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Data Analytics Jobs in Kansas (NOW HIRING)

Collaborate with Enterprise Data, Analytics, Integrations, and Platform teams to enable trusted reporting and analytics. * Advocate for data improvements that increase automation, scalability, and ...

We are seeking a Product Analytics Lead to own analytics and insights for all tests and ... Translate complex behavioral and business data into clear strategic recommendations that influence ...

New

Data Engineer

Wichita, KS ยท On-site

$102K - $123K/yr

Collaborate with data analysts, data analytics engineers, and data scientists to understand their data needs and provide technical assistance * Stay up to date with emerging technologies and best ...

Student Employee - Data Analyst The Student Data Analyst (SDA) will be responsible for providing support to the Manager of Data & Analysis Services. The SDA will perform duties that require them to ...

The AVP - Cyber Analytics will lead Lockton's cyber analytics strategy, delivering advanced ... This role combines deep cyber expertise, data-driven decision-making, and AI-first mindset, and ...

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Data Analytics information

See Kansas salary details

$21

$48

$84

How much do data analytics jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for 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.

How does a Data Analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What are the most commonly searched types of Data Analytics jobs in Kansas? The most popular types of Data Analytics jobs in Kansas are:
What are popular job titles related to Data Analytics jobs in Kansas? For Data Analytics jobs in Kansas, the most frequently searched job titles are:
What cities in Kansas are hiring for Data Analytics jobs? Cities in Kansas with the most Data Analytics job openings:
Infographic showing various Data Analytics job openings in Kansas as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $101,558 per year, or $48.8 per hour.
Mental Health Data Analyst (Data Analyst II)

Mental Health Data Analyst (Data Analyst II)

Johnson County Kansas

Mission, KS โ€ข On-site

Full-time

Retirement

Posted 3 days ago

New


Job description

A career with Johnson County Government is more than just a job, it is an opportunity to serve a diverse and expanding community in meaningful ways. We challenge ourselves to be a different kind of government because we care deeply about our community and each other. Committed to our shared values, we provide excellent public service, seeking always to improve ourselves and our organization. We offer wonderful benefits, retirement plans, wellness incentives, a great organizational culture, and much more! If youโ€™re searching for something more than just a job, something akin to a calling, then consider the challenge and opportunity of being a member of Johnson County Government!
Johnson County Mental Health Center Administration is looking to fill the position of Behavioral Health Data Analyst. Under limited supervision, this position performs the full range of professional data management and data analysis duties required to support business units within the Mental Health Department. This position will interpret customer needs and requirements by leading cross-functional teams then quantifies results and trends, and translates concepts into practice; as well as data into meaningful information. This position is also responsible for the successful activities of major significance by assisting in establishing and administering centralized projects that touch multiple divisions within Mental Health; completed work is reviewed from a relatively long-term perspective for desired results.

  This position will remain open until filled. 


  • Meets with technical and non-technical staff to discuss technical specifications and operational problems; identifies problems and reviews related information to develop and evaluate options and implement solutions; explains what information means and how it can be used; assists with staff needs assessment, including evaluation of meeting quality standards for services and customer satisfaction; assists with gathering and documenting business data and information requirements; assists with analyzing business forms, reports, processes, practices, and procedures; assists with the development of structured diagrams, including data flow, entity life cycle, hierarchy, entity/relationships, conceptual schemas, and association matrix diagrams; and assists with the implementation and training of data administration practices and data access tools.
  • Assists with the development of data sets and extracts, data standards, and data models to ensure complete, correct, accessible and shareable data for information technology development projects; assists with the development of logical data models, including the identification of data subject areas, data entities, attributes, relationships, information types, domains, and constraints; assists with identifying physical implementation requirements such as denormalization, data types, defaults, keys, referential integrity, and screen/script mapping; assists with the development of logical data standards, definition standards, domain, and type standards; assists with preparing physical database design; conducts analytical research and collects data; identifies information by categorizing, estimating, recognizing differences or similarities, and detecting changes in circumstances or events; identifies or detects a known pattern that is obscured within other distracting material; and selects the best methods or formulas (mathematical, statistical, logical, geospatial, etc) to solve a problem.
  • Prepares for physical database design and consolidation, standardization, cleansing, migration, or upload of data; designs and runs basic database queries to assess or validate data; and supports data testing and analysis for initiatives of higher complexity.
  • Assists with creating and maintaining metadata, reporting objects, data repositories, and data dictionaries; performs basic data cleansing and transformations to assess data quality; and maintains data repositories and facilitates data access for users.
  • Performs routine tasks associated with projects, studies, and initiatives; tracks progress of assigned projects; schedules events and activities; develops specific goals and plans to prioritize, organize, and accomplish work; advises supervisors and staff on operational, organizational, and resource problems; assists with the development of technical priorities, schedules, and budgets.
  • Encourages and builds mutual trust, respect, and cooperation among team members and external partners.

Minimum Job Requirements:

Bachelorโ€™s degree in the following field(s) of study: computer science, geography, science, technology, engineering, mathematics, or relevant field of study.

Three (3) years of experience in the following areas at an analyst level: using GIS or other data analysis software; applying principles and methods to define features, physical characteristics, locations, interrelationships, and distribution of data; functional testing; reporting; and spatial, performance and/or statistical analysis in an academic, data administration, or business data analytics environment that involves using data modeling, database consolidation, ad hoc query, or business intelligence tools, relational databases, metadata, XML schema design, and/or taxonomy.

Experience may be substituted for educational requirements. 

Preferred Requirements:

The successful candidate should have strong technical skills and be proficient with the following tools:


SQL (Structured Query Language)
โ€ข Essential for querying, joining, and manipulating data in relational databases.
โ€ข Should include experience with writing complex queries, CTEs, window functions, etc.

Crystal Reports
โ€ข Used in our environment for a variety of published end user reports and routine data extracts

Data Transformation/ETL Tools
โ€ข Experience with DT/ETL tool such as SSIS, Qlik, Tableau Prep, FME

Data Visualization & Dashboards
โ€ข Tools:  Tableau.
โ€ข Skills: Creating interactive dashboards, visual storytelling, and KPI tracking.

Excel (Advanced)
โ€ข Pivot tables, VLOOKUP/XLOOKUP, Power Query, and data modeling.

Python or R for Data Analysis
โ€ข Libraries like pandas, numpy, matplotlib, seaborn, plotly, or ggplot2.

Johnson County Government requires reference/background screening for all positions.  Specified criteria may vary by Department/Agency.

Physical, Environmental, and Special Working Conditions:

All County employees may be called upon to assist other departments in a declared emergency situation.