1

Senior Python Data Analyst Jobs in Kansas (NOW HIRING)

Sr Decision Science Analyst

Overland Park, KS ยท On-site +1

$87K - $115K/yr

... data simulation skills including SAS and/or Python, MS Excel, Enterprise Reporting BI tools, or similar analytical and reporting/data visualization packages. โ€ข Strong presentation skills and ...

Data Engineer

Overland Park, KS ยท On-site

$100 - $125/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.

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 ...

$18 - $50/hr

Mentorship from senior employees * Individual career development planning * Professional and ... Experience with Python, data analytics, machine learning, or AI technologies. * Familiarity with ...

$18 - $50/hr

Mentorship from senior employees * Individual career development planning * Professional and ... Experience with Python, data analytics, machine learning, or AI technologies. * Familiarity with ...

$18 - $50/hr

Mentorship from senior employees * Individual career development planning * Professional and ... Experience with Python, data analytics, machine learning, or AI technologies. * Familiarity with ...

$18 - $50/hr

Mentorship from senior employees * Individual career development planning * Professional and ... Experience with Python, data analytics, machine learning, or AI technologies. * Familiarity with ...

$18 - $50/hr

Mentorship from senior employees * Individual career development planning * Professional and ... Experience with Python, data analytics, machine learning, or AI technologies. * Familiarity with ...

Showing results 41-60

Senior Python Data Analyst information

What is the difference between Senior Python Data Analyst vs Data Scientist?

AspectSenior Python Data AnalystData Scientist
Required CredentialsBachelor's in Data Science, Statistics, or related field; Python proficiencyBachelor's or Master's in Data Science, Computer Science, or related; Python, R, machine learning skills
Work EnvironmentData analysis teams, business units, reportingResearch, model development, advanced analytics
Employer & Industry UsageBusiness, finance, marketing, healthcareTech companies, research institutions, finance, healthcare
Common Search & ComparisonYesYes

While both roles require Python skills and data analysis expertise, Data Scientists typically engage in advanced modeling, machine learning, and research tasks, whereas Senior Python Data Analysts focus more on interpreting data, generating reports, and supporting business decisions.

What cities in Kansas are hiring for Senior Python Data Analyst jobs?

Cities in Kansas with the most Senior Python Data Analyst job openings:

Infographic showing various Senior Python Data Analyst job openings in Kansas as of July 2026, with employment types broken down into 69% Full Time, 5% Part Time, and 26% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution.

Sr Decision Science Analyst

Overland Park, KS โ€ข On-site, Remote

TreviPay
Finance and Insuranceย โ€ขย 501 - 1,000 employees

$87K - $115K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Job description

At TreviPay, we believe loyalty begins at the payment. Thousands of sellers use our global B2B payments and invoicing network to provide choice and convenience to buyers, open new markets and automate accounts receivables. With integrations to top eCommerce and ERP solutions and flexible trade credit options, TreviPay brings 40 years of experience serving leaders in manufacturing, retail and transportation.
Every day, TreviPay employees are challenged and empowered in a supportive, collaborative, entrepreneurial environment.
As a Senior Decision Science Analyst, you'll sit at the intersection of data, risk, and business strategy. You'll use analytics and predictive modeling to uncover insights, evaluate portfolio performance, and guide critical credit, fraud, and pricing decisions. Partnering with teams across the organization, you'll help solve complex business challenges, influence strategic initiatives, and deliver data-driven solutions that support growth while managing risk.
Responsibilities
โ€ข Deliver and communicate high quality data-driven analyses to key stakeholders and senior management that provide key insights leading to actionable results.
โ€ข Access, cleanse, and analyze relevant internal and external data to support the creation, monitoring, and improvement of effective B2B credit risk management and pricing strategy techniques across for existing account management.
โ€ข Conduct data exploration, data validation, and data audits to identify and address data quality issues and recommend improvements.
โ€ข Support Engineering and Product teams with resolution of roadblocks and interdependencies.
โ€ข Analyze risk and pricing strategies, including the predictive models built for those strategies in Credit and Fraud.
โ€ข Monitor the results of risk and pricing strategies by evaluating performance relative to expectations.
โ€ข Develop monitoring tools to evaluate continued performance of both generic and custom models
โ€ข Support the development (or build yourself) of statistical models and other types of predictive models as appropriate to improve our Credit and Fraud risk position, for both application and portfolio risk.
Requirements:
โ€ข Bachelor's Degree Required
โ€ข Minimum 6 years of proven work experience in a highly analytical environment performing complex business analyses, generating data-driven insights and presenting findings to leadership and other stakeholders.
โ€ข Strong knowledge of B2B credit and/or Business Banking credit risk, pricing, and profitability principles
โ€ข Ability to deal with ambiguity and be flexible enough to shift workload in accordance with changing priorities.
โ€ข Ability to extract, cleanse, merge and analyze data from varied internal and external sources.
โ€ข Strong analytical and data simulation skills including SAS and/or Python, MS Excel, Enterprise Reporting BI tools, or similar analytical and reporting/data visualization packages.
โ€ข Strong presentation skills and proficiency in MS Word and PowerPoint
โ€ข Experience in analyzing segments of data or utilizing tools to identify and explain patterns, trends and/or process improvements
โ€ข Ability to create clear, concise graphs, charts, reports and presentations summarizing analytical results and justifying suggested improvements
โ€ข High performing contributor with ability to collaborate cross-functionally with management, product, technology, compliance and enterprise risk
โ€ข The ability to multitask in a fast-paced environment
โ€ข Strong communication skills, both verbal and written
Preferred Qualifications:
โ€ข Bachelor's or Master's Degree in Statistics, Mathematics or similar quantitative field of study
โ€ข Strong knowledge of B2B and/or Business Banking credit product pricing and profitability principles
โ€ข Statistical modeling experience (logistic regression, machine learning, SVM, and more)
โ€ข Prior leadership experience
Why you will love working at TreviPay
  • Competitive salary
  • Paid parental leave
  • Generous paid time off
  • Medical, dental, vision, FSA, Life/AD&D, long and short term disability
  • 401K matching
  • Employee referral program

At TreviPay we believe:
  • in saying yes to unique and challenging requirements
  • empowered team members are creative team members
  • our products make the customer's day just a little bit better
  • work/life balance makes us all more effective

TreviPay is an Equal Opportunity and Affirmative Action Employer. We welcome all veterans and disabled applicants.
Individuals with disabilities will be provided reasonable accommodation to participate in the job application and/or interview process. Please contact [email protected] to request an accommodation.