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Python Data Analyst Jobs in Kansas (NOW HIRING)

Truity Credit Union

Data & AI Engineer

Lawrence, KS · On-site

$104K - $125K/yr

... Python, Node.js and SQL . You'll collaborate with teams such as Software Engineering, Data, Business Analysts, and Other technology stakeholders to create intelligent workflows, build/refine models ...

Truity Credit Union

Data & AI Engineer

Kansas City, KS

$104K - $125K/yr

... Python, Node.js and SQL . You'll collaborate with teams such as Software Engineering, Data, Business Analysts, and Other technology stakeholders to create intelligent workflows, build/refine models ...

TAMKO

Manufacturing Data Scientist

Phillipsburg, KS

Proficiency in Python and SQL for data analysis, modeling, and machine learning. * Hands-on experience building and validating machine learning models on tabular and time-series data, including ...

Ascend Learning

Sr Data Scientist

Leawood, KS · On-site +1

WHAT YOU'LL DO As a Senior Data Scientist in the Data & Business Intelligence org, you'll be the ... Proficiency in Python, R, Snowflake ML for statistical analysis and model development * Experience ...

NinjaOne

Tableau Analyst

Kansas, KS · On-site +1

Excels at the intersection of data analysis and stakeholder enablement, with the ability to ... Experience with Python, pandas, Jupyter notebooks preferred. * High proficiency in SQL, including ...

The Atlas Group

IT Analyst Developer

Wichita, KS

Design system integrations between factory systems, ERP platforms, and data analytics tools. Write, test, and deploy code using appropriate programming languages (e.g., X++, C#, .NET, Python, SQL ...

The Atlas Group

IT Analyst Developer

Wichita, KS · On-site

Design system integrations between factory systems, ERP platforms, and data analytics tools. Write, test, and deploy code using appropriate programming languages (e.g., X++, C#, .NET, Python, SQL ...

Murphy-Hoffman Company

Data Engineer

Leawood, KS · On-site

$111K - $133K/yr

The data engineer works with the data architect and business analysts on source-to-target mappings ... Python/PySpark. * Ability to work in a team environment and independently as * Ability to work ...

WellSky

Data Scientist

Overland Park, KS

$2.5K/yr

Experience designing evaluation methodologies for AI/ML or LLM systems (accuracy metrics, annotation, error analysis). * Proficiency in Python and SQL, and experience working within a modern data ...

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Python Data Analyst information

What does a Python Data Analyst do?

A Python Data Analyst leverages the Python programming language to collect, process, and analyze large sets of data. They use tools and libraries like Pandas, NumPy, and Matplotlib to clean data, perform statistical analysis, and create visualizations that help organizations make data-driven decisions. Their role often involves extracting insights from complex datasets, automating data workflows, and communicating findings to stakeholders through reports or dashboards. Python Data Analysts play a crucial part in turning raw data into actionable business intelligence.

How do Python Data Analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

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

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

What Does a Python Data Analyst Do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding business context, and communicating findings, which require human judgment. Data analysts who develop skills in programming, data visualization, and machine learning can adapt to new technologies and continue to add value in data-driven decision-making.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as SQL, Python, and data visualization, along with practical experience and certifications. Employers value diverse backgrounds and experience, making it possible to start a data analyst career at any age.

What are the key skills and qualifications needed to thrive as a Python Data Analyst, and why are they important?

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

Is Python a high paying job?

Python Data Analysts are generally well-compensated due to their technical skills in programming, data manipulation, and analysis. Salaries vary based on experience, location, and industry, but proficiency in Python often leads to higher earning potential compared to many other entry-level roles in data analysis. Certifications and knowledge of related tools like SQL or machine learning can further increase salary prospects.

Is Python useful for data analysts?

Python is highly useful for data analysts because it offers powerful libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. It is widely used in the industry for automating tasks, building data pipelines, and performing statistical analysis, making it a valuable skill for the role.
More about Python Data Analyst jobs
What are the most commonly searched types of Python Data Analyst jobs in Kansas? The most popular types of Python Data Analyst jobs in Kansas are:
What are popular job titles related to Python Data Analyst jobs in Kansas? For Python Data Analyst jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Python Data Analyst jobs in Kansas look for? The top searched job categories for Python Data Analyst jobs in Kansas are:
Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Kansas as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 88% Full Time, 5% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.
IT Manager - Enterprise Data & Analytics

IT Manager - Enterprise Data & Analytics

Associated Wholesale Grocers, Inc.

Kansas City, KS • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago

Associated Wholesale Grocers rating

6.8

Company rating: 6.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

25th of 120 rated grocery stores

Job description


IT Manager - Enterprise Data & Analytics
Location: 5000 Kansas Avenue Kansas City, KS 66106
Work Model: Hybrid
Department: Enterprise Data & Analytics
Make us your BEST Choice!
The IT Manager - Enterprise Data & Analytics provides leadership and direction for enterprise-wide analytics solutions that enable business decision-making, operational excellence, and strategic transformation across AWG. This role is highly business stakeholder-facing and balances long-term enterprise analytics platform modernization with high-urgency, ad hoc analytical needs that drive immediate business outcomes.
This leader partners closely with business executives (C-Level and officers) and functional leaders (Merchandising, Finance, Operations, Marketing, Distribution & Logistics) to translate business priorities into scalable, reliable, and actionable analytics solutions. The role requires a strong understanding of the end-to-end data management lifecycle, modern cloud-based data platforms, and the ability to direct teams with urgency, clarity, and accountability.
Key Responsibilities
Enterprise Analytics Strategy & Modernization (15%)
  • Partner with senior business stakeholders to define and evolve the enterprise analytics vision and roadmap
  • Lead modernization of enterprise data platforms using cloud technologies (Azure), including scalable architecture and standardized frameworks
  • Drive legacy data warehouse and analytics decommissioning aligned to future-state architecture
  • Promote adoption of advanced analytics, including predictive, prescriptive, and AI-enabled insights
  • Establish and maintain enterprise standards for Power BI, including data modeling, performance, and visualization best practices
  • Advocate for analytics-driven decision-making, operational efficiency, and cost optimization

Solution Delivery & Execution (30%)
  • Prioritize analytics initiatives aligned to enterprise strategy and business impact
  • Balance ad hoc analytical needs with long-term platform development
  • Partner with Data Architecture and Engineering teams to deliver scalable, enterprise-grade solutions
  • Ensure solutions are secure, high-quality, and delivered on time and within budget
  • Evaluate tools and technologies for scalability, supportability, and cost efficiency
  • Manage vendor relationships and ensure accountability for delivery and service levels

Operational Excellence & Service Management (30%)
  • Ensure stability, availability, and performance of analytics platforms and solutions
  • Lead change and release management processes to minimize business risk
  • Define and monitor SLAs, system health metrics, and performance standards
  • Gather and act on stakeholder feedback to improve service quality and delivery
  • Enforce best practices, documentation standards, and consistency across the team

Financial & People Leadership (25%)
  • Lead, coach, and develop a high-performing analytics team
  • Drive performance management, accountability, and continuous improvement
  • Support budgeting, forecasting, and cost management activities
  • Monitor spend and manage against budget expectations
  • Build a culture of ownership, urgency, and results-driven execution

Management & Leadership Expectations
  • Provide clear direction, coaching, and career development for team members
  • Delegate effectively while maintaining accountability for outcomes
  • Lead through ambiguity and drive alignment across stakeholders
  • Foster strong collaboration, communication, and stakeholder engagement

Qualifications
Education & Experience
  • Bachelor's degree in MIS, Computer Science, or related field (or equivalent experience)
  • 10+ years of experience in enterprise data management and analytics
  • 7+ years of leadership experience managing technical or analytics teams
  • Experience in retail, wholesale, or CPG environments preferred

Technical & Domain Expertise
  • Strong understanding of the end-to-end data lifecycle: ingestion, modeling, governance, analytics, and consumption
  • Experience with modern data platforms and tools, including:
    • Azure Data Factory, Databricks, Synapse Analytics, Data Lake / Delta Lake
    • CI/CD, DevOps, Infrastructure as Code (e.g., Terraform)
    • Python / PySpark / notebook-based development
    • Power BI or Tableau for enterprise analytics
  • Experience with data governance, data quality frameworks, and access control models
  • Familiarity with AI/ML-enabled analytics and real-time data architectures
  • Understanding of lakehouse architecture and enterprise semantic modeling

Leadership & Professional Competencies
  • Strong executive presence with the ability to translate analytics into business outcomes
  • Proven ability to balance strategic initiatives with urgent business needs
  • Excellent communication, storytelling, and stakeholder management skills
  • Data-driven, outcomes-oriented mindset
  • Ability to navigate ambiguity, prioritize effectively, and drive execution
  • Consulting or analytics transformation experience preferred

Working Environment
  • Standard office / hybrid work environment
  • Collaboration across business and IT functions
  • Occasional extended hours aligned to project delivery needs

Core Job Competencies
  • Enterprise Analytics Leadership - Drives strategy and execution of scalable analytics solutions
  • Business Partnership - Aligns analytics capabilities with business priorities and outcomes
  • Technical Acumen - Applies deep expertise in modern data platforms and architectures
  • Execution & Delivery - Ensures consistent, high-quality solution delivery
  • People Leadership - Builds and develops high-performing teams
  • Strategic Thinking - Balances long-term transformation with immediate business needs
  • Communication & Influence - Engages and aligns stakeholders at all levels

Associated Wholesale Grocers, Inc. (AWG) is the nation's largest cooperative food wholesaler to independently owned supermarkets, serving 1,100 member companies and 3,500 locations throughout 33 states from 9 wholesale division support centers. Consolidated sales for AWG in 2024 were $12.1 billion. In addition to its cooperative wholesale operations, the company also operates subsidiary companies that provide certain real estate and supermarket development services, and pharmaceutical products. For more information, visit AWGinc.com.
Benefits:
  • Medical, Dental, & Vision Insurance
  • Health Savings Account
  • Dependent Care Flexible Spending Account
  • Paid Vacation, Holiday, and Sick Time
  • 401(k) with 4% match along with 3 other contributions
  • Tuition Reimbursement
  • Basic & Supplemental Life and AD&D
  • Employee Assistance Program
  • Short-Term and Long-Term Disability
  • Wellness Program
  • Yearly Holiday Bonus

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