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Associate Degree In Data Analytics Jobs in Kansas

WellSky

Staff Data Analyst

Overland Park, KS

$2.5K/yr

Mentor other analysts and drive best practices in data storytelling, analysis, and visualization. * Perform other job duties as assigned. Required qualifications * Bachelor's Degree or equivalent ...

Miamioh

Director, Business Intelligence Team

Hoyt, KS · On-site

$155K/yr

AND leading an institution-level major initiative in analytics, data engineering, or business intelligence. Preferred Qualifications: * Master's degree in Data Science, Statistics, Computer Science ...

SolvdUS, Inc

Director of Data Engineering

Lenexa, KS · On-site +1

Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent experience * 8+ ... Python for data processing, automation, or analytics * Familiarity with .NET-based application ...

MHC Kenworth

Data Engineer

Leawood, KS · On-site

$111K - $133K/yr

Bachelor's degree in Data Management, Data Science, BI Analytics, or related * Proven expertise in data modeling and data transformation * Strong knowledge of database structure systems and data ...

Reply

Manager, Data Engineering

Kansas City, KS · On-site

Bachelor's degree in computer science or related field * 12 years of industry experience, with 4 ... Data Analytics, Power BI, Azure SQL, Azure Cosmos DB, and Azure Database for PostgreSQL * Deep ...

Clarivate

Data Security Analyst

Overland Park, KS · On-site

Data Security Analyst We are looking for a Data Security Analyst to join our Information Security ... Bachelor's degree in information technology, Cyber Security, Business, or equivalent, relevant work ...

Murphy-Hoffman Company

Data Engineer

Leawood, KS · On-site

$111K - $133K/yr

Bachelor's degree in Data Management, Data Science, BI Analytics, or related * Proven expertise in data modeling and data transformation * Strong knowledge of database structure systems and data ...

Emprise Bank

Embedded Business Analyst

Wichita, KS · On-site +1

Ability to effectively build and maintain relationships with Emprise associates, external partners ... Bachelor's degree in Business, Finance, Economics, Data Analytics, or related field * 3+ years of ...

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All JobsAssociate Degree In Data Analytics JobsAssociate Degree In Data Analytics Jobs in Kansas

Associate Degree In Data Analytics information

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$2.9K

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How much do associate degree in data analytics jobs pay per month?

As of Jun 26, 2026, the average monthly pay for associate degree in data analytics in Kansas is $5,610.25, according to ZipRecruiter salary data. Most workers in this role earn between $5,091.67 and $5,983.33 per month, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive with an Associate Degree in Data Analytics, and why are they important?

To thrive with an Associate Degree in Data Analytics, you need strong analytical thinking, data interpretation, and foundational statistics knowledge, typically supported by coursework in mathematics and computer science. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is often required. Attention to detail, problem-solving, and clear communication are standout soft skills for conveying insights and collaborating with stakeholders. These skills ensure effective data-driven decision-making and the ability to translate complex data into actionable business solutions.

Is an associate's degree in data analytics worth it?

An associate's degree in data analytics provides foundational skills in data management, statistical analysis, and tools like Excel and SQL, which can help entry-level data analyst roles. It can be a cost-effective way to enter the field, but career advancement may require additional certifications or a bachelor's degree for higher-level positions.

What careers can you get with a data analytics degree?

An associate degree in data analytics can lead to roles such as data analyst, business analyst, or data technician. These positions involve analyzing data sets, creating reports, and supporting decision-making using tools like Excel, SQL, and data visualization software. Entry-level positions often require strong analytical skills and familiarity with data management tools.

What types of entry-level positions can someone with an Associate Degree in Data Analytics typically pursue, and what do those roles involve on a daily basis?

Graduates with an Associate Degree in Data Analytics are often well-suited for roles such as data technician, junior data analyst, or business intelligence assistant. In these positions, daily tasks typically include collecting, cleaning, and organizing data, generating basic reports, and supporting senior analysts with data visualization and simple statistical analyses. Teamwork is common, as you'll often collaborate with IT staff, managers, and other analysts to ensure data integrity and deliver actionable insights to various departments. These roles offer valuable exposure to real-world datasets and analytics tools, laying a strong foundation for career growth or further education.

What is the difference between Associate Degree In Data Analytics vs Data Analyst?

AspectAssociate Degree In Data AnalyticsData Analyst
Required CredentialsAssociate degree, certifications in data toolsBachelor's degree often preferred, certifications beneficial
Work EnvironmentEntry-level, data-focused roles in various industriesOffice settings, tech companies, finance, healthcare
Employer & Industry UsageEmployers seeking foundational data skillsEmployers requiring data interpretation and reporting

The Associate Degree In Data Analytics provides foundational skills suitable for entry-level data roles, while Data Analysts typically have a bachelor's degree and more experience in analyzing and interpreting data. Both roles are common in various industries, but Data Analysts often take on more complex projects and responsibilities.

Is a degree in data analytics worth it?

A degree in data analytics can be valuable for roles like data analyst or data scientist, as it provides foundational knowledge in statistics, programming, and data visualization tools. It can improve job prospects and earning potential, especially when combined with practical experience and certifications in tools like Excel, SQL, or Python.

What can you do with an associate's in data analytics?

An associate's degree in data analytics prepares individuals for roles such as data analyst, data technician, or business intelligence assistant. Graduates can work with tools like Excel, SQL, and data visualization software to interpret data, support decision-making, and improve business processes.

What is an Associate Degree in Data Analytics?

An Associate Degree in Data Analytics is a two-year undergraduate program that provides foundational knowledge and skills in data analysis, statistics, and data management. Students learn how to collect, process, and analyze data to support decision-making in various industries. The curriculum typically includes courses in mathematics, programming, database management, and business analytics. Graduates are prepared for entry-level positions such as data technician, junior data analyst, or may choose to continue their education with a bachelor's degree in a related field.
What are popular job titles related to Associate Degree In Data Analytics jobs in Kansas? For Associate Degree In Data Analytics jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Associate Degree In Data Analytics jobs in Kansas look for? The top searched job categories for Associate Degree In Data Analytics jobs in Kansas are:
What cities in Kansas are hiring for Associate Degree In Data Analytics jobs? Cities in Kansas with the most Associate Degree In Data Analytics job openings:
Associate Degree In Data Analytics jobs near you
Infographic showing various Associate Degree In Data Analytics job openings in Kansas as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $67,323 per year, or $32.4 per hour.
Data Scientist

Data Scientist

MIDWEST TRANSPLANT NETWORK INC

Westwood, KS • On-site

Full-time

Posted 13 days ago

Job description

Responsible for assisting in the development, implementation and maintenance of the MTN programs, applications and databases. Also responsible for statistical analysis of system and research data. Engages internal and external customers to define and develop improvements and solutions through innovative use of databases and predictive modeling technologies.
ESSENTIAL JOB FUNCTIONS
SYSTEM ADMINISTRATOR
  1. Maintains proficiency in database programming and serves as primary support and development for operational resources.
  2. Develops reporting for operational systems and polls/interprets data from the systems as requested by the leadership team.
  3. Designs system output to support internal processes through software development skills.
  4. Proactively seeks out opportunities to maintain and enhance skills as technology and software development tools evolve.
  5. Shows proficiency in Microsoft SQL Server administration, Microsoft Visual Studio, data interchange theory and practice and data security concepts.
  6. Investigates and recommends tools for data manipulation and analysis which support the MTN mission.
  7. Supports internal processes through continuous delivery and improvement of tools designed to enhance efficiency.
  8. Maintains and develops database technologies as necessary to ensure integrity of historical information and updated processes for storing and retrieving data.
  9. Supports update and configuration changes as needed for maintenance, installation and design.

BIOSTATISTICS
  1. Applies statistical techniques including but not limited to probability, regression, and linear algebra to analyze data and draw meaningful insights and conduct hypothesis testing and A/B testing to support decision-making.
  2. Maintains strong working knowledge of SAS and other applicable statistical software packages as required.
  3. Performs statistical analysis of information from MTN databases or as requested for MTN internal process improvements.
  4. Works closely with the leadership team to complete research projects.
  5. Supports data requests which support MTN relationships with external partners.

DATA SCIENCE
  1. Gathers and preprocess large datasets from multiple sources, ensuring data quality, consistency, and applying necessary cleaning and transformations to prepare data for analysis.
  2. Performs exploratory data analysis to understand data patterns and relationships and visualizes data to identify trends and anomalies.
  3. Analyzes large datasets to identify patterns, trends, and insights, applying advanced analytics, supervised / unsupervised learning, neural networks, and frameworks to generate information that informs business strategies.
  4. Develops and implements predictive models using machine learning and AI algorithms and validates and refines models to ensure their accuracy and reliability.
  5. Interprets data findings and translates them into actionable business insights, creating reports and dashboards to effectively communicate results to stakeholders.
  6. Works closely with cross-functional teams and stakeholders to define predictive modeling and AI project goals, establish KPIs, and translates business needs into actionable analytical solutions.
  7. Stays current with advancements in data science, machine learning, and AI, continuously enhancing models and processes using new data and feedback.
  8. Performs regular testing and debugging of modeling systems to resolve model drift and technical issues and identifies opportunities to leverage modeling and AI technology to improve business processes.
  9. Ensures data privacy and security standards are maintained and adheres to ethical guidelines in data handling and analysis.
  10. Maintains proficiency in tools like Python, R, SAS Viya, Apache (Spark, Hadoop, Kafka), Java, Julia, Scala, MATLAB, TensorFlow, Scikit-learn, Keras, Microsoft Azure Machine Learning, Amazon SageMaker, and Alteryx.

QUALIFICATIONS AND PHYSICAL DEMANDS
  1. Bachelor's degree in mathematics or statistics and three or more years of computer science/programming experience required.
  2. Ability to work with mathematical concepts such as probability and statistical inference.
  3. Excellent analytical and organizational skills required.
  4. Possess strong problem-solving skills, with the ability to monitor work for accuracy and thoroughness while demonstrating perseverance, change agility, and a relentless drive to find answers despite setbacks.
  5. Demonstrated commitment to understanding and anticipating client needs by engaging in an iterative discovery process to ensure effective serve delivery.
  6. Demonstrated commitment to continuous learning with a growth mindset.
  7. Excellent interpersonal, verbal and written communication skills and critical thinking skills.
  8. Must maintain a valid driver's license in accordance with MTN motor vehicle policy. Must have reliable transportation to be used with company reimbursement using IRS guidelines. Must be able to travel within the service area by ground or air.
  9. Ability to lift 15 pounds and transfer short distances.
  10. Possess ability to operate telephones, computers and office equipment.
  11. Ability to speak and communicate clearly in order to accurately convey information in person or by phone.
  12. OSHA Category III - No exposure to bloodborne pathogens while performing assigned job duties.
  13. Home internet and wireless phone access is required.

MTN BEHAVIORAL COMPETENCIES
Belonging: Intentionally connects with colleagues by embracing differences and finding commonalities to create a workplace where all employees feel safe and genuine at work. Models the philosophy that lived experiences make individuals unique by respecting and seeking to understand beliefs, values and opinions that are new or different from their own. Represents through actions and influence, the idea that diverse perspectives make MTN stronger as we serve our mission.
Respect: Builds a positive and supportive foundation inviting open, honest, and clear communication. Fosters a sensitive, supportive, and trustworthy environment, which promotes active listening and strengthens rapport throughout all interactions. Cultivates teamwork through acceptance and inclusion by valuing differences and empowering strengths.
Excellence: Demonstrates excellence by going above and beyond, while maintaining compassion and humility in all interactions. Demonstrates a high rate of achievement and success for the organization through proactive objectives centered on the overall mission and vision. Consistently models a positive attitude, a willingness to help others, and a dedication to improvement. Takes full responsibility for their role and challenges themselves to find workable solutions.
Accountability: Demonstrates the highest ethical standards, by honoring commitments to each other and professional partners. Executes all interactions through honesty and transparency. Demonstrates responsibility and integrity through ownership of the mission. Utilizes resources appropriately.
Leadership: Empowers, mentors and encourages all staff, while displaying a high-level of professionalism. Demonstrates ability to cultivate teams and relationships through open lines of communication, honesty and respect. Handles challenges with compassion by developing trust through respectful feedback and support. Acts as a resource by providing the tools, which enable others to reach their highest potential.
It is the policy of Midwest Transplant Network (MTN) to provide equal opportunity in employment to all employees and applicants for employment. No person will be discriminated against in employment because of race, color, religion, sex (including pregnancy), sexual orientation, gender identity, gender expression, ethnic origin, age, genetic information, disability, protected veteran status, arrest record, or any characteristic protected by applicable federal, state or local laws. In addition, the organization complies with applicable state and local laws governing non-discrimination in employment in every location in which the organization has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, training, employee activities and general treatment during employment
MTN is committed to complying with state and federal disability laws and makes reasonable accommodations when requested by a qualified applicant or employee with a disability to enable the applicant or employee to be considered for the position they desire, to perform the essential functions of the position in question, or to enjoy equal benefits and privileges of employment as are enjoyed by other similarly situated employees without disabilities, unless the accommodation would impose an undue hardship on the operation of MTN's mission.

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