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Data Analytics Professional Jobs in Kansas (NOW HIRING)

At Textron Aviation, we are building a community of Data & Analytics professionals with an emphasis on collaboration and cross functional support. You will have the opportunity to work closely with ...

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Data Analytics Professional information

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$48

$84

How much do data analytics professional jobs pay per hour?

As of May 29, 2026, the average hourly pay for data analytics professional 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 the difference between Data Analytics Professional vs Data Analyst?

AspectData Analytics ProfessionalData Analyst
CredentialsOften requires a degree in data science, statistics, or related fields; certifications like CAP, Google Data AnalyticsTypically holds a degree in similar fields; certifications are common but not mandatory
Work EnvironmentWorks across various industries, often in teams, handling complex data projectsFocuses on data collection, cleaning, and basic analysis, often in business settings
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firmsCommon in retail, marketing, finance, and healthcare sectors

While both roles involve analyzing data, Data Analytics Professionals often handle more complex projects and require broader skill sets, including advanced analytics and data modeling. Data Analysts typically focus on data preparation and basic analysis to support decision-making. Both roles are essential in data-driven organizations, but the scope and complexity of tasks differ.

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 cities in Kansas are hiring for Data Analytics Professional jobs? Cities in Kansas with the most Data Analytics Professional job openings:

Full-time

Posted 6 days ago


Job description

JOB SUMMARY:

Data Analysts support the development and optimization of strategic initiatives by generating actionable insights and recommendations from internal and external data. Data Analysts support business growth by using business intelligence tools to mine complex data, identify historic trends, and visualize large datasets. Data Analysts play a critical role in data governance, helping to create and maintain data standards and quality.

The Data Analyst will work as part of the skilled and passionate Textron Aviation Parts and Distribution Data & Analytics team providing support and guidance to operations professionals in the aftermarket parts and distribution department. This position primarily focuses on creating tools and reports in support of operational business processes to keep our customers flying. Additionally, this position will leverage data analytics tools and techniques to create metrics and generate strategic recommendations to the various functional leaders within the department.

At Textron Aviation, we are building a community of Data & Analytics professionals with an emphasis on collaboration and cross functional support. You will have the opportunity to work closely with your peers throughout the organization toward a vision of data driven strategy

Relevant experience focused on data collection, utilization, and analysis. Aviation experience preferred.

Optimize data reports measuring daily business activities in Power BI, Alteryx, or similar tools using query languages and formula libraries such as SQL and DAX

Serves as an internal consultant to business leaders by conducting regular and ad-hoc analyses to convert data into strategic assets.

Develop statistical and machine learning models to answer business questions and make predictions using R, Python, and other programming languages

Develop technical as well as process-based solutions addressing business needs

Work to improve data quality by assisting data governance efforts in creating and maintaining data quality standards

Develop best practices and document proven solutions

Interface with other data professionals throughout the organization to embrace cross functional growth in analytics capabilities

Gather and document analytics project requirements from business stakeholders

Explore and understand the inner workings and market context of an aircraft OEM

Coordinate data management and resource requirements with data engineers

Develop and conduct training to business analysts and internal customers on data and resources available through the analytics system

Interpret trends and communicate insights from marketplace and operations data to inform new product development, customer service, and other related departments

Provides direct leadership in designing and recommending appropriate analytical approaches and methodology to address key issues within the business

Work with leadership teams to ensure projects are accurately prioritized and implemented

Propose and develop strategy for advanced analytics roadmaps

Ensures that team efforts support the overall strategic vision and goals of the organization and links with other similar teams in other parts of the business

EDUCATION/ EXPERIENCE:

Bachelor's degree required in MIS, Computer Science, Data Analytics, Business Administration, Engineering, Mathematics, Economics, Statistics, or related technical field/coursework

Master's degree preferred in: MIS, CS, Finance, Business Administration, or related field

Minimum 5 years relevant technical experience required, focused on data collection, utilization, and analysis.

Aviation experience preferred

QUALIFICATIONS:

Excellent written and verbal communication skills

Comfort presenting technical information to upper management

Experience with Microsoft Office including Excel and PowerPoint

Practical application experience with one or more analytics packages such as SAS, R, SQL, Python (& associated libraries), or similar

Experience with data visualization tools such as Power BI, Tableau, or similar tools

Project management experience preferred

Experience working with relational databases and developing complex data sets

Ability to identify relevant metrics and explain technical information to a broad audience

Desire and ability to learn and leverage new software, tools, and processes in a self-learning environment

Strong analytical skills, research capabilities, and careful attention to detail

Understanding of current analytics and data modeling methods

The above statements are intended to describe the general nature and level of work being performed by employees assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of personnel so classified.