1

Freelance Python Data Analyst Jobs in Colorado (NOW HIRING)

Data Insights Analyst II

Denver, CO · On-site

$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 ...

Data Scientist

Colorado Springs, CO · On-site

$155K - $190K/yr

Bachelors Degree Years of Experience: 7+ years experience in data science/analytics engineering/software development in big-data environments. Additional Experience: * Expert Python skills; heavy use ...

Data Scientist

Colorado Springs, CO · On-site

$155K - $190K/yr

Bachelors Degree Years of Experience: 7+ years experience in data science/analytics engineering/software development in big-data environments. Additional Experience: * Expert Python skills; heavy use ...

Conduct data science functions on structured and unstructured data to streamline intelligence analysis and production, enrich results, and develop and maintain Python code. * Author cogent and ...

The Role The Staff Data Analyst will join the Block Compliance Analytics team chartered to put data ... Experience with automation using Python, R or Prefect Block takes a market-based approach to pay ...

next page

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.

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 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:
Data Insights Analyst II

Data Insights Analyst II

Modivcare, Inc.

Denver, CO • On-site

$67K - $86K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago


Modivcare rating

6.5

Company rating: 6.5 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

607th of 886 rated healthcare providers


Job description

Are you passionate about making a difference in people's lives? Do you enjoy working in a service-oriented industry? If so, this opportunity may be the right fit for you!
The Data Insights Analyst is responsible for analyzing complex data sets to generate meaningful insights that drive strategic business decisions. This role collaborates with cross-functional teams to support data-driven decision-making by identifying trends, optimizing performance, and providing actionable recommendations. The ideal candidate possesses strong analytical skills, business acumen, and expertise in data visualization tools to communicate findings effectively.
This role...
  • Data Analysis & Insights: Analyze large and complex data sets to identify trends, patterns, and opportunities that inform business strategies.
  • Visualization & Reporting: Develop dashboards and reports using tools such as Tableau, Power BI, or Looker to present key insights clearly and concisely.
  • Stakeholder Collaboration: Partner with business leaders, product teams, and operational teams to understand data needs and translate them into actionable insights.
  • Performance Optimization: Provide data-driven recommendations to improve business processes, efficiency, and performance.
  • Predictive Analytics: Utilize statistical modeling and machine learning techniques to forecast trends and outcomes.
  • Data Quality & Governance: Ensure data accuracy, integrity, and consistency across various systems and sources.
  • Storytelling with Data: Synthesize complex information into digestible insights for both technical and non-technical audiences.

We are interested in speaking with candidates with the following...
  • Education: Bachelor's degree in Data Science, Statistics, Business Analytics, Computer Science, Economics, or a related field.
  • Experience: 3+ years of experience in data analysis, business intelligence, or a similar role.
  • Technical Skills:
    • Proficiency in SQL for querying and manipulating data.
    • Experience with data visualization tools (e.g., Tableau, Power BI, Looker).
    • 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 Skills:
    • Strong problem-solving and critical-thinking skills.
    • Excellent communication skills with the ability to translate data into meaningful business insights.
    • Ability to work independently and collaboratively in a fast-paced environment.
  • Nice-to-Have:
    • Experience in A/B testing and experimentation.
    • Understanding of machine learning techniques and AI-driven analytics.

Salary: $67,500-$86,475
The physical demands described are representative of those that must be met by an employee to successfully perform the essential functions of the position. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions of the job.
Primarily seated work; extensive computer and telephone use; occasional standing, walking, reaching, bending, and lifting up to 10 lbs.
Modivcare's positions are posted and open for applications for a minimum of 5 days. Positions may be posted for a maximum of 45 days dependent on the type of role, the number of roles, and the number of applications received. We encourage our prospective candidates to submit their application(s) expediently so as not to miss out on our opportunities. We frequently post new opportunities and encourage prospective candidates to check back often for new postings.
We value our team members and realize the importance of benefits for you and your family.
Modivcare offers a comprehensive benefits package to include the following:
  • Medical, Dental, and Vision insurance
  • Employer Paid Basic Life Insurance and AD&D
  • Voluntary Life Insurance (Employee/Spouse/Child)
  • Health Care and Dependent Care Flexible Spending Accounts
  • Pre-Tax and Post --Tax Commuter and Parking Benefits
  • 401(k) Retirement Savings Plan with Company Match
  • Paid Time Off
  • Paid Parental Leave
  • Short-Term and Long-Term Disability
  • Tuition Reimbursement
  • Employee Discounts (retail, hotel, food, restaurants, car rental and much more!)

Modivcare is an Equal Opportunity Employer.
  • EEO is The Law - click here for more information
  • Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled
  • We consider all applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, handicap or disability, or status as a Vietnam-era or special disabled veteran in accordance with federal law. If you need assistance, please reach out to us at hr.recruiting@modivcare.com

What Modivcare employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom