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Python Data Analysis Jobs in Kansas City, MO (NOW HIRING)

... data. * Experience modernizing SAS ETL workflows into Snowflake using Snowflake SQL, Snowpark Python, and automated pipeline orchestration * 3+ years of experience in related business analysis * 1+ ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Kansas City, MO · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Engineer

Kansas City, KS

$110K - $132K/yr

Experience with modern, Python-based data orchestration tools like Dagster, Prefect or Airflow * Experience building solutions for analytical reporting and business intelligence * Experience with a ...

Python for data processing, automation, or analytics * Familiarity with .NET-based application environments * Knowledge of AI/ML concepts and model development workflows * Experience with CI/CD ...

Data Engineer

Leawood, KS · On-site

$111K - $133K/yr

Develops data transformations and curated datasets using SQL, T-SQL, dbt, Python, and PySpark to support reporting, analytics, data science, and AI / machine learning use cases. * Creates and ...

Build and maintain Python backend services supporting operational AI and data workflows. * Design ... Troubleshoot system issues and contribute to root‑cause analysis. * Work with relational and ...

Experience with modern, Python-based data orchestration tools like Dagster, Prefect or Airflow * Experience building solutions for analytical reporting and business intelligence * Experience with a ...

Showing results 41-60

Python Data Analysis information

See Kansas City, MO salary details

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How much do python data analysis jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for python data analysis in Kansas City, MO is $57.20, according to ZipRecruiter salary data. Most workers in this role earn between $47.16 and $65.00 per hour, depending on experience, location, and employer.

What is a python data analysis?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the typical responsibilities of someone working in python data analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.

What are the key skills and qualifications needed to thrive in python data analysis, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

What are the most commonly searched types of Python Data Analysis jobs in Kansas City, MO?

The most popular types of Python Data Analysis jobs in Kansas City, MO are:

What are popular job titles related to Python Data Analysis jobs in Kansas City, MO?

For Python Data Analysis jobs in Kansas City, MO, the most frequently searched job titles are:

What job categories do people searching Python Data Analysis jobs in Kansas City, MO look for?

The top searched job categories for Python Data Analysis jobs in Kansas City, MO are:

Infographic showing various Python Data Analysis job openings in Kansas City, MO as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $118,985 per year, or $57.2 per hour.

Senior Data Scientist, Provider Data Science

Thyme Care, Inc.

Mission, KS • On-site

$166.50 - $185/hr

Other

Re-posted 9 days ago


Thyme Care rating

8.5

Company rating: 8.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

Overview

We exist to create a more connected, compassionate, and confident experience for people with cancer and those who care for them. We make it easier to get answers, access high-quality care quickly, and feel supported throughout treatment and beyond.

Today, Thyme Care is a market-leading value-based oncology care enabler, partnering with national and regional health plans, providers, and employers to deliver better outcomes and lower costs for thousands of people across the country. Our model combines high-touch human support with powerful technology and AI to bring together everyone involved in a person’s cancer journey: caregivers, oncologists, health plans, and employers.

As a tech-native organization, we believe technology should strengthen the human connection at the center of care. Through data science, automation, and AI, we simplify complexity, improve collaboration, and help care teams focus on what matters most: supporting people through cancer.

Looking ahead, our vision is bold: to become a household name in cancer care, where every person diagnosed asks for Thyme Care by name. If you’re inspired to make cancer care more human and to help reimagine what’s possible, we’d love to meet you. Together, we can build a future where every person with cancer feels truly cared for, in every moment that matters.

What you’ll do

As a Senior Data Scientist, you will join our Data team to help us build and maintain strong analytic capabilities supporting Thyme Care’s mission. You will model data, create visualizations to report to stakeholders, and deliver insights that drive action.

In this position, you will partner with our Product, Engineering, Operations, and Data Science teams to define and lead improvements to our data pipelines, setting direction that enables faster, more effective care delivery and measurement. You will own efforts to reduce latency between our data and applications, designing and building a scalable data architecture and healthcare data models that enable our pharmacy interventions and provider incentive programs.

  • Gain a deep understanding of our core data architecture and lead improvements to our data pipelines, balancing near-term needs with long-term architectural health.
  • Own and lead the development of data models that make it possible to analyze the nuances of our EMR drug delivery and drug economics in ways that scale across contracts and pharmacy interventions.
  • Establish key KPIs and reporting standards that help stakeholders make our operations more efficient.
  • Partner with stakeholders to understand and translate their business requirements into technical plans. This involves developing data models, pipelines, and analytics dashboards. For example, you own the end-to-end data life cycle of data ingestion from a practice, standardization and cleaning, core modeling and BI dashboarding for both internal and external partners.
  • Lead the development of utilization and quality metrics and serve as a domain expert for stakeholders across the company. Additionally, you will leverage our data assets for business opportunities and strategic initiatives at Thyme Care.
What you’ve done
  • Deep experience working with healthcare data such as electronic health records, claims, or prior auth.
  • Expertise in analytics, data modeling, and data transformation, and have used that expertise to influence decisions beyond your immediate scope.
  • Deep expertise in dbt and SQL, with experience designing, rebuilding, and owning complex data models and pipelines that ensure reliability and scalability across the data platform.
  • Experience with large healthcare datasets, ideally in a healthcare-focused technology startup, health plan, or provider group with mature data structures and pipelines.
  • A working knowledge of Python or R and experience with Looker or similar BI tools for data analysis and visualization is a plus.
  • Previous direct involvement drug or Medicare Part D data is a plus.
What leads to success

Act with our members in mind. Thyme Care’s mission, and in particular, our member experience, matters deeply to you.

Move with purpose. You’re biased to action. You know how to identify and prioritize your initiative’s needs and do what it takes to ensure that urgent and important needs are acted on immediately.

Seek diverse perspectives. You are humble and actively seek feedback from others, eager to learn and share knowledge.

Experience. You have worked with large healthcare datasets, ideally in a health plan or healthcare-focused technology startup with mature data structures and pipelines as an Analytics Engineer or Data Engineer. Experience with medical claims, pharmacy claims, eligibility files, and other relevant healthcare data is essential for building data marts for reporting and analysis.

Technical ability. You have deep expertise in analytics, data modeling, and data transformation, with strong proficiency in dbt and SQL to build and maintain data models and pipelines. A working knowledge of Python or R and experience with Looker or similar BI tools for data analysis and visualization is a plus.

Clear communication. You can effectively convey your thoughts and ideas to both technical and non-technical colleagues and stakeholders.

Comfort with ambiguity. You have a successful track record working at scaling organizations, in fast-paced environments, and at ambitious startups. You navigate through challenges and find solutions in uncertain situations.

Our values

At Thyme Care, our core values guide us in everything we do: Act with our members in mind, Move with purpose, and Seek diverse perspectives. They anchor our business decisions, including how we grow, the products we make, and the paths we choose—or don’t choose.

Our salary ranges are based on paying competitively for our size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Thyme Care. Individual pay decisions are based on several factors, including qualifications, experience level, skillset, and balancing internal equity relative to other Thyme Care employees. The base salary for this role is $166,500-$185,000. The salary range could be lower or higher than this if the role is hired at another level.

We recognize a history of inequality in healthcare. We’re here to challenge the status quo and create a culture of inclusion through the care we give and the company we build. We embrace and celebrate a diversity of perspectives in reflection of our members and the members we serve. We are an equal-opportunity employer.

Be cautious of recruitment fraud, and always confirm that communications are coming from an official Thyme Care email.

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What Thyme Care employees say

Pay

Hours and flexibility

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