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Associate Degree In Data Analytics Jobs in Lawrence, KS

Data Engineer

Kansas City, KS · On-site

$110K - $132K/yr

... Bachelor's degree in computer science or related field • 6+ years of experience in data ... Data Analytics, Power BI, Azure SQL, Azure Cosmos DB, and Azure Database for PostgreSQL • ...

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 ...

In this role, you will be responsible for analyzing complex data sets, developing machine learning ... Bachelor's Degree in Computer Science, Electrical Engineering, Computer Engineering, Software ...

Data Scientist 2

Olathe, KS · On-site

$110 - $160/hr

In this role, you will be responsible for analyzing complex data sets, developing machine learning ... Bachelor's Degree in Computer Science, Electrical Engineering, Computer Engineering, Software ...

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

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

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 ...

Data Architect

Topeka, KS · Hybrid

$131K - $177K/yr

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 ...

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 ...

Bachelor's Degree in aviation OR private pilot rating OR minimum of 1 year experience performing a ... associate to complete the essential functions of the Aeronautical Analyst position * Excellent ...

Data Engineer

Kansas City, KS · On-site

$110K - $132K/yr

All associates are expected to positively collaborate with individuals of diverse backgrounds. We ... Develop strong relationships with the wider Data and Analytics team, promoting best practices in ...

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 ...

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 ...

Showing results 21-40

Associate Degree In Data Analytics information

See Lawrence, KS salary details

$3K

$5.7K

$8.2K

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

As of Sep 5, 2026, the average monthly pay for associate degree in data analytics in Lawrence, KS is $5,742.83, according to ZipRecruiter salary data. Most workers in this role earn between $5,208.33 and $6,125.00 per month, depending on experience, location, and employer.

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 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 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 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 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 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:

Data Engineer

Reply

Kansas City, KS • On-site

$110K - $132K/yr

Full-time

Posted 15 days ago


Job description

Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies. We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business.
We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role is ideal for someone who combines deep technical expertise with strong consulting skills - someone who can engage directly with clients, understand business needs, translate requirements into scalable technical solutions, and communicate clearly with both technical and non-technical stakeholders.
As a member of the team, you will contribute to solution architecture and help deliver high-quality modern data solutions that drive measurable business value. The ideal candidate is equally comfortable discussing lakehouse architecture with engineers, facilitating design sessions with client stakeholders, and presenting recommendations to leadership teams.
Responsibilities
• Work directly with clients to understand business goals, data challenges, and technical requirements
• Lead or support discovery sessions, requirements workshops, architecture discussions, and solution reviews
• Develop and optimize batch and streaming data ingestion pipelines from enterprise applications, databases, APIs, and file-based sources.
• Implement medallion/lakehouse architectures, dimensional models, and data transformation workflows to support analytics and reporting use cases
• Engineer solutions using technologies such as PySpark, Spark SQL, SQL, Python, Delta Lake, and orchestration tools within Azure and Databricks
• Recommend best practices for data modeling, governance, lineage, monitoring, DevOps, and security
Minimum Requirements
• Bachelor's degree in computer science or related field
• 6+ years of experience in data engineering, data platform development, or cloud data solutions
• 3+ years of hands-on experience with Azure Databricks, Apache Spark, or similar distributed data processing technologies
• Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB, and Azure Database for PostgreSQL
• Expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI
• DevOps for data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.)
• Excellent communication skills, ability to clearly explain concepts to teammates and customers, and quickly learn new concepts and technologies
Preferred Qualifications
• Experience working directly with clients, business stakeholders, or cross-functional teams in a consulting or professional services environment.
• Experience building data agents, including NLQ, Databricks Genie, and Fabric Data Agents
• Experience with data management, including data governance, data security, master data management, and familiarity with different industry security requirements
• Broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts other than Microsoft
About Reply
Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services.
Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at [email protected]. Visit our website at www.reply.com to learn more about our open roles.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.