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Senior Data Analytics Engineer Jobs in Kansas (NOW HIRING)

Vytalize Health

Associate Data Engineer

Kansas City, KS · On-site

$110K - $132K/yr

Perform exploratory data analysis to understand data patterns, support analytics requests, and help ... senior engineers * Support infrastructure and operational tasks as assigned -- assisting with ...

Parexel

Parexel is seeking a Senior Real-World Evidence, RWE Programmer Join a high-impact team as a remote ... If you are passionate about real-world data, advanced analytics, and delivering meaningful insights ...

Autodesk

$159K - $285K/yr

The Senior Principal Data Scientist will report to Director of Growth and Data Science in the ... behavioral analytics, and AI system design - partnering closely with product, engineering, and ...

Seaboard

Data and Analytics Manager

Merriam, KS · On-site

This role sits between senior leadership and a small but high-impact technical team and is ... Work with the Data Engineer to establish and monitor data quality frameworks * Ensure compliance ...

Associated Wholesale Grocers

Data Engineer

Kansas City, KS · On-site

$107K - $129K/yr

As an Associate Analyst (Data Engineer) on the Data Analytics Team, you will be integral to this journey. Your primary area of responsibility will be building a strong data ecosystem which supports a ...

OTSI

Sr Engineering Technician

Overland Park, KS · Hybrid

Functions as a senior engineering technician, technical design specialist, and/or supervisor ... Analytics (Data Architecture, Data Engineering, Data Migration, Data Modernization, Big Data ...

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Senior Data Analytics Engineer information

See Kansas salary details

$72.2K

$112.7K

$156.1K

How much do senior data analytics engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for senior data analytics engineer in Kansas is $112,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $128,400.00 per year, depending on experience, location, and employer.

What is the difference between Senior Data Analytics Engineer vs Data Scientist?

AspectSenior Data Analytics EngineerData Scientist
CredentialsBachelor's/Master's in Data Science, Computer Science, or related fieldsBachelor's/Master's in Data Science, Statistics, or related fields
Work EnvironmentFocus on data pipelines, analytics tools, and reporting systemsFocus on model development, statistical analysis, and predictive modeling
Industry UsageUsed in analytics teams to build data infrastructure and insightsUsed in R&D, product development, and research teams for modeling

While both roles require strong analytical skills and similar educational backgrounds, Senior Data Analytics Engineers primarily focus on building and maintaining data infrastructure and delivering insights through analytics tools. Data Scientists, on the other hand, concentrate on developing predictive models and statistical analysis. The roles often collaborate but serve different functions within data-driven organizations.

How does a senior data analytics engineer typically collaborate with cross-functional teams to deliver insights?

As a Senior Data Analytics Engineer, you will frequently work with stakeholders in product, marketing, and engineering to translate business needs into data solutions. This involves gathering requirements, designing and building data pipelines, and presenting actionable insights. Effective communication and regular meetings with team members ensure that data models and dashboards align with business objectives. You may also mentor junior analysts and engineers, fostering a collaborative and knowledge-sharing environment.

What does a senior data analytics engineer do?

A Senior Data Analytics Engineer is responsible for designing, developing, and maintaining scalable data pipelines and analytical solutions. They work closely with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability. Their role often includes optimizing data workflows, implementing best practices in data management, and mentoring junior team members. Additionally, they help translate business needs into technical solutions to support data-driven decision making.

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

To thrive as a Senior Data Analytics Engineer, you need expertise in statistics, data modeling, and programming languages such as Python or SQL, typically backed by a degree in computer science, engineering, or a related field. Experience with data analytics tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Data Engineer are highly valued. Strong problem-solving, communication, and leadership skills help you translate complex data insights into actionable business strategies and mentor junior team members. These capabilities are crucial for delivering accurate data-driven solutions that drive organizational decision-making and innovation.
What are the most commonly searched types of Data Analytics Engineer jobs in Kansas? The most popular types of Data Analytics Engineer jobs in Kansas are:
What are popular job titles related to Senior Data Analytics Engineer jobs in Kansas? For Senior Data Analytics Engineer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Senior Data Analytics Engineer jobs in Kansas look for? The top searched job categories for Senior Data Analytics Engineer jobs in Kansas are:
What cities in Kansas are hiring for Senior Data Analytics Engineer jobs? Cities in Kansas with the most Senior Data Analytics Engineer job openings:
Senior Data Analytics Engineer jobs near you
Infographic showing various Senior Data Analytics Engineer job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $112,666 per year, or $54.2 per hour.

IT Manager - Enterprise Data & Analytics

Associated Wholesale Grocers, Inc.

Kansas City, KS • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 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

28th 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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