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Data Analytics Python Jobs in Kansas (NOW HIRING)

Scopely

... analytics, financial analysis, data science, or a similar quantitative role * 2+ years' experience using SQL/Python, including complex queries from multiple data sources * 2+ years' experience ...

DHL

Business Data Analyst II

Wichita, KS · On-site

$55K - $90K/yr

... analytics, business intelligence, or a related field, required * Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean, and transform data, preferred

DPDHL

Business Data Analyst II

Wichita, KS · On-site

$55K - $90K/yr

... analytics, business intelligence, or a related field, required * Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean, and transform data, preferred

Global Partners

Analytics Engineer

Newton, KS

$118K - $177K/yr

... and data modeling. * Some experience in Python, R or other Object-Oriented Programming language is a great accelerator. * Knowledge of common orchestration and automation tools such as Dagster or ...

WellSky

Data Analyst

Overland Park, KS · On-site

... into production analytics, and partners with product and engineering to deliver trusted, data ... Scripting experience (e.g., Python) for data transformation and automation. Job Expectations:

WellSky

Data Analyst

Overland Park, KS

$2.5K/yr

... into production analytics, and partners with product and engineering to deliver trusted, data ... Scripting experience (e.g., Python) for data transformation and automation. Job Expectations:

WellSky

Healthcare Data Analyst

Overland Park, KS

$2.5K/yr

Leverage advanced analytics tools for reporting needs. * Analyze trends and patterns in both ... Proficiencyin Python and/or SQL. * Experience building andmaintainingdashboards ...

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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 Aug 2, 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.

Is 40 too late for data science?

Data Analytics Python roles often value skills and experience over age, and many professionals transition into data science later in their careers. Learning relevant tools like Python, SQL, and machine learning can help you enter the field regardless of age, and continuous education or certifications can improve your prospects.

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 are Data Analytics Python professionals?

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, and why are they important?

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.

Is Python useful for data analysts?

Python is highly useful for data analysts as 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 models, and handling large datasets, making it a valuable skill for the role.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication, which are difficult for AI to fully replicate. Therefore, while AI may change some aspects of the job, it is unlikely to fully replace data analysts in the near future.

What is the salary for Python data analytics?

The salary for a Python data analyst typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals with advanced skills in data visualization, machine learning, and certifications may earn higher salaries. Entry-level positions generally start lower, while senior roles can exceed this range.

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.

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:
What job categories do people searching Data Analytics Python jobs in Kansas look for? The top searched job categories for Data Analytics Python jobs in Kansas are:
Data Analytics Python jobs near you
Infographic showing various Data Analytics Python job openings in Kansas as of July 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $100,446 per year, or $48.3 per hour.

IT Manager - Enterprise Data & Analytics

Associated Wholesale Grocers

Kansas City, KS • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 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

27th of 122 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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