Platform, or a scripting language like R or Python. The Data Analyst Senior cleans up data for analysis and/or ...

EchoStar

Business Data Analyst II

Englewood, CO · On-site

$63K - $90K/yr

... data-backed operational insights to leadership. Success depends on maintaining strict accuracy ... Analyze large, complex datasets using SQL, Python, R, and Tableau to deliver actionable operational ...

Advanced Energy

Senior Data Analyst

Denver, CO · On-site

$95K - $130K/yr

Hands-on experience with data engineering/analysis on Azure and Databricks (e.g., Delta Lake, PySpark or Python for analysis and data preparation). Strong data modeling (dimensional modeling ...

Artifact Uprising

Senior Data Analyst

Denver, CO

$80K - $100K/yr

Artifact Uprising is looking for a hands-on Senior Data Analyst to join our small but mighty ... Python or R for statistical modeling, simulation, or automation * Background in customer ...

Artifact Uprising

Senior Data Analyst

Denver, CO · On-site

$80K - $100K/yr

Artifact Uprising is looking for a hands-on Senior Data Analyst to join our small but mighty ... Python or R for statistical modeling, simulation, or automation * Background in customer ...

Artifact Uprising

Senior Data Analyst

Denver, CO · On-site

$80K - $100K/yr

Artifact Uprising is looking for a hands-on Senior Data Analyst to join our small but mighty ... Python or R for statistical modeling, simulation, or automation * Background in customer ...

Xcel Energy

Data Performance Analyst

Henderson, CO · On-site

Experience or proficiency with data analytics tools such as Microsoft Excel, Business Objects, Databricks, Python, Java, VBA, SQL, and PowerBI. * Strong organizational/time management skills with the ...

Xcel Energy

Data Performance Analyst

Denver, CO · On-site

Experience or proficiency with data analytics tools such as Microsoft Excel, Business Objects, Databricks, Python, Java, VBA, SQL, and PowerBI. * Strong organizational/time management skills with the ...

Modivcare, Inc.

Data Insights Analyst II

Denver, CO

$67K - $86K/yr

Strong knowledge of Excel and statistical analysis tools such as Python, R, or SAS. * Familiarity with ETL processes and cloud-based data platforms (e.g., Snowflake, BigQuery, AWS, Azure). * Soft ...

Grey Matters Defense Solutions

Data Engineer

Englewood, CO · On-site

$125K - $165K/yr

... Analyst * Maintain database where annotations and their related metadata is stored * Provide and maintain Data Scientist's access to database for the purpose of making datasets About you: * Python ...

Grey Matters Defense Solutions

Data Engineer

Centennial, CO · On-site

$125K - $165K/yr

... Analyst * Maintain database where annotations and their related metadata is stored * Provide and maintain Data Scientist's access to database for the purpose of making datasets About you: * Python ...

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Freelance Python Data Analyst information

What is the difference between Freelance Python Data Analyst vs Freelance Data Scientist?

AspectFreelance Python Data AnalystFreelance Data Scientist
Required SkillsPython, data analysis, visualization, SQLPython, machine learning, statistical modeling, data analysis
Work EnvironmentProject-based, client-specific, remote or on-siteProject-based, client-specific, remote or on-site
Industry UsageBusiness intelligence, reporting, data cleaningPredictive modeling, advanced analytics, AI development

Freelance Python Data Analysts focus on interpreting data, creating reports, and visualizations using Python, while Freelance Data Scientists work on developing predictive models and advanced analytics. Both roles often operate in similar environments but differ in technical depth and project scope.

What are the key skills and qualifications needed to thrive as a Freelance Python Data Analyst, and why are they important?

To thrive as a Freelance Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often supported by a degree in a quantitative field. Familiarity with data analysis libraries like pandas, NumPy, and visualization tools such as matplotlib or Tableau is typically required, along with experience using SQL and version control systems like Git. Excellent communication, problem-solving, and self-management skills distinguish successful freelancers who can clearly convey insights to clients and manage multiple projects independently. These skills are crucial for delivering actionable data-driven solutions and maintaining client satisfaction in a competitive freelance environment.

What does a Freelance Python Data Analyst do?

A Freelance Python Data Analyst uses Python programming and analytical skills to collect, process, and interpret data for clients on a project or contract basis. Their work often involves cleaning data, running statistical analyses, creating visualizations, and generating actionable insights to help businesses make informed decisions. They may also automate data workflows and build custom scripts or dashboards tailored to client needs. As freelancers, they work independently, managing their own schedules and client relationships.

How does a Freelance Python Data Analyst typically manage communication and project expectations with multiple clients?

Freelance Python Data Analysts often work with several clients simultaneously, which requires clear communication and effective project management. They typically use tools like email, project management platforms, and regular video calls to establish project goals, timelines, and deliverables. Setting expectations early and providing frequent updates help build trust and ensure clients are satisfied with the analyst's work. Additionally, strong organizational skills are essential to prioritize tasks and manage overlapping deadlines.
What are the most commonly searched types of Python Data Analyst jobs in Colorado? The most popular types of Python Data Analyst jobs in Colorado are:
What are popular job titles related to Freelance Python Data Analyst jobs in Colorado? For Freelance Python Data Analyst jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Freelance Python Data Analyst jobs in Colorado look for? The top searched job categories for Freelance Python Data Analyst jobs in Colorado are:
What cities in Colorado are hiring for Freelance Python Data Analyst jobs? Cities in Colorado with the most Freelance Python Data Analyst job openings:
Freelance Python Data Analyst jobs near you
Water Conservation Data Analyst

Water Conservation Data Analyst

EAGLE RIVER WATER & SANITATION DISTRICT

Vail, CO • On-site

$85K - $119K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

The Water Conservation Data Analyst plays a crucial role in our mission to protect and sustain our water resources. As a key team member in the Water Conservation Department, you will use data analysis to support water conservation goals, create water-saving strategies, and help shape a sustainable future for our community. You will support programs to manage water use across our customer types and influence conservation through data-driven insights.
We're seeking an individual passionate about using data in an environmental sustainability and water conservation setting. If you thrive on data analysis, enjoy collaborating with diverse teams, and are excited about creating positive change, this role could be a perfect fit.
Why work for us? The work you will do as a Water Conservation Data Analyst will allow you to make a real difference in creating a sustainable future for the community where we live, work and play. In addition, we offer excellent health benefits, a housing program, and opportunities for training and development.
Day to Day Responsibilities:
  • Data Analysis & Evaluation: Use data to support business decisions about water conservation and other internal initiatives and track the impacts resulting from our work. Lead sophisticated statistical analyses of water use to refine conservation needs and understand how factors such as outreach, weather, and rates affect customers' water use.
  • Statistical Modeling & Forecasting: Build regression and time-series models to quantify how weather, rate changes, and outreach affect water use, and forecast future demand and revenue under different rate and conservation scenarios.
  • Data Engineering & Tooling: Develop and maintain reproducible data pipelines, analysis scripts, and interactive tools (R, Quarto, Shiny) using version control, and audit and QC source data for accuracy before it drives analysis, reporting, or billing.
  • Data Management & Visualization: Develop and manage interactive dashboards, charts, and reports in Power BI and Shiny to communicate key findings internally and for the public.
  • Cross-Functional Collaboration & Support: Partner with departments across the organization to design customer communications and support water conservation and rate initiatives. Serve as a subject-matter resource on water-use data and analysis for other teams and leadership and help onboard and mentor interns and analysts on tools, methods, and best practices.
  • Communication & Storytelling: Translate complex analyses into clear narratives and visuals for non-technical audiences, present findings at internal meetings, town halls, and stakeholder sessions, and respond to occasional technical customer inquiries about water use, bills, and rates.
  • Research, Reporting & Documentation: Apply best practices in water conservation and data-driven rate structures, and maintain SOPs, reports, records, and documentation so analyses and processes remain reproducible and transferable across the team.

Qualifications and Competencies:
  • Education & Experience:
    • Bachelor's degree from an accredited college or university with significant course work in environmental science, conservation, biological science, hydrology, data analysis, or related fields, AND
    • Minimum two years of professional experience in a data analysis-heavy field, OR any combination of experience and training that would provide the required knowledge and abilities.
  • Problem Solving: Use critical thinking to address data discrepancies, quality-check datasets, and support solution development through comprehensive analysis.
  • Teamwork: Ability to work across all departments and manage workloads.
  • Project management skills

Required Technical Skills:
  • Data Modeling: Advanced skills in querying, data extraction, transformation, aggregation, and optimization
  • Programming and Analysis: Experience with R and R Studio/VS Code for data manipulation, statistical analysis, and modeling
  • Statistical Software and Libraries: Proficiency in statistical software and libraries (e.g., pandas in Python, dplyr in R) for advanced data manipulation and analysis.
  • Git: Ability to incorporate Git version control into workflows for reproducible code, CI/CD DevOps, and collaboration amongst data colleagues.
  • Excel: Strong foundational Excel skills for supplemental analysis (Pivot Tables, Conditional Formatting, Index Match, Data Validation).

Nice to Have Skills:
  • SQL Server (Data Warehousing, ETL)
  • APIs and Data Integration: Ability to use APIs to integrate data from external sources. Power Platform
  • Experience using Virtual Machine (VM) Environments
  • Python
  • Docker
  • Data Security and Compliance: Understanding of data governance, privacy, and security best practices, including compliance with CISA (Cybersecurity and Infrastructure Security Agency) standards.

The Schedule
This position is expected to work a hybrid schedule, working on-site 2-3 days per week at our office in Vail, Colorado.
Pay Range
The salary range for this role is $85,259.20 - $119,329.60. Hiring wage will depend on qualifications and experience.
We are committed to recognizing and retaining high-performing employees and offer performance-based annual merit increases, cost-of-living adjustments, and annual market evaluations.
Benefits
At ERWSD, we value life-work balance and are leaders in the industry with our holistic benefits package, which includes but is not limited to:
  • Comprehensive medical, dental, and vision coverage
  • Employee housing or $559 monthly housing stipend
  • Wellness program
  • Retirement savings plans (414h and 457) - We are a social security exempt organization
  • 13.5 Paid Holidays
  • Paid Time Off (PTO)
  • Paid Parental Leave
  • $800 Annual Recreation Benefit
  • Tuition Reimbursement
  • Loan programs for: Ski Passes, Electric Vehicles, and Computers
  • Relocation Assistance (if applicable)

All District employees must possess a valid Colorado Driver License and submit to a pre-employment drug screen, extensive background check including an educational verification, and reference check. For a full position description including work environment and physical demands, email erwsdjobs@erwsd.org.
All applicants must apply online at www.erwsd.org by August 5, 2026.
We are an Equal Opportunity Employer
We do not discriminate based on race, color, religion, national origin, sex, age, disability, sexual orientation, marital status, genetic information or any other status protected by law or regulation. It is our intention that all qualified applicants be given equal opportunity and that selection decisions are based on job-related factors.

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