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Freelance Python Data Analyst Jobs in New Mexico

Sr. Data Analyst, Online Investigations

House, NM · On-site

$77K - $97K/yr

The Senior Data Analyst will be responsible for ad-hoc data request support, and developing and ... Experience with Python. Minimum Education: * The knowledge, skills and abilities typically acquired ...

... as Python, R, Visual Basic, or similar. • Strong statistical, mathematical, and analytical ... and refine data models. • Demonstrated capability to analyze operations, evaluate model ...

Data Analytics

Albuquerque, NM · On-site

$71K - $150K/yr

Job Title: Data Analytics Job Category: Information Technology Time Type: Full time Minimum ... Proficiency in at least one programming language such as Python, R, Visual Basic, or similar.

What Data Analytics contributes to Cardinal Health: The Data & Analytics Function oversees the ... Hands-on experience with Python scripting for data engineering and automation preferred.

Digital Analyst Internships

Albuquerque, NM · On-site

$95K - $112K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Roswell, NM · On-site

$97K - $115K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Las Cruces, NM · On-site

$97K - $115K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

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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.

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 popular job titles related to Freelance Python Data Analyst jobs in New Mexico? For Freelance Python Data Analyst jobs in New Mexico, the most frequently searched job titles are:
What job categories do people searching Freelance Python Data Analyst jobs in New Mexico look for? The top searched job categories for Freelance Python Data Analyst jobs in New Mexico are:
What cities in New Mexico are hiring for Freelance Python Data Analyst jobs? Cities in New Mexico with the most Freelance Python Data Analyst job openings:
Lead Python Developer, Data Analytics

Lead Python Developer, Data Analytics

CVS Health

Santa Fe, NM • On-site

$67K - $199K/yr

Other

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


CVS Health rating

5.8

Company rating: 5.8 out of 10

Based on 4,252 frontline employees who took The Breakroom Quiz

77th of 99 rated pharmacies


Job description

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

Position Summary

Aetna’s Reporting Solutions team is looking for an initiative-taking Lead Python Developer with 3+ years of experience in software engineering with Python in a professional environment to join our Reporting Solutions team.

This Lead Python Developer role is a part of the Aetna Commercial’s Sales Enablement department that partners with business leaders and key stakeholders to optimize the achievement of strategic business objectives.

In this exciting new role, the candidate will be accountable for designing, developing new Python code for new analytics capabilities and content.

The work environment supports and thrives on out-of-the box thinking, creative talent, and a consultative approach.

Specifically, this role will be responsible for developing and delivering new capabilities to support health care analytics and reporting, benefits evaluations, and operational decision making by Aetna internal and external constituents. This work requires technical, analytic, and consultative skills.

**The position may be remote or hybrid anywhere in the US depending on candidate location and commute to a hub location

Key Responsibilities

· Leverage Python to develop new reporting and analytics using healthcare data (medical, pharmacy, lab)

· Create business applications to deliver clinical or analytic solutions to constituents in a self-service fashion using Plotly Dash Enterprise.

· Drive forward enterprise modernization opportunities leveraging Python and cloud-native technologies.

· Refactor legacy programming code to improve turn-around-times and to take advantage of modern technologies.

· Communicate with key stakeholders in a way that is easy to understand and actionable.

· Define and deliver new technical capabilities in support of healthcare business initiatives that drive short- and long-term objectives.

· Work to expand, scale, and automate the analyses available to the broader team and the Aetna field.

· Ability to mentor and knowledge share with peers.

· Monitor and maintain applications and production processes required to deliver on business commitments.

· Use analytics and technology to solve business needs as well as to demonstrate to customers the value of Aetna’s integration with CVS Health.

Required Qualifications

· 3+ years of experience with a Python Data Engineering Stack in a professional environment.

· 3+ Experience with SQL query development, working in a data warehouse environment as well as the ability to work with large data sets from multiple data sources.

· Proficient in usage of the following Python libraries: Polars, NumPy, Pandas.

· Proficient with: XML, JSON, YAML.

· Experience with AI prompting to assist with development with tools like Copilot and, Claude.

· Proficient in the use of CI /CD pipelines and Git integration.

Preferred Qualifications

· 5+ years in a technical analytics/reporting role, with 3+ years of experience focusing on Python, SQL in a professional environment.

· Experience with callback architecture, including client-side callbacks, pattern-matching callbacks, and callback optimization techniques for complex multi-page applications.

· Experience with Redis for application caching, session management, and real-time data storage.

· Experience with PostgreSQL including complex query optimization, indexing strategies, and database performance tuning.

· Expertise Celery for distributed task queue management and background job processing, including task routing, retry logic, error handling, and monitoring.

· Expertise in XlsxWriter for generating complex Excel reports with multiple worksheets, charts, conditional formatting, and data validation.

· Experience with front end development, e.g., REACT, HTML, CSS.

· Experience with cloud computing providers (GCP, Azure, AWS)

· Experience with specialized Python data management libraries, e.g., with DBT.

· Experience migrating on-premises capabilities and analytical workflows to the cloud, leveraging cloud-native technologies to improve efficiency and effectiveness, e.g., with Google Cloud Platform.

· Excellent English communication and presentation skills, ensuring clear and concise communication with our team members and fostering a smooth and effective collaboration process.

· A strong ability to encourage teamwork and actively support the team’s objectives is essential.

Education

· Bachelor's degree preferred/specialized training/relevant professional qualification.

Pay Range

The typical pay range for this role is:

$67,900.00 - $199,144.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Additional details about available benefits are provided during the application process and on Benefits Moments (https://learn.bswift.com/cvshealth-mainland) .

We anticipate the application window for this opening will close on: 06/22/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

CVS Health is an equal opportunity/affirmative action employer, including Disability/Protected Veteran — committed to diversity in the workplace.


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