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Weekend Python Data Analyst Jobs in Colorado (NOW HIRING)

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

Data Analyst II - Marketing

Littleton, CO · On-site

$63.15K - $90K/yr

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

Data Analyst II - Marketing

Littleton, CO · On-site

$63.15K - $90K/yr

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

New

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, 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 ...

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 ...

Senior Data Analyst

Denver, CO · On-site

$110K - $130K/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

$110K - $130K/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

$88.50K - $111.70K/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

Aurora, CO · On-site

$100K - $110K/yr

The Senior Data Analyst will identify operational revenue cycle performance improvement ... Experience in STATA, Python or R (or similar data science tool/language); and visualization tools ...

Sr Data Analyst

Denver, CO · On-site

$70 - $80/hr

Sr Data Analyst - Contract - Greenwood Village, CO - $70.00 - $80.00/hr. The final salary or hourly ... Good to have skills in Python, Bash, or C++. CS Degree preferred but not required Support APVS ...

Senior Data Analyst

Boulder, CO · On-site +1

$89.20K - $112.50K/yr

The Senior Data Analyst will identify operational revenue cycle performance improvement ... Experience in STATA, Python or R (or similar data science tool/language); and visualization tools ...

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 ...

Epic Clarity Data Analyst

Aurora, CO · On-site

$90K - $100K/yr

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 ...

Senior Data Analyst

Boulder, CO

$89.20K - $112.50K/yr

We are seeking a talented professional to join us as a Data Analyst to develop and deliver data ... Proficient in SQL (any dialect), R and Python * Expertise with spreadsheet-based tools like Google ...

Senior Data Analyst

Boulder, CO · On-site

$89.20K - $112.50K/yr

We are seeking a talented professional to join us as a Data Analyst to develop and deliver data ... Proficient in SQL (any dialect), R and Python * Expertise with spreadsheet-based tools like Google ...

Financial Data Analyst

Denver, CO · Remote

$60K - $80K/yr

... oriented Analyst who thrives at the intersection of finance and data. This person will own ... Python experienceComprehensive health, dental, and vision insurance401(k) with employer ...

Mid Level Data Analyst

Denver, CO · On-site

$60 - $68/hr

Ensure no outliers are left out in data analysis ... Skills & Requirements Good to have skills in Python, Bash, or C++. CS Degree preferred but not ...

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Weekend Python Data Analyst information

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 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 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:
Data Analyst II - Marketing

Data Analyst II - Marketing

EchoStar

Littleton, CO

$63.15K - $90K/yr

Full-time

Medical, Retirement

Posted 12 days ago


EchoStar rating

6.9

Company rating: 6.9 out of 10

Based on 69 frontline employees who took The Breakroom Quiz

53rd of 76 rated telecommunications companies


Job description

Company Summary

EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products.
Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.


Department Summary

Our Retail Wireless team, serving our Boost Mobile and Gen Mobile brands, is redefining consumer expectations through new platforms, new business models and new ways of thinking. Equipped with a passion for change and the power to drive it, we continue to push boundaries and be a disruptive force in the market.


Job Duties and Responsibilities

Candidates must be willing to participate in at least one in-person interview.

You will bridge the gap between complex marketing data and actionable business strategy by designing the data structures that power our performance reporting. Your mission is to solve the puzzle of customer identity and campaign attribution, ensuring that every marketing dollar is backed by precise audience segmentation and performance insights. By transforming raw data into visual stories, you will enable our leadership to make high-stakes decisions that drive customer growth and engagement.

What Success Looks Like (Objectives)

  • Audit our current cohort building processes and implement optimized SQL/Python workflows that reduce audience segment latency within your first 90 days

  • Deliver a suite of automated Tableau dashboards that provide real-time visibility into campaign health and conversion trends for all major stakeholders

  • Partner cross-functionally with Creative and Product teams to align data insights with business objectives, ensuring a unified approach to our customer journey

  • Execute rigorous A/B tests using statistical methods to ensure every marketing experiment yields actionable and significant results

  • Leverage AI-driven automation tools to streamline the cleaning and manipulation of large datasets, significantly increasing the scale and speed of our data mart operations


Skills, Experience and Requirements

Core Skills and Competencies (What you’ll bring) 

  • Demonstrate advanced technical expertise in SQL and Python to build complex data structures, moving beyond simple queries to developing scalable analytical environments

  • Apply a deep understanding of statistical concepts like hypothesis testing and confidence intervals to validate the significance of campaign results and protect against data bias

  • Use strong data storytelling skills to translate raw, multi-source data into interactive, easy-to-digest reports that drive executive-level decision-making

  • Build strong working relationships across diverse teams, demonstrating cross-functional awareness to ensure data engineering efforts support broader marketing and product goals

  • Manage the end-to-end lifecycle of campaign data within complex ecosystems, demonstrating a track record of data platform mastery

  • Demonstrate AI Literacy by identifying opportunities to integrate generative AI or automated scripting into data cleaning and visualization workflows to optimize resource efficiency

Minimum Requirements

  • Minimum Education: Bachelor’s Degree in Data Analytics, Statistics, Marketing, or a related quantitative field

  • Minimum Experience: 2 years of experience in data analytics or marketing engineering, specifically within a high-growth marketing environment and utilizing A/B testing methodologies

  • Required Technical Skills: Must have at least 2 years of experience with:

    • Advanced SQL (window functions, CTEs, and complex joins)

    • Python for data cleaning and manipulation

    • Data Visualization tools (Tableau, PowerBI, etc.)

    • Familiarity with the Adobe Experience Platform (including Adobe CDP, Adobe AJO, or Adobe CJA)

Visa sponsorship not available for this role


Salary Ranges
Compensation: $63,150.00/Year - $90,000.00/Year
Benefits

We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: EchoStar Benefits.

The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location. 

Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.

The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.

We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process.
EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make echostar.com and jobs.echostar.com accessible to users. Please contact leaves@dish.com if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.
Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish)

Qualifications:

Core Skills and Competencies (What you’ll bring) 

  • Demonstrate advanced technical expertise in SQL and Python to build complex data structures, moving beyond simple queries to developing scalable analytical environments

  • Apply a deep understanding of statistical concepts like hypothesis testing and confidence intervals to validate the significance of campaign results and protect against data bias

  • Use strong data storytelling skills to translate raw, multi-source data into interactive, easy-to-digest reports that drive executive-level decision-making

  • Build strong working relationships across diverse teams, demonstrating cross-functional awareness to ensure data engineering efforts support broader marketing and product goals

  • Manage the end-to-end lifecycle of campaign data within complex ecosystems, demonstrating a track record of data platform mastery

  • Demonstrate AI Literacy by identifying opportunities to integrate generative AI or automated scripting into data cleaning and visualization workflows to optimize resource efficiency

Minimum Requirements

  • Minimum Education: Bachelor’s Degree in Data Analytics, Statistics, Marketing, or a related quantitative field

  • Minimum Experience: 2 years of experience in data analytics or marketing engineering, specifically within a high-growth marketing environment and utilizing A/B testing methodologies

  • Required Technical Skills: Must have at least 2 years of experience with:

    • Advanced SQL (window functions, CTEs, and complex joins)

    • Python for data cleaning and manipulation

    • Data Visualization tools (Tableau, PowerBI, etc.)

    • Familiarity with the Adobe Experience Platform (including Adobe CDP, Adobe AJO, or Adobe CJA)

Visa sponsorship not available for this role

Education:UNAVAILABLEEmployment Type: FULL_TIME

What EchoStar employees say

Pay

Benefits

Hours and flexibility

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