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Associate Degree In Data Analytics Jobs in Kansas

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

Development of data analytics tools, interfaces, and reports that are user-friendly, efficient in development, and documented for future users and analysts * Utilize Python or other approved ...

Bachelor's degree in data Analytics, Workforce Management, Business Administration, or a related ... This applies to all applicants and associates. GEICO also provides a work environment in which each ...

The Research Data Scientist is responsible for organizing the systems for collection, handling ... Bachelor's degree in an analytical or life science-related field with 4+ years of related work ...

Bachelor's degree in Information Systems, Statistics, Data Science, or related fields * Minimum of 3 years' experience in business or data analysis roles; experience in product management or business ...

... Data Analytics team, you'll be immersed in a collaborative, fast-paced, and dynamic environment ... Bachelor's degree in Information Systems, Statistics, Data Science, or related fields * Minimum of ...

Master's degree preferred. 2-4 years of experience in operational analytics data analysis or a related role. 2-4 years of experience using Microsoft Excel and Google Workspace. Strong proficiency in ...

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Associate Degree In Data Analytics information

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$2.9K

$5.6K

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

As of May 30, 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.

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 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 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.

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:

Data Analytics Project Manager(Medicaid Exp must)

CLOUDSCOUTS SOFTWARE SOLUTIONS LLC

Topeka, KS • Remote

$49 - $66.25/hr

Full-time

Posted 22 days ago


Job description

Medicaid Exp must- please dont submit if you dont have Medicaid exp---Medicaid exp is must
Job Title: Data Analytics Project Manager
Location: U.S. (with travel to Springfield, IL 1 2 times per
year)
As a Project Manager in Data Analytics, youll lead strategic initiatives including implementation and operations that make healthcare data accessible, secure, and actionable. Youll work in a high-performance culture that values innovation, collaboration, and continuous improvement, an ideal environment to do your lifes best work.
Key Responsibilities:

Lead Data-Driven Projects: Based on the Project Management Institute (PMI), Project Management Body of Knowledge (PMBOK), manage the full lifecycle of data warehouse and analytics initiatives, ensuring alignment with client goals and business outcomes.
Drive Strategic Execution: Oversee project planning, resource forecasting, risk mitigation, and delivery using PMI PMBOK and Agile methodologies.
Foster Stakeholder Engagement: Build strong relationships with clients, end users, and cross-functional teams to gather requirements, resolve issues, and ensure satisfaction.
Ensure Quality and Compliance: Review deliverables, enforce standards, and manage change control and contract compliance.
Communicate and Collaborate: Facilitate meetings, status reporting, and executive updates while promoting a culture of transparency and accountability.
Mentor and Inspire Teams: Lead and motivate direct and matrixed resources, promoting knowledge sharing and continuous improvement.
Required Qualifications:

Bachelors degree in computer science, Data Analytics, or related field (or equivalent experience)
5+ years of experience managing complex data analytics or BI projects, preferably in healthcare
Proven experience with data warehousing, reporting tools (e.g., Tableau, Power BI), and stakeholder management
Strong communication, leadership, and problem-solving skills
Commitment to continuous learning and process improvement
Preferred Qualifications:

Masters degree in public health, Administration, or Data Analytics
PMP or CBIP certification; Agile/Scrum experience
Experience with Medicaid programs, MMIS, and federal reporting (e.g., CMS 64, T-MSIS)
Familiarity with tools such as Teradata, Informatica, SAS, Business Objects, and Microsoft Project
Experience managing contracts over $5M and leading change/risk management efforts

This is a remote position.