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Weekend Python Data Analyst Jobs in Colorado (NOW HIRING)

Senior Data Analyst

Denver, CO · On-site

$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 · On-site

$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 ...

Experience with Python or R for analytics and automation. * Experience with Microsoft Power Platform (Power Automate, Power Apps). * Familiarity with cloud data platforms such as Azure or AWS. Tools ...

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 ...

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 ...

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 ...

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 ...

Must demonstrate intermediate-advanced SQL Proficiency; experience using STATA or similar data science tool/language (Python or R) is helpful. Strong analytical competency with the ability to collect ...

Accountability Data Analyst

Denver, CO · On-site +1

$75K - $85K/yr

Extended hours during the evening or the weekend may be required by business needs. 15% Travel ... Data Analysis, Validation, & Technical Assistance Conduct statistical analyses using large-scale ...

Accountability Data Analyst

Denver, CO · On-site +1

$75K - $85K/yr

Extended hours during the evening or the weekend may be required by business needs. 15% Travel ... Data Analysis, Validation, & Technical Assistance Conduct statistical analyses using large-scale ...

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 ...

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 ...

Accountability Data Analyst

Denver, CO · On-site

$75K - $85K/yr

Extended hours during the evening or the weekend may be required by business needs. * 15% Travel ... The Colorado Department of Education (CDE) is seeking a skilled Accountability Data Analyst to join ...

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 ...

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 ...

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 ...

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Showing results 1-20

Weekend Python Data Analyst information

What are some common challenges faced by Weekend Python Data Analysts, and how can they be managed?

Weekend Python Data Analysts often face challenges such as limited time to access stakeholders or full datasets, since many team members may not be available outside standard business hours. To manage these challenges, it’s important to communicate needs and data access requirements ahead of time, and to document findings thoroughly for seamless handovers. Being self-sufficient with Python tools and data wrangling is critical, as you may need to troubleshoot issues independently. Proactively setting clear goals for each shift can also help maximize productivity during weekend hours.

What are Weekend Python Data Analysts?

Weekend Python Data Analysts are professionals who work part-time or on weekends to analyze data using Python programming. They typically handle tasks such as cleaning data, performing statistical analyses, creating data visualizations, and generating reports. These analysts often support organizations that require flexible staffing or have projects that need attention outside of regular business hours. Their expertise in Python enables them to efficiently manipulate large datasets and extract actionable insights. This role is ideal for those seeking flexible work arrangements or supplementary income in the data analytics field.

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

To thrive as a Weekend Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a background in statistics or data science—often supported by a relevant degree or certification. Familiarity with data visualization tools (like Tableau or Power BI), SQL databases, and Python libraries such as Pandas and NumPy is typically expected. Excellent problem-solving, time management, and communication skills help you interpret data insights and present findings effectively during limited weekend hours. These skills ensure accurate data analysis, actionable recommendations, and efficient collaboration, even within a compressed work timeframe.

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

AspectWeekend Python Data AnalystWeekend Data Scientist
Required SkillsPython, data analysis, visualization, SQLPython, machine learning, statistical modeling, data analysis
CertificationsData analysis certifications, Python certificationsData science certifications, Python certifications
Work EnvironmentPart-time, project-based, remote or on-sitePart-time, project-based, remote or on-site
Industry UsageBusiness analytics, finance, marketingResearch, AI development, advanced analytics

Weekend Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for business insights. Weekend Data Scientists handle more complex modeling and machine learning tasks, often requiring advanced statistical skills. Both roles are part-time, flexible, and commonly used across industries, but Data Scientists typically require a deeper technical background.

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:
Senior Data Analyst

Senior Data Analyst

StepStone Group

Denver, CO • On-site

$89K - $113K/yr

Full-time

Re-posted 13 days ago


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.
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