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Ai Data Analytics Jobs in Kansas (NOW HIRING)

Sr Data & AI Scientist

Leawood, KS · On-site +1

$151K - $215K/yr

This role designs and implements advanced analytical and AI/LLM-based solutions - including generative AI and conversational data-access tools - that span multiple business functions, translating ...

Job Title: Sr. Specialist, Quality Data Analytics Travel Required?: Travel - up to 10% of time ... Develops AI-enabled early-warning systems to identify process anomalies, leveraging automated ...

Sr. Data Engineer - AI

Kansas City, KS

$110K - $132K/yr

Ensure data is accurate, current, compliant, and aligned with enterprise AI governance standards ... Able to independently analyze and troubleshoot complex data and integration issues and apply ...

Sr. Data Engineer - AI

Kansas City, KS

$110K - $132K/yr

Ensure data is accurate, current, compliant, and aligned with enterprise AI governance standards ... Able to independently analyze and troubleshoot complex data and integration issues and apply ...

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

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Showing results 1-20

Ai Data Analytics information

See Kansas salary details

$21

$48

$84

How much do ai data analytics jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for ai 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 AI data analytics?

AI Data Analytics refers to the use of artificial intelligence technologies to analyze and interpret large volumes of data. By leveraging machine learning algorithms, natural language processing, and other AI methods, professionals in this field can uncover patterns, make predictions, and drive data-driven decision-making. AI Data Analytics is widely used across industries to optimize operations, improve customer experiences, and gain competitive insights. The role typically involves working with big data platforms, developing models, and communicating findings to stakeholders.

What skills and qualifications are needed to thrive as an AI data analyst?

To thrive as an AI Data Analyst, you need a strong background in statistics, data analysis, and machine learning, typically supported by a degree in computer science, mathematics, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms like Tableau, along with knowledge of AI frameworks such as TensorFlow or PyTorch, is essential. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex data and present actionable insights to stakeholders. These skills are crucial for driving data-driven decision-making and maximizing the impact of AI initiatives within organizations.

How does an AI data analytics professional typically collaborate with cross-functional teams within an organization?

AI Data Analytics professionals frequently work alongside departments such as marketing, operations, IT, and product development to interpret complex datasets and provide actionable insights. Collaboration often involves translating business needs into data-driven solutions, communicating findings in accessible terms, and ensuring that analytics projects align with organizational goals. Effective teamwork and clear communication are crucial, as analytics professionals must bridge the gap between technical data analysis and practical business application.

What is the difference between Ai Data Analytics vs Data Scientist?

AspectAi Data AnalyticsData Scientist
Required CredentialsBachelor's in Data Science, Computer Science, or related fields; certifications in AI and data analyticsBachelor's or higher in Data Science, Statistics, Computer Science; advanced degrees preferred
Work EnvironmentTech companies, finance, healthcare; focus on AI-driven data analysisResearch labs, tech firms, finance; focus on data modeling and insights
Employer & Industry UsageUsed in industries leveraging AI for predictive analytics and automationUsed across industries for data modeling, predictive analytics, and research

Ai Data Analytics professionals focus on applying AI techniques to analyze data and develop automated solutions, while Data Scientists build models and interpret data to generate insights. Both roles require strong analytical skills and familiarity with data tools, but Ai Data Analytics emphasizes AI implementation, whereas Data Scientists focus on statistical modeling and research.

Is data analysis a good career with AI?

A career in AI Data Analytics is considered promising due to the increasing demand for data-driven decision making and AI integration across industries. Professionals in this field need strong skills in data manipulation, statistical analysis, and tools like Python or R. The role offers growth opportunities, competitive salaries, and the chance to work on innovative technologies.

What does an AI data analyst do?

An AI data analyst collects, processes, and analyzes large datasets to extract insights that inform business decisions. They use tools like Python, R, and machine learning algorithms to identify patterns and trends, often working closely with data engineers and data scientists to develop predictive models and automate data workflows.

What are popular job titles related to Ai Data Analytics jobs in Kansas?

For Ai Data Analytics jobs in Kansas, the most frequently searched job titles are:

What cities in Kansas are hiring for Ai Data Analytics jobs?

Cities in Kansas with the most Ai Data Analytics job openings:

Infographic showing various Ai 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.

Data Analytics Engineer

Overland Park, KS

$113K - $135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago


Job description

LOCATION: OVERLAND PARK, KS or OMAHA, NE

COMPANY OVERVIEW

Heritage Vet Partners (HVP) is the nation's leading veterinary partnership specializing in mixed/large animal practices.  We believe there is great value in the legacy, customer relationships, brand, culture, and team that veterinarians have built. Our goal is to provide services and support around the foundation veterinarians have developed. Most importantly, we believe that together we can best meet the changing needs of the customers and industries that we serve. We are very excited about the future of mixed and large animal practice and want our partnering practices and veterinarians to enjoy the success of Heritage Vet Partners.  HVP currently has offices in Omaha, NE, Overland Park, KS and West Point, NE, as well as clinics/locations in 14 states!  Learn more on our website!  

ABOUT THE ROLE

Our data warehouse sits at the center of how the business runs: it is used by stakeholders ranging from executives to finance to operations to clinic level providers and staff. We have data architecture/engineering to keep the pipelines flowing and report builders turning models into insight. What we need now is the person who owns the layer in between.

As our Analytics Engineer, you will own the SQL side of the house: the curated schema of reporting views, business logic, and semantic model foundations that transform raw warehouse tables into clean, consistent, trustworthy data products. When a metric shows up on an executive dashboard or inside one of our applications, your work is the reason everyone trusts the number.

This is a hands-on builder role for someone who thinks in data models, writes SQL fluently and defensively, and takes pride in being the person who makes messy source data make sense. You'll also lean on AI tools as part of how you build using coding assistants to move faster on SQL and documentation without ever outsourcing your judgment about what's correct. You will be the connective tissue between the engineers who land the data and the analysts who present it, and you will have real ownership of how that middle layer is designed.

WHAT YOU'LL OWN

  • The reporting schema: Design, build, and maintain the reporting view layer of our SQL Server / Azure SQL data warehouse: the governed, documented views that serve as the single contract between raw data and everything downstream.
  • Business logic in SQL: Translate business definitions into durable SQL logic so metrics are defined once, in one place, and reused everywhere.
  • Semantic model foundations: Own the structure of our Analysis Services / Power BI semantic models: tables, relationships, and core measures, so report builders can work from a clean, performant model rather than reinventing logic per report.
  • Data quality and reconciliation: Build validation checks and reconciliation queries that catch problems before stakeholders do. Investigate discrepancies, trace them to root cause, and fix them at the right layer.
  • Performance of the reporting layer: Write efficient T-SQL, tune the queries and views that power reporting workloads, and know when a view should become an indexed view, a materialized table, or a redesign.
  • Documentation and lineage: Maintain clear documentation of the reporting schema, metric definitions, and data lineage so the warehouse is understandable, not tribal knowledge.
  • AI-assisted development: Use AI coding assistants (e.g., GitHub Copilot, ChatGPT, Claude) to accelerate T-SQL development, documentation, and code review while retaining full ownership and accountability for the correctness of what goes live into production.
  • Cross-functional partnership: Partner with data engineering on upstream schema changes, with BI developers on model needs, and with business stakeholders to turn ambiguous asks into concrete, correct data definitions.

WHAT YOU BRING

  • 3+ years working hands-on with SQL Server or Azure SQL in an analytics, data warehousing, or reporting context
  • Expert-level T-SQL: complex joins, window functions, CTEs, and the judgment to know when a query is correct versus merely returning rows
  • Real experience with dimensional modeling and reporting-layer design (star schemas, conformed dimensions, slowly changing logic), and opinions about when to break the rules
  • Working knowledge of the Microsoft BI stack: Analysis Services (tabular), Power BI semantic models, and enough DAX to design models that measure-writers can build on
  • Comfort using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude) to draft, review, and debug complex SQL with the judgment to validate AI-generated logic before it goes into production, rather than accepting output at face value
  • A track record of turning vague business questions into precise data definitions, and of defending data quality when it would be easier to ship the number
  • Strong written communication: your documentation, view comments, and metric definitions will be read by engineers and executives alike

NICE TO HAVE

  • Experience in healthcare, clinical, or other regulated data environments
  • Exposure to version-controlled model development (TMDL, Tabular Editor, Git-based workflows)
  • Power Query / M experience, or experience supporting Excel-based analytical consumers of the warehouse
  • Familiarity with modern analytics engineering tooling and practices (dbt or similar), even if our stack is SQL-native
  • Experience evaluating or adopting AI-assisted BI features (e.g., Power BI Copilot, natural language query tools) in a reporting environment

WHY THIS ROLE

You will not be one of fifty analytics engineers maintaining someone else's decisions. The reporting layer is yours to design, improve, and be known for. Your work will be visible in every board deck, every operational dashboard, and every application screen that shows a number, and the people who depend on it will know exactly who made it trustworthy.

BENEFITS

HVP offers a full benefits package, including various health insurance plan options, vision, dental, and life insurance, long and short term disability, critical illness and accident insurance, and GAP insurance.  We also offer Flexible Spending Accounts as well as Health Savings Accounts.  A generous paid time off policy allows our employees the flexibility they need for work/life balance.  HVP invests in your future by offering a company sponsored 401k plan with employer match, along with access to a financial planner!  

Along with the above, other perks include the option for career advancement, professional development, and continuing education.  This is a primarily in-office position, but with the flexibility for remote work if needed! 

STATEMENT 

All applicants are considered for all positions without regard to race, religion, color, sex, gender, sexual orientation, pregnancy, age, national origin, ancestry, physical/mental disability, medical condition, military/veteran status, genetic information, marital status, ethnicity, citizenship or immigration status, or any other protected classification, in accordance with applicable federal, state, and local laws. By completing this application, you are seeking to join a team of hardworking professionals dedicated to consistently delivering outstanding service to our customers and contributing to the financial success of the organization, its clients, and its employees. Equal access to programs, services, and employment is available to all qualified persons. Those applicants requiring an accommodation to complete the application and/or interview process should contact a management representative.