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Freelance Python Data Analysis Jobs in Kansas (NOW HIRING)

IPRIME

Data Engineer

Overland Park, KS · On-site

$90 - $120/hr

Automate data workflows with Cloud Functions and perform large-scale data analysis using Python and Pandas. * Collaborate in Agile teams, following DevOps best practices for deployment and monitoring.

WellSky

Data Analyst

Overland Park, KS · On-site

Produce referral pattern, competitive analysis, market/benchmark extracts, and validate outputs ... Scripting experience (e.g., Python) for data transformation and automation. Job Expectations:

WellSky

Data Analyst

Overland Park, KS · Remote

$2.5K/yr

Produce referral pattern, competitive analysis, market/benchmark extracts, and validate outputs ... Scripting experience (e.g., Python) for data transformation and automation. Job Expectations:

WellSky Corporation

Data Analyst

Overland Park, KS · On-site

$70 - $95/hr

Produce referral pattern, competitive analysis, market/benchmark extracts, and validate outputs ... Scripting experience (e.g., Python) for data transformation and automation.**Job Expectations:

Sunixa Solutions Inc

Data Scientist

Overland Park, KS · On-site

$50 - $55/hr

We are looking for a skilled Data Scientist to analyze large amounts of raw information to find ... Strong programming skills in Python / R, SQLHands-on experience with Machine Learning, Deep ...

Koch

Business Data Analyst

Wichita, KS · On-site

$65 - $90/hr

Experience presenting data, analysis, or recommendations through coursework, internships, projects ... Familiarity with SQL, Python, or other analytics tools * Demonstrated economic thinking or ability ...

Stryker

$35/hr

Proficiency in SQL and at least one statistical/analytical programming language (Python or R) * Coursework or applied project experience with observational/real-world data (claims, EHR, or registry ...

New

Stryker

$35/hr

Proficiency in SQL and at least one statistical/analytical programming language (Python or R) * Coursework or applied project experience with observational/real-world data (claims, EHR, or registry ...

New

Stryker

$35/hr

Proficiency in SQL and at least one statistical/analytical programming language (Python or R) * Coursework or applied project experience with observational/real-world data (claims, EHR, or registry ...

New

Stryker

$35/hr

Proficiency in SQL and at least one statistical/analytical programming language (Python or R) * Coursework or applied project experience with observational/real-world data (claims, EHR, or registry ...

New

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Freelance Python Data Analysis information

What is freelance Python data analysis?

Freelance Python data analysis involves using the Python programming language to analyze and interpret data for clients on a project or contract basis. Freelancers in this field typically work with datasets to extract insights, visualize results, and help businesses make data-driven decisions. They often use libraries such as pandas, NumPy, and matplotlib, and may work across industries like finance, marketing, healthcare, and technology. Freelancers enjoy flexibility in choosing their projects and clients, and often work remotely.

What are the key skills and qualifications needed to thrive as a freelance Python data analyst?

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 backed by a relevant degree or proven portfolio. Experience with tools such as Pandas, NumPy, Jupyter Notebooks, and data visualization libraries like Matplotlib or Seaborn is typically required. Excellent problem-solving abilities, communication skills, and the ability to manage projects independently distinguish top performers in this role. These skills enable analysts to deliver actionable insights, meet client expectations, and maintain a successful freelance business.

What are some common challenges freelance Python data analysts face when working with clients remotely?

Freelance Python data analysts often encounter challenges such as clarifying project requirements, managing client expectations about deliverables, and ensuring timely communication across different time zones. Working remotely can also mean troubleshooting data access or security issues, especially if clients have strict data privacy policies. Building trust through regular updates and transparent reporting is key to successful collaborations in this role.

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

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

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

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The top searched job categories for Freelance Python Data Analysis jobs in Kansas are:

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Freelance Python Data Analysis jobs near you
Infographic showing various Freelance Python Data Analysis job openings in Kansas as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 92% In-person, 4% Hybrid, and 4% Remote job distribution.

Data Analyst -- Quality Engineering Analytics

Artiminds

Wichita, KS • On-site

Other

Posted 6 days ago

Job description

Role Overview

We are seeking a detail-oriented and analytical Data Analyst to support a Quality Engineering team through advanced data analysis, reporting, and scorecard development. This role works with quality datasets to generate actionable insights, identify trends, and support leadership decision-making through executive dashboards and analytics.

Key Responsibilities

1. Data Collection & Preparation

  • Partner with client stakeholders to gather data from internal systems
  • Validate, cleanse, and preprocess datasets for accuracy, completeness, and consistency
  • Structure datasets for multi-dimensional analysis (time period, program/area, severity level, employee attributes)

2. Data Analysis & Insights

  • Perform detailed analysis across quality metrics and defect data
  • Conduct month-over-month and year-over-year comparisons to surface patterns and deviations
  • Generate weekly and monthly trend insights

3. Trend Analysis & Reporting

  • Build analytical models and recurring reports
  • Run comparative analysis across time periods (monthly, quarterly, annual) and organizational segments (business units, functions, tenure groups)

4. Benchmarking & Standardization

  • Align reporting and scorecard formats to enterprise or site-level frameworks (e.g., BCA or equivalent)
  • Standardize KPIs, metric definitions, and reporting templates so they scale across multiple locations

5. Visualization & Deliverables

  • Develop executive-level dashboards using Excel, Power BI, Tableau, or PowerPoint
  • Deliver trend charts, heatmaps and distribution analyses, and leadership-ready insight summaries

6. Continuous Improvement

  • Incorporate stakeholder feedback to refine analysis, dashboards, and outputs
  • Expand analytics scope with new metrics, dimensions, or predictive insights

Required Qualifications

  • Bachelor's degree in Data Analytics, Statistics, Engineering, or a related field
  • 3–7 years in data analysis, reporting, or analytics
  • Advanced Excel and SQL; Python or R preferred
  • Power BI and/or Tableau
  • Hands-on experience with large datasets, data cleansing, and trend analysis

Preferred Qualifications

  • Manufacturing or aerospace domain analytics
  • Scorecard / KPI framework development
  • Comfort with both structured and unstructured data sources

Key Skills

  • Strong analytical and problem-solving ability
  • Data storytelling and executive communication
  • Attention to detail and data accuracy
  • Stakeholder management and collaboration
  • Continuous improvement mindset


Apply