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Freelance Python Data Analyst Jobs in Colorado (NOW HIRING)

Senior Data Analyst

Denver, CO

$89K - $113K/yr

Clean, manipulate, and transform complex datasets using Python (e.g., pandas, numpy)  * Build ... Advocate for data quality, governance, and scalable analytical best practices  Advanced Analytics ...

Senior Data Analyst

Denver, CO

$89K - $113K/yr

The Senior Data Analyst partners with internal teams to deliver data-driven insights and analytical ... Clean, manipulate, and transform complex datasets using Python (e.g., pandas,numpy) * Build ...

Senior Data Analyst

Denver, CO

$89K - $113K/yr

The Senior Data Analyst partners with internal teams to deliver data-driven insights and analytical ... Clean, manipulate, and transform complex datasets using Python (e.g., pandas,numpy) * Build ...

Data Analyst II

Englewood, CO · On-site

$72K - $103K/yr

Analyze data and provide actionable insights using SQL, Python, R, Tableau, and Microsoft/Google Suite * Solve problems and meet goals with advanced statistical techniques and innovative approaches

Data Analyst II

Englewood, CO · On-site

$72K - $103K/yr

Analyze data and provide actionable insights using SQL, Python, R, Tableau, and Microsoft/Google Suite * Solve problems and meet goals with advanced statistical techniques and innovative approaches

Data Analyst Senior

Denver, CO · On-site

$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 ...

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 ...

New

Audit our current cohort building processes and implement optimized SQL/Python workflows that ... Bachelor's Degree in Data Analytics, Statistics, Marketing, or a related quantitative field

Proficiency in Python (or R) for data analysis, including experience with the PyData stack (NumPy, Pandas, Matplotlib, scikitlearn). * Strong analytical, problemsolving, and statistical analysis ...

Proficiency in Python (or R) for data analysis, including experience with the PyData stack (NumPy, Pandas, Matplotlib, scikit-learn). * Strong analytical, problem-solving, and statistical analysis ...

Proficiency in Python (or R) for data analysis, including experience with the PyData stack (NumPy, Pandas, Matplotlib, scikitlearn). * Strong analytical, problemsolving, and statistical analysis ...

Proficiency in Python (or R) for data analysis, including experience with the PyData stack (NumPy, Pandas, Matplotlib, scikit‑learn). * Strong analytical, problem‑solving, and statistical ...

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 ...

Senior Data Analyst

Denver, CO

$88K - $111K/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 ...

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 ...

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Showing results 1-20

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.

Can you do freelancing as a data analyst?

Freelance Python data analysts can work independently on projects for clients, often using skills in data cleaning, analysis, and visualization with tools like Python and SQL. Freelancing offers flexibility in schedule and project choice but requires self-marketing, client management, and a strong portfolio to succeed.

Will AI replace data analysts?

AI tools can automate routine data processing and basic analysis tasks, but data analysts play a crucial role in interpreting complex data, making strategic decisions, and communicating insights. The role of a freelance Python data analyst involves skills in programming, statistical analysis, and data visualization, which remain essential despite advancements in AI. Therefore, AI is more likely to augment rather than fully replace data analysts in the foreseeable future.

How much does a Python freelancer make?

A freelance Python data analyst typically earns between $25 and $100 per hour, depending on experience, project complexity, and client budget. Experienced analysts with specialized skills in data visualization, machine learning, or big data tools can command higher rates, often working on short-term or long-term projects remotely.

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.

Can I be a data analyst with just Python?

A freelance Python data analyst can perform many data analysis tasks using Python libraries such as pandas, NumPy, and matplotlib. However, developing skills in SQL, data visualization, and understanding of business context often enhances job prospects and effectiveness in the role.

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 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:
Senior Data Analyst

Senior Data Analyst

Appcast

Denver, CO

$89K - $113K/yr

Full-time

Posted 25 days ago


Key responsibilities

  • Partner with cross-functional stakeholders to understand business challenges and translate them into data-driven insights and analytical solutions.

  • Query large-scale datasets, perform data exploration, and conduct deep-dive analyses to identify trends, anomalies, and business opportunities.

  • Design and deliver custom data products such as reports, dashboards, and analytical tools to meet business and product objectives.


Job description

Company Description

Appcast is the global leader in programmatic recruitment advertising technology and services. With advanced technology, unmatched market data and a team of the industry’s best recruitment marketers, Appcast’s technology and services manage job advertising annually for enterprise clients across industries. Headquartered in Lebanon, N.H. with offices in the U.S., Canada and Europe. Appcast is part of the Stepstone group, a leading digital recruitment platform that connects companies with the right talent and helps people find the right job. 

Job Description

The Senior Data Analyst partners with internal teams to deliver data-driven insights and analytical solutions that support product strategy and business decision making across Appcast. This role is responsible for the full analytics lifecycle, including exploring raw datasets, integrating external data sources, and developing insights, models, and reporting solutions that drive strategic decisions. The ideal candidate brings strong technical and analytical expertise, critical thinking skills, and the ability to communicate complex findings clearly to both technical and non-technical audiences. 

**Please note that candidates for this role must be located in either CO, AZ or MA. 

Job Responsibilities

Stakeholder Analytics  

  • Partner with cross-functional stakeholders to understand business challenges and translate them into data-driven insights and analytical solutions  
  • Present findings, recommendations, and performance insights clearly to both technical and non-technical audiences  
  • Act as a trusted advisor on analytics, measurement strategy, KPI development, performance optimization, and decision science methodologies  
  • Support strategic decision-making through reporting, forecasting, experimentation, and ongoing business and product performance analysis  

Data Exploration & Querying  

  • Query large-scale datasets using SQL in cloud-based environments (e.g., AWS Athena)  
  • Explore, validate, and reconcile data across multiple sources to ensure accuracy, consistency, and usability  
  • Perform deep-dive analyses to identify trends, anomalies, and business opportunities  
  • Partner with Data Engineering teams to define and improve data pipelines and analytical workflows  

Data Transformation & Analysis  

  • Clean, manipulate, and transform complex datasets using Python (e.g., pandas, numpy)  
  • Build analytical frameworks and scalable reporting solutions for recurring business needs  
  • Perform advanced analyses (ie. cohort analysis, funnel analysis, attribution modeling, etc)  
  • Advocate for data quality, governance, and scalable analytical best practices  

Advanced Analytics & Modeling  

  • Develop forecasting models for volume, application trends, and business performance outcomes  
  • Apply statistical methodologies to evaluate product effectiveness and support strategic initiatives  
  • Design and support experimentation and measurement frameworks, including A/B testing and incrementality analysis  

Data Product Development  

  • Design and deliver custom data products (reports, dashboards, datasets, analytical tools)  
  • Collaborate with stakeholders to define requirements and ensure deliverables align with business and product objectives  
  • Own projects end-to-end from intake and scoping to final presentation  
Qualifications

Analytical Thinking  

  • Strong problem-solving skills with the ability to work through ambiguous requests  
  • Ability to connect data insights into business outcomes  
  • Experience with forecasting, modeling, or statistical analysis is a plus  

Technical Skills  

  • Strong SQL skills and experience querying large datasets (Athena, Snowflake, BigQuery, etc.)  
  • Proficiency in Python for data analysis (pandas, numpy; scikit-learn is a plus)  
  • Experience with data visualization tools (Tableau, Looker, Power BI, or similar)  
  • Experience with Master Data Management (MDM) concepts and data governance practices to support consistent, accurate, and scalable analytics across multiple data sources and systems 

Communication & Ownership  

  • Excellent verbal and written communication skills  
  • Ability to present complex analyses to non-technical stakeholders  
  • Proven ability to manage projects independently from start to finish  

Education and Experience

  • Bachelor’s degree in Data Science, Statistics, Economics, Business Analytics, or a related field   
  • Advanced degree (Master’s/MBA) is a plus, not required  
  • 4-6+ years in data analytics, data science, consulting analytics, or related field  
  • Experience working in a client-facing or consulting environment strongly preferred  
  • Experience in recruitment marketing, HR tech, or performance marketing  
  • Familiarity with attribution modeling or multi-touch measurement  
  • Experience working with large-scale event or clickstream data  
  • AWS ecosystem experience 

Travel Requirements 

  • Travel for this position may include quarterly travel to attend internal and external meetings, however, this may vary based on business needs and opportunities. 

Fair Labor Standards Act Status  

  • Salaried Exempt: Personnel will earn their regular salary and not be entitled to overtime pay when they work over 40 hours in a work week. 

Supervisory Responsibilities

  • This position has no supervisory responsibilities  


Additional Information

Appcast recognized as one of Inc Magazine's "Best Workplaces" for 2024! 

  • We’re the best at what we do. We’re the global leader in programmatic recruitment advertising. With advanced technology, unmatched market data and a team of the industry’s best recruitment marketers. 
  • We have an amazing culture driven by great people. Headquartered in Lebanon, N.H. with offices in the U.S., Canada and Europe, Appcast is part of the Stepstone group. To better understand our company culture, read Our Story and check out Working at Appcast on our website.  
  • We take care of our employees. We're dedicated to creating an inviting environment where individuals from diverse backgrounds can thrive and develop. We believe in providing competitive compensation and comprehensive benefits, ensuring our team can support their loved ones and one another. We enjoy fostering a sense of community through dedicated employee networks, fun gatherings, delicious food, and even welcoming furry friends into our workspace. We live our values each day including volunteering and giving back to our communities. 

All your information will be kept confidential according to EEO guidelines. 

Appcast is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee's Form I-9 to confirm work authorization.

E-Verify® is a registered trademark of the U.S. Department of Homeland Security. This employer does not use E-Verify to pre-screen job applicants and will not discriminate based on national origin, citizenship, or immigration status.