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Data Analytics Jobs in Kansas (NOW HIRING)

Job Title: Sr. Specialist, Quality Data Analytics Travel Required?: Travel - up to 10% of time Posting Start Date: 8/20/26 Hybrid No Relocation Assistance Offered Job Number#175321 - Topeka, Kansas ...

As the E2E Data and Analytics Specialist you will be responsible for the execution of the analytical strategy and data governance across Hill's Supply Chain functions, including Network Operations ...

Senior Data Analyst

Overland Park, KS ยท On-site

$90 - $130/hr

... Strategy and Analytics team, the Senior Data Analyst will leverage media, measurement, and data analytics experience to serve as a senior individual contributor on MMGY's Data Strategy team ...

This role supports enterprise analytics efforts by developing meaningful visualizations, ensuring data quality, and assisting in process improvements that strengthen Midwest Energys analytics ...

This role supports enterprise analytics efforts by developing meaningful visualizations, ensuring data quality, and assisting in process improvements that strengthen Midwest Energy's analytics ...

Senior Data Analyst

Overland Park, KS

$85K - $107K/yr

As a key piece of the Data Strategy and Analytics team, the Senior Data Analyst will leverage media, measurement, and data analytics experience to serve as a senior individual contributor on MMGY ...

Senior Data Analyst

Overland Park, KS ยท On-site

$85K - $107K/yr

As a key piece of the Data Strategy and Analytics team, the Senior Data Analyst will leverage media, measurement, and data analytics experience to serve as a senior individual contributor on MMGY ...

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Data Analytics information

See Kansas salary details

$21

$48

$84

How much do data analytics jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for data analytics in Kansas is $48.83, according to ZipRecruiter salary data. Most workers in this role earn between $39.23 and $55.29 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

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

The most popular types of Data Analytics jobs in Kansas are:

What cities in Kansas are hiring for Data Analytics jobs?

Cities in Kansas with the most Data Analytics job openings:

Infographic showing various Data Analytics job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $101,558 per year, or $48.8 per hour.

Sr. Specialist, Quality Data Analytics

Colgate

Topeka, KS โ€ข On-site

$97 - $137/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired 3 days ago.ย Applications are no longer accepted.


Job description

A part of Colgate-Palmolive since 1976, Hill's Pet Nutrition offers the highest-quality pet nutrition available through product lines Prescription Dietยฎ and Science Dietยฎ. Veterinarians worldwide recommend and feed their own pets Hill's products more than any other brand of pet food.
Available in approximately 80 countries around the world, our extensive line of products includes more than 60 Prescription Diet brand pet foods and more than 50 Science Diet brand pet foods.
We believe all animals should be loved and cared for during their lifetimes. That is why we are proud our pet foods can make a difference in your pet's life.
A career at Hillโ€™s Pet Nutrition or Colgate-Palmolive is an excellent opportunity if you seek a global experience, constant challenge, and development opportunities in an environment that respects work/life effectiveness.

Job Title: Sr. Specialist, Quality Data Analytics

Travel Required?: Travel - up to 10% of time

Posting Start Date: 8/20/26

Hybrid

No Relocation Assistance Offered
Job Number#175321 - 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 for Quality Data Analytics maintains master data integrity within the ERP system for ingredient and finished product specifications while building AI-enabled early-warning systems to detect process anomalies. You will design well-documented data models that integrate ERP and laboratory information systems to trigger risk-mitigating actions across cross-functional teams. This role is vital for bridging technical datasets with operational excellence, providing automated dashboards and insights that ensure manufacturing-ready formulations and robust production monitoring.

Responsibilities

SAP Data Governance: Maintains master data integrity for ingredient and finished product specifications (PDM & HUP) and leads the extraction and cleaning of quality data from SAP S4/ECC tables.

Manufacturing Intelligence: Develops AI-enabled early-warning systems to identify process anomalies, leveraging automated alerts to lead cross-functional teams in implementing timely risk-mitigating actions.

Data Engineering: Designs and aggregates complex manufacturing datasets from ERP and laboratory information systems into documented, actionable data models for the Quality organization.

Cross-Functional Integration: Partners with Product Development, Procurement, and Analytical Services to ensure seamless nutrient data flow and provides insights to optimize product formulations for manufacturing consistency.

Reporting & Visualization: Builds automated dashboards to communicate technical SAP-derived trends and analytical findings to plant leadership and non-technical stakeholders to drive a culture of data-informed excellence.

Required Qualifications

Bachelorโ€™s Degree in Science, Technology, Engineering, Math, Computer Science or any other related field.

4+ years of experience in ERP Data Management or Data Analytics or 2 + years of relevant experience with a Masterโ€™s degree.

Experience building or working within data analytics and/or AI computing platforms.

Demonstrated expertise in developing actionable strategies from data-driven trends and potential quality issues.

Preferred Qualifications

Masterโ€™s Degree or Professional Certification in Data Analytics or Data Engineering.

Understanding of food or pet food production facilities and associated Quality Assurance programs.

Advanced proficiency with data transformation and modern AI tools.

  • Familiarity with SAP PDM or SAP HUP.

Acute focus on data integrity, specifically understanding how data errors in SAP translate to nutritional imbalances in final products.

Compensation and Benefits
Salary Range $97,000.00 - $137,000.00 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 in 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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