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Associate Degree In Data Analytics Jobs in Lawrence, KS

Advantage Tech

Data Architect

Topeka, KS · On-site

$60 - $77.25/hr

Guide engineers and analysts on best practices in Databricks. * Maintain data architecture roadmaps ... Education: - Bachelor's degree in computer science or related technology degree. - Professional ...

asrcfh

Appian Analyst

Leavenworth, KS · Remote

Bachelor's degree in Computer Science, Engineering, Data Science, or 4+ additional years of relevant work experience * 2+ years of professional data analysis experience with Appian * 5+ years of ...

Advantage Tech

Data Architect

Topeka, KS · On-site

$60 - $77.25/hr

Guide engineers and analysts on best practices in Databricks. * Maintain data architecture roadmaps ... Education: - Bachelor's degree in computer science or related technology degree. - Professional ...

Advantage Tech

Data Architect

Topeka, KS · On-site

$60 - $77.25/hr

Guide engineers and analysts on best practices in Databricks. * Maintain data architecture roadmaps ... Education: - Bachelor's degree in computer science or related technology degree. - Professional ...

Associated Wholesale Grocers

Data Engineer

Kansas City, KS · On-site

$107K - $129K/yr

... Associate Analyst level). Basic understanding of data modelling, mapping and data quality/governance practices. * Education: Bachelor's degree in software engineering, computer science, computer ...

Workila

Data Governance SME

Kansas City, KS · On-site

Experience in Data Quality & Data Governance Experience in Big Data Architecture Strong relational database experience Experience with BI Reporting and Analytics Willingness to learn new technologies ...

Associated Wholesale Grocers

Data Architect

Kansas City, KS · Hybrid

$60 - $77.25/hr

Bachelor's degree in software engineering, computer science, computer information systems, or ... Experience gathering and analyzing system requirements. * Proficiency in SQL and experience with ...

Federal Home Loan Bank of Topeka

Data Architect

Topeka, KS · On-site +1

$60 - $77.25/hr

Partner with engineering and analytics teams across modeling, integration, MDM, metadata ... Bachelor's degree in computer science or related technology degree. Professional certificate or a ...

Federal Home Loan Bank of Topeka

Data Architect

Topeka, KS · On-site

$60 - $77.25/hr

Partner with engineering and analytics teams across modeling, integration, MDM, metadata ... Bachelor's degree in computer science or related technology degree. Professional certificate or a ...

hcmportal

Senior Data Governance Analyst

Topeka, KS · On-site +1

Enable trusted use of unstructured data in AI, analytics, and RAG solutions; collaborate with the ... Bachelor's degree in Information Management, Data Science, Library & Information Science, Computer ...

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Showing results 21-40

All JobsAssociate Degree In Data Analytics JobsAssociate Degree In Data Analytics Jobs in Lawrence, KS

Associate Degree In Data Analytics information

See Lawrence, KS salary details

$3.1K

$5.9K

$8.5K

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

As of Aug 9, 2026, the average monthly pay for associate degree in data analytics in Lawrence, KS is $5,932.42, according to ZipRecruiter salary data. Most workers in this role earn between $5,383.33 and $6,325.00 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?

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 can you do with an associate degree in data analytics?

An associate degree in data analytics prepares individuals for roles such as data analyst, data technician, or business intelligence assistant. These positions involve collecting, processing, and analyzing data using tools like Excel, SQL, and visualization software to support decision-making in various industries.

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.

Is an associate degree in data analytics worth it?

An associate degree in data analytics provides foundational skills in data collection, analysis, and visualization, which can qualify individuals for entry-level roles such as data technician or junior analyst. It is a cost-effective way to gain relevant knowledge and may lead to further certifications or education to advance in the 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 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 job categories do people searching Associate Degree In Data Analytics jobs in Lawrence, KS look for? The top searched job categories for Associate Degree In Data Analytics jobs in Lawrence, KS are:
What cities near Lawrence, KS are hiring for Associate Degree In Data Analytics jobs? Cities near Lawrence, KS with the most Associate Degree In Data Analytics job openings:
Associate Degree In Data Analytics jobs near you

Data Architect

Advantage Tech

Topeka, KS • On-site

$60 - $77.25/hr

Full-time

Re-posted 22 hours ago

Job description

Title: Data Architect
Location: 4 days in office in Topeka, 1 day remote
Type: Perm
Role:
The Data Architect is responsible for establishing and evolving the organization's data architecture using Databricks as the core data platform. In an early-stage data environment, this role focuses on creating strong data foundations, enabling analytics and reporting, and guiding teams toward scalable, cost-effective data practices. The Data Architect works closely with business and technical stakeholders to translate priority use cases into practical data solutions while avoiding over-engineering.
Responsibilities:
  • Define, maintain, and evolve the core data architecture, including conceptual, logical, and physical data models, data flows, integration patterns, and platform standards.
  • Design simple, scalable data flows:
  • Source systems ingestion, Databricks, consumption
  • Establish foundational data models (bronze / silver / gold or equivalent)
  • Define standards for data ingestion, transformation, naming conventions, modeling conventions, access and security, and architectural patterns.
  • Translate business and analytics needs into practical data designs and patterns.
  • Work closely with technology teams on data solutions, focusing on data modeling, integration, MDM, metadata, data warehousing, data lakes, BI, and related domains.
  • Support early analytics, BI, and data science use cases.
  • Guide engineers and analysts on best practices in Databricks.
  • Maintain data architecture roadmaps and priorities.
  • Balance short-term delivery with long-term scalability, articulating tradeoffs, costs, and benefits of different options.
  • Identify technical debt early and propose incremental improvements.
  • Act as a hands-on advisor to resolve complex data issues, not just a governance role.
  • Evaluate emerging technologies and industry trends to guide future investments and modernization efforts.

Expectations:
  • Perform responsibilities independently with minimal oversight.
  • Demonstrate clients core competencies that define how we work, collaborate, and lead. These competencies guide day to day behaviors and decision making, ensuring we instill trust, communicate effectively, value differences and deliver strong results.
  • Consistently takes action in alignment with client values.
  • Provides regulatory reporting support, as needed, and partners with other departments to implement effective policies and procedures that support the requirements of applicable statutes and regulation.

Knowledge and Skills:
Experience:
- Minimum of 8-10 years of experience in data architecture including data modeling, data integration, business intelligence (BI), data marts, data lakes and data warehousing, data architecture and data model design.
Education:
- Bachelor's degree in computer science or related technology degree.
- Professional certificate or a graduate degree highly regarded.
Interpersonal Skills:
- Courtesy, tact, and diplomacy are essential elements of the job. Work involves a high degree of personal contact with others inside and/or outside the organization for purposes of exchanging information, building relationships, or soliciting cooperation.
Other Preferred Skills:
  • Experience with Databricks, Azure Data Factory, and Power BI.
  • Strong understanding of modern cloud data architecture, medallion architecture (bronze, silver, gold), and ELT patterns.
  • Must be able to work and travel independently, manage multiple and competing demands.

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