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Remote Data Analyst Python Jobs in St Louis, MO (NOW HIRING)

Required Qualifications * 5+ years of experience in data science, advanced analytics, or a related field. * Strong programming skills in Python, R, SQL, or similar tools. * Hands-on experience with ...

Analyst, DataWatcher - US

Creve Coeur, MO · On-site +1

$85K - $110K/yr

Basic scripting skills in languages like Python or PowerShell for automating repetitive tasks, data parsing, or simple tool integrations is preferred. * Proficiency in analyzing and actioning various ...

Must have strong analytical skills, Excel and VBA knowledge, and experience designing models to ... Exposure to Python or R would be a plus. (#58723) Compensation: * Salary range of $160-211K ...

... analyses. * Produce technically precise, clearly written solutions, detailing all assumptions ... Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational ...

Showing results 41-60

Remote Data Analyst Python information

See St Louis, MO salary details

$33.1K

$80.3K

$132.2K

How much do remote data analyst python jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote data analyst python in St. Louis, MO is $80,345.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 per year, depending on experience, location, and employer.

What is a remote data analyst python?

A Remote Data Analyst Python is a data professional who works primarily from a remote location, using Python programming to collect, analyze, and interpret data. Their responsibilities include cleaning and processing data, creating data visualizations, and building models to support business decisions. They often collaborate with teams virtually and use Python libraries such as pandas, NumPy, and matplotlib to handle complex data tasks. This role is ideal for those who have strong analytical skills, proficiency in Python, and the ability to work independently in a remote environment.

What are the key skills and qualifications needed to thrive as a remote data analyst python?

To thrive as a Remote Data Analyst (Python), you need strong analytical skills, proficiency in Python programming, a solid grasp of statistics, and typically a degree in a quantitative field. Expertise with data analysis libraries (such as pandas and numpy), familiarity with data visualization tools (like matplotlib or Tableau), and experience with SQL databases are highly valued. Excellent problem-solving, communication skills, and self-motivation are crucial for collaborating remotely and delivering actionable insights. These skills enable you to efficiently interpret complex data, work independently, and provide valuable business recommendations from a remote setting.

How do remote data analyst python roles typically coordinate with other team members, given the virtual work environment?

Remote Data Analyst Python roles usually involve frequent collaboration with cross-functional teams such as product managers, data engineers, and business analysts through virtual platforms. Communication is commonly facilitated via video meetings, chat tools, and shared project management software to ensure alignment on data requirements and project goals. While working remotely requires strong self-motivation, most organizations support analysts with regular check-ins and clear documentation practices. This collaborative structure helps maintain productivity and ensures that data insights are effectively integrated into decision-making processes.

What is the difference between Remote Data Analyst Python vs Remote Data Analyst R?

AspectRemote Data Analyst PythonRemote Data Analyst R
Required SkillsPython, SQL, data visualization, statistical analysisR, SQL, data visualization, statistical analysis
Work EnvironmentRemote, tech companies, finance, healthcareRemote, research institutions, analytics firms
CertificationsData analysis, Python programming certificationsData analysis, R programming certifications
Common UsageData cleaning, automation, machine learningStatistical modeling, data visualization, reporting

Both roles involve data analysis in remote settings, with Python-focused roles emphasizing automation and machine learning, while R roles focus more on statistical modeling and visualization. The choice depends on the specific tools and tasks preferred by the employer or industry.

Is it possible to work remotely as a remote data analyst Python?

Yes, remote data analyst roles that require Python are widely available, especially as many companies adopt flexible work arrangements. These positions often involve skills in data analysis, programming, and tools like pandas and Jupyter Notebook, making remote work feasible with a reliable internet connection. Certifications and experience can enhance opportunities in remote data analysis jobs.

What remote jobs can you get with Python?

Remote data analyst roles that require Python involve analyzing large datasets, creating reports, and developing data models using tools like pandas and Jupyter Notebook. These positions often require strong programming skills, familiarity with SQL, and the ability to work independently in a virtual environment.

What job categories do people searching Remote Data Analyst Python jobs in St. Louis, MO look for?

The top searched job categories for Remote Data Analyst Python jobs in St. Louis, MO are:

Infographic showing various Remote Data Analyst Python job openings in St. Louis, MO as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $80,345 per year, or $38.6 per hour.

Data Science Advisor - Hybrid

Cigna

Saint Louis, MO • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago


Cigna Healthcare rating

8.3

Company rating: 8.3 out of 10

Based on 239 frontline employees who took The Breakroom Quiz

41st of 891 rated healthcare providers


Job description

Join Evernorth Health Services' Enterprise Data Science team and help solve healthcare's most complex challenges. As a Data Science Advisor, you will apply advanced analytics, machine learning, and AI to deliver insights that improve clinical outcomes, enhance the member experience, and drive business growth. This role offers the opportunity to work on high-impact initiatives, partner with senior leaders, and shape the future of data-driven healthcare solutions.

Responsibilities

  • Lead the design and delivery of advanced data science solutions that align to business and clinical priorities.

  • Develop and deploy predictive models, machine learning solutions, and AI capabilities to drive measurable outcomes.

  • Translate complex data into clear insights and recommendations for business and technical stakeholders.

  • Partner with cross-functional teams (IT, Clinical, Operations) to deliver end-to-end analytics solutions.

  • Apply advanced analytical methods including segmentation, regression, and time-series analysis to solve business problems.

  • Create scalable data pipelines and leverage big data technologies to support analytics initiatives.

  • Present findings to senior leaders to influence strategy and decision-making.

  • Provide thought leadership and mentor others on data science best practices and emerging technologies.

Required Qualifications

  • 5+ years of experience in data science, advanced analytics, or a related field.

  • Strong programming skills in Python, R, SQL, or similar tools.

  • Hands-on experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.

  • Experience developing predictive models using methods such as regression, decision trees, or neural networks.

  • Exposure to big data technologies such as Apache Spark and cloud platforms (e.g., AWS).

  • Knowledge of healthcare data and systems (e.g., claims data, ICD-10) and ability to apply insights to real-world challenges.

  • Ability to communicate complex findings to both technical and non-technical audiences.

  • Strong collaboration, problem-solving, and critical thinking skills.

Preferred Qualifications

  • Master's or PhD in a quantitative field such as Data Science, Statistics, Computer Science, or similar.

  • Experience with GenAI and LLM technologies such as GPT, RAG, or vector databases.

  • Experience with data visualization tools such as Tableau.


If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.For this position, we anticipate offering an annual salary of 107,700 - 179,500 USD / yearly, depending on relevant factors, including experience and geographic location.

This role is also anticipated to be eligible to participate in an annual bonus plan.


At The Cigna Group, you'll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you'll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year, paid holidays, and leaves of absence. For more details on our employee benefits programs, click here.


About The Cigna Group

Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we're dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives.

Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.

If you need a reasonable accommodation to complete the online application process, please email seeyourself@thecignagroup.com for assistance. Please note that this email inbox is dedicated to accommodation requests only and cannot provide application updates or accept resumes.

The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.

Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.


What Cigna Healthcare employees say

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About Cigna

Sourced by ZipRecruiter

Cigna Corporation exists to improve lives. We are a global health service company dedicated to improving the health, well-being and peace of mind of those we serve. Together, with colleagues around the world, we aspire to transform health services, making them more affordable and accessible to millions. Through our unmatched expertise, bold action, fresh ideas and an unwavering commitment to patient-centered care, we are a force of health services innovation. When you work with us, or one of our subsidiaries, you'll enjoy meaningful career experiences that enrich people's lives.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Bloomfield, CT, US

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