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Data Analytics Python Jobs in Kansas (NOW HIRING)

Analytics Engineer II

Overland Park, KS · On-site

$90K - $115K/yr

... dbt, and Python while contributing to data quality, governance, and AI-enabled analytics ... capabilities. The Analytics Engineer II partners with Data Engineering, Business Intelligence ...

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 ...

Data Engineer

Overland Park, KS · On-site

$108K - $130K/yr

Analyze and document workflows for complex data-related challenges by identifying patterns, trends ... Exposure to Python * Exposure to cloud data platforms (Google Cloud / BigQuery) * Exposure to data ...

Data Engineer

Kansas City, KS · On-site

$110K - $132K/yr

... Python, Delta Lake, and orchestration tools within Azure and Databricks • Recommend best ... Data Analytics, Power BI, Azure SQL, Azure Cosmos DB, and Azure Database for PostgreSQL • ...

Advanced proficiency with data science toolkits (e.g., Python NumPy, SciPy, Scikit-learn, TensorFlow, R, Spark ML, Azure ML), programming and scripting for reproducible analysis, and building ...

Robust experience using both SQL and Python for data analysis, modelling and automation. * Strong understanding of statistical modelling, experimental design and model evaluation. * Creative and ...

Sr Data & AI Scientist

Leawood, KS · On-site +1

$151K - $215K/yr

Advanced proficiency with data science toolkits (e.g., Python NumPy, SciPy, Scikit-learn, TensorFlow, R, Spark ML, Azure ML), programming and scripting for reproducible analysis, and building ...

Showing results 21-40

Data Analytics Python information

See Kansas salary details

$23K

$100.4K

$163.8K

How much do data analytics python jobs pay per year?

As of Sep 13, 2026, the average yearly pay for data analytics python in Kansas is $100,446.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,726.00 and $122,730.00 per year, depending on experience, location, and employer.

What is a data analytics Python professional?

Data Analytics Python professionals are specialists who use the Python programming language to analyze, interpret, and visualize data. They apply statistical techniques, build predictive models, and generate insights to help organizations make data-driven decisions. Their work often involves cleaning and preparing data, using libraries like Pandas, NumPy, and Matplotlib, and communicating findings to stakeholders. These professionals are in high demand across industries due to the growing importance of data in business strategy.

What are the key skills and qualifications needed to thrive as a data analytics Python professional?

To thrive as a Data Analytics Python professional, you need a strong background in statistics, data interpretation, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools and libraries such as Pandas, NumPy, Matplotlib, Jupyter Notebooks, and possibly certifications in data analytics or Python are highly valuable. Critical thinking, problem-solving ability, and effective communication help translate complex data findings into actionable business insights. These skills are essential for extracting meaningful information from data and driving data-informed decisions in organizations.

What are some typical challenges faced when working as a data analytics Python professional, and how can they be addressed?

Data Analytics Python professionals often encounter challenges such as handling large and complex datasets, ensuring data quality, and optimizing code for performance. Collaborating with cross-functional teams to understand business requirements and communicating insights clearly can also be demanding. To address these challenges, it's important to stay updated with best practices in data cleaning, leverage efficient libraries like pandas and NumPy, and engage in regular communication with stakeholders to align on project goals. Additionally, participating in code reviews and continuous learning can help maintain high standards and drive professional growth.

What is the difference between Data Analytics Python vs Data Analyst?

AspectData Analytics PythonData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone specific, often data analysis or business certifications
Work EnvironmentData science teams, tech companies, analytics departmentsBusiness units, finance, marketing, consulting firms
Tools & TechnologiesPython, Jupyter, Pandas, NumPy, visualization librariesExcel, SQL, Tableau, Power BI

Data Analytics Python focuses on using Python programming for data analysis, requiring coding skills and advanced statistical knowledge. In contrast, Data Analysts often work with tools like Excel and SQL for data interpretation and reporting. Both roles are essential in data-driven industries but differ in technical depth and toolsets.

Is Python good for data analysts?

Python is widely used by data analysts due to its simplicity, extensive libraries like pandas and NumPy, and strong community support. It enables efficient data manipulation, analysis, and visualization, making it a valuable skill for the role.

What is the salary of data analytics Python?

The salary for a Data Analytics Python role typically ranges from $60,000 to $120,000 annually, depending on experience, location, and industry. Professionals with strong skills in Python, data visualization, and machine learning tools tend to earn higher salaries.

What are popular job titles related to Data Analytics Python jobs in Kansas?

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

Infographic showing various Data Analytics Python job openings in Kansas as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $100,446 per year, or $48.3 per hour.

Sr. Specialist, Quality Data Insights

Topeka, KS • On-site

Colgate-Palmolive Company
Manufacturing • 10K+ employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Colgate-Palmolive rating

6.4

Company rating: 6.4 out of 10

Based on 23 frontline employees who took The Breakroom Quiz


Job description

Relocation Assistance Offered Within Country
Job Number #175986 - Topeka, Kansas, United States
Who We Are
Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!
Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.
 

The Sr. Specialist, Quality Data & Insights transforms global consumer and veterinary complaint data into actionable intelligence to elevate product quality and pet parent trust. This role ensures compliance by extracting, validating, and evaluating data from global systems (e.g., Wilke-Global, CRS, SAP), overseeing complaint and adverse event investigations, and ensuring timely closure per quality and regulatory standards. The position improves traditional monitoring through automated early-warning systems, predictive watch lists, and Production Run Alerts (PRA) to identify and escalate emerging quality risks. The Sr. Specialist designs and maintains robust data models and infrastructure, enabling fast, data-informed decisions. This role partners cross-functionally to align data architecture with business needs, supports complaint-proof design for new product launches, and leads monthly complaint review forums, translating complex findings into concise, impactful insights for all stakeholders.
 
Responsibilities:
Data Management, Integrity and Compliance

  • Extract data from global databases (Wilke-Global, CRS database), maintain tracking tables, review data for accuracy, and close adverse event complaints.
  • Lead oversight of consumer complaint investigations and ensure completion per quality and regulatory requirements.
  • Provide monthly complaint reports to plants and contract manufacturers (Comans) and support audits and regulatory visits (e.g., FDA).
  • Update complaint Standard Operating Procedures (SOP).

Advanced Trend Intelligence & Alerts

  • Elevate traditional complaint monitoring by developing automated early-warning systems.
  • Maintain a predictive "Watch List" to identify emerging consumer trends and monitor complaint metrics, enabling proactive intervention before market impact.
  • Manage the identification of high-risk issues exceeding established thresholds to generate Production Run Alerts (PRAs) and deliver ad hoc reports on various complaint metrics.
  • Data Engineering & Infrastructure.
  • Use data analytics platforms to design and aggregate consumer and veterinary complaint data.
  • Transform raw data from global databases and SAP into well-documented, actionable data models for the Quality organization.

Cross-Functional Collaboration & Investigation

  • Partner with cross-functional stakeholders to align data architecture with business needs.
  • Provide data-driven support during the process to ensure new product launches are designed to minimize consumer complaints and maximize product superiority from Day 1. Support Root Cause Analysis efforts with cross-functional teams.

Executive Communication, Reporting & Meetings

  • Lead monthly complaint review meetings (including Quality, Supply Chain, Marketing, Legal, and S&T).
  • Communicate technical analytical concepts to non-technical stakeholders and departmental leadership in a compelling manner, driving a culture of data-informed decision-making and clear, actionable outcomes.

Required Qualifications:

  • Bachelor's degree in Business, Economics, Statistics, Mathematics, Engineering, Data Science, Computer Science, Marketing, or a related field.
  • 4+ years of experience in performing and applying data analysis/analytics, compliance, risk management or quality control.
  • Experience with querying, cleaning, and integrating datasets from multiple sources, building and using pivot tables, and creating custom data visualizations.


Preferred Qualifications:

  • Master’s Degree or Professional Certification in Data Analytics or Data Engineering.
  • Understanding of food/pet food production facilities and associated Quality Assurance programs.
  • Proficiency with programming languages such as Python and SQL and with data transformation and AI tools.
  • Ability to translate quantitative datasets and technical data metrics into clear, risk-focused, and actionable narratives that inform strategic decision-making through data storytelling, and collaborate and communicate cross-functionally to resolve underlying consumer issues.
  • Strong oral and written English skills.
  • Enhanced ability to gather relevant information efficiently and use data to support high-stakes recommendations for operational improvement.
  • Ability to translate "data speak" into "business action," creating clear narratives for executive stakeholders.
  • Mastery of modern analytics workflows and the ability to query, clean, and integrate datasets from multiple sources, build and use pivot tables, and create custom data visualizations while leveraging plant-floor data to drive informed decisions and business outcomes.
  • A deep commitment to the consumer experience, taking quick action to resolve identified quality issues.


Compensation and Benefits
Salary Range $107,000.00 - $125,000.00 USD
Pay is determined based on experience, qualifications, and location. Salaried employees may also be eligible for discretionary bonuses, profit-sharing, and long-term incentives for Executive-level roles.
Benefits: Salaried employees enjoy a comprehensive benefits package, including medical, dental, vision, basic life insurance, paid parental leave, disability coverage, and participation in the 401(k) retirement plan with company matching contributions subject to eligibility requirements. Additional benefits include a minimum of 15 vacation/PTO days (hourly employees receive a minimum of 120 hours) and 13 paid holidays (vacation days are prorated based on the employee's hire date within the calendar year). Paid sick leave is adjusted based on role and location in accordance with local laws. Detailed information regarding paid sick leave entitlements will be provided to employees upon hiring and may be subject to adjustments based on changes in legislation or company policies.
Our Commitment to Inclusion
Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives  to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.
Equal Opportunity Employer
Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.
Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.
For additional Colgate terms and conditions, please click here.
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About Colgate-Palmolive

Sourced by ZipRecruiter

Colgate-Palmolive is a leading global consumer products company, tightly focused on Oral Care, Personal Care, Home Care and Pet Nutrition. Colgate sells its products in over 200 countries and territories around the world under such internationally recognized brand names as Colgate, Palmolive, elmex, Tom's of Maine, Sorriso, Speed Stick, Lady Speed Stick, Softsoap, Irish Spring, Protex, Sanex, Elta MD, PCA Skin, Ajax, Axion, Fabuloso, Soupline and Suavitel, as well as Hill's Science Diet and Hill's Prescription Diet.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1806

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