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Data Analyst No Experience Jobs in Kansas (NOW HIRING)

MM (Materials Management) - Procurement, LE (Logistics Execution) • Experience in Master Data ... analytical, problem-solving, and communication skills. • Ability to work independently and in ...

Rates and Data Analyst

Hays, KS · On-site

$60 - $80/hr

Experience directly in data analytics or business intelligence preferred. * Beginning proficiency with Excel, including summary statistics, formulas, lookups, and data transformation, required.

Experience directly in data analytics or business intelligence preferred. * Beginning proficiency with Excel, including summary statistics, formulas, lookups, and data transformation, required.

Experience directly in data analytics or business intelligence preferred. * Beginning proficiency with Excel, including summary statistics, formulas, lookups, and data transformation, required.

Experience directly in data analytics or business intelligence preferred. * Beginning proficiency with Excel, including summary statistics, formulas, lookups, and data transformation, required.

Data Product Analyst

Wichita, KS · On-site

$80 - $100/hr

... no longer meet business needs. Who You Are (Basic Qualifications) * Experience working with data in tools such as Excel or Power BI and foundational SQL skills. * Experience translating technical ...

Whether you're an experienced data analyst, a licensed pilot with a knack for systems, or someone with a strong understanding of airspace and navigation -- this is your opportunity to help shape the ...

... Data Analyst to process and maintain high-quality aeronautical data. The role involves editing ... experience performing a role substantially similar to the essential functions of this that would ...

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Data Analyst No Experience information

What does a data analyst with no experience do?

A data analyst collects, processes, and interprets data to help organizations make informed decisions. While many data analyst positions prefer candidates with experience, it is possible to start a career as a data analyst with no prior experience by learning relevant skills such as Excel, SQL, and data visualization tools, and by building a portfolio of projects. Entry-level roles or internships are great starting points, and many people transition into data analysis from other fields or after completing online courses and certifications.

What are the key skills and qualifications needed to thrive as a data analyst with no experience?

To thrive as a Data Analyst with no experience, you need a solid understanding of statistics, data interpretation, and foundational knowledge of data analysis concepts, often supported by a relevant degree or coursework. Familiarity with tools like Microsoft Excel, SQL, and beginner-friendly data visualization platforms such as Tableau or Power BI is typically expected, and entry-level certifications can be advantageous. Strong analytical thinking, attention to detail, and effective communication skills help you translate data findings into actionable insights. These skills and qualities are crucial for ensuring accurate data analysis, clear reporting, and valuable contributions to data-driven decision-making.

What is the difference between Data Analyst No Experience vs Data Scientist?

AspectData Analyst No ExperienceData Scientist
Required CredentialsOften a bachelor's degree in related field; certifications like Microsoft Excel or SQL are commonTypically a master's degree or higher in data science, statistics, or related fields; advanced certifications
Work EnvironmentEntry-level roles in various industries, focusing on data collection, cleaning, and basic analysisMore advanced roles involving predictive modeling, machine learning, and complex data analysis
Employer & Industry UsageUsed across industries for reporting and basic analysisUsed in tech, finance, and research sectors for developing models and insights

In summary, Data Analyst No Experience roles are entry-level positions focusing on basic data tasks, while Data Scientists require advanced skills and education for complex analysis and modeling.

Can you become a no experience data analyst?

Yes, it is possible to become a no experience data analyst by acquiring relevant skills such as Excel, SQL, and data visualization tools through online courses or certifications. Entry-level positions often focus on foundational knowledge and willingness to learn, making it accessible for beginners without prior work experience.

What are the most commonly searched types of Data Analyst jobs in Kansas?

The most popular types of Data Analyst jobs in Kansas are:

What are popular job titles related to Data Analyst No Experience jobs in Kansas?

For Data Analyst No Experience jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Data Analyst No Experience jobs in Kansas look for?

The top searched job categories for Data Analyst No Experience jobs in Kansas are:

What cities in Kansas are hiring for Data Analyst No Experience jobs?

Cities in Kansas with the most Data Analyst No Experience job openings:

Infographic showing various Data Analyst No Experience job openings in Kansas as of August 2026, with employment types broken down into 45% Full Time, 28% Temporary, and 27% Contract. Highlights an 100% In-person job distribution.

$60 - $80/hr

Other

Retirement

Posted 6 days ago


Job description

Full Time Professional Corporate Office, Overland Park, KS, US

Competitive Compensation & Benefits Package * 401(k) with Profit Sharing * Flexible Time Off * Office Dog!!

ABOUT US

By combining our unparalleled domain expertise with leading-edge technology, Ad Astra is helping higher education in its mission to advance timely student completions. We are building a cloud-based software platform that will provide the foundation for our next generation of industry-leading solutions and analytics. Simply put, we're helping students graduate faster.

OUR CORE VALUES
  • We recognize talent. We recognize and appreciate the unique God-given talents that our people bring to Ad Astra. Aligning these individual gifts with our work sets team members up to succeed.
  • We’re unpretentious. There’s no room for ego. We admit our imperfections and have the humility to know what we don’t know.
  • We’re passionate. We aren’t satisfied with the status quo. We’re on a mission together to protect the value of degree completion and to transform the higher education industry.
  • We’re pioneering. We’re pioneering and aren’t afraid of failing—in fact, we celebrate it. We love it when our people boldly experiment with innovative solutions.
  • We love fun. The health of our relationships is strengthened by working with people who stretch our thinking—and by enjoying the lighter side of life together. We don’t take ourselves too seriously, but we do take fun seriously.
  • We have grit. Beyond talent and intelligence, our people have stick-to-itiveness. We push through challenges to make goals a reality.
POSITION SUMMARY

The Associate Data Analyst supports the Insights function within Ad Astra’s Insights and Advisory Services organization, contributing to the analytical products, data models, and evidence base that support client engagements across the organization’s service lanes. This is an entry-level analytical role focused on analysis and research support, data quality review, and the translation of data into clear, usable insights for campus decision makers.

Reporting to the VP of Value and Insights, the Data Analyst prepares analyses, reviews data for quality and anomalies, and produces reporting and visualizations that help institutions understand their scheduling, enrollment, and student success data. While the Insights function is the primary home of this role, the Data Analyst is expected to provide broad analytical support across Insights and Advisory Services, contributing to consulting engagements, benchmarking cohorts, technical assistance, and strategic advisory work as needs arise. The Data Analyst develops technical and conceptual skills over time under the mentorship of senior team members.

This position supports critical analysis of client data in support of scheduling and planning initiatives. The Data Analyst will become familiar with the types of data stored in student information systems and how Ad Astra consumes and processes that information. The person in this role is curious, detail-oriented, and resourceful in collaborating with colleagues to create reports, analyses, dashboards, and solutions, and applies a developing understanding of the role of analytics in supporting student success and degree velocity. This position will also utilize AI to streamline the assessment, validation, and creation of deliverables where possible. The ability to develop strong working relationships with other Ad Astra team members and a genuine enthusiasm for this work will be key to success in the role.

ESSENTIAL FUNCTIONS/CORE RESPONSIBILITIES
  • Prepare analyses, reports, and data visualizations that support Ad Astra consulting and Insights engagements, working under the direction of the Vice President and senior team members.
  • Review and validate client data for quality, completeness, and anomalies, flagging business process differences or data issues that may require adjustment before analysis proceeds.
  • Translate data into clear, accurate insights and summaries that non-technical audiences can understand and act on.
  • Design and build reporting, dashboards, and solutions that support data-informed decision making, using tools such as Amazon QuickSight, Tableau, or similar platforms.
  • Use SQL to perform data extraction and querying, data manipulation and aggregation, data cleaning and preparation, data structuring, and automation.
  • Conduct pre- and post-analysis validation to help ensure results are accurate, valid, and reliable for client engagements.
  • Provide broad analytical support across Insights and Advisory Services, contributing to consulting engagements, benchmarking cohorts, technical assistance, and advisory work as needs arise.
  • Follow the team’s standards for analytical rigor and reproducibility, including hypothesis and pre-analysis documentation, peer review, version control, and archiving of code and source data.
  • Systematically organize and archive raw data, analyses, and deliverables so that work is documented, reproducible, and transferable.
  • Provide data entry support as needed, especially as it relates to pathways data.
  • Utilize AI, where possible, to streamline and improve data assessment and deliverable completion.
  • Collaborate with colleagues across Value and Insights, Consulting, Development and Product, and other teams to develop new reports and data visualizations.
  • Support the accurate import and interpretation of client data for consulting engagements, coordinating with clients and the Onboarding/Support team as questions arise.
  • Develop working knowledge of student and institution data over time to provide increasingly independent analytical support.
  • Seek guidance and feedback proactively and grow technical and conceptual capability through mentorship and stretch assignments.
  • Perform other duties and special projects as assigned.
POSITION REQUIREMENTS
  • Bachelor’s degree in business, statistics, data analytics, or a related academic field
  • 0–2 years of experience in data analysis or a related field, including relevant internship, academic project, or coursework experience
  • Demonstrated ability to work with data in a structured, accurate, and detail-oriented way
  • Ability to communicate analytical findings clearly, both in writing and verbally
  • Proficiency with Microsoft Office applications, particularly Microsoft Excel (vlookups, pivot tables, if-then statements, etc.)
  • Curiosity, initiative, and a willingness to learn new tools, methods, and domain knowledge
  • Ability to manage time across multiple tasks and follow through on commitments
ESSENTIAL COMPETENCIES
  • Analytical Thinking
  • Problem Solving
  • Attention to Detail
  • Planning and Organization
  • Communication
  • Initiative
  • Time Management
  • Curiosity and Learning Agility
  • Data Quality Judgment
ADDITIONAL PREFERRED QUALIFICATIONS
  • Experience or coursework in the field of Higher Education
  • Previous experience and deep knowledge of SQL and relational databases
  • Experience developing reports and visualizations with tools such as Amazon QuickSight, Tableau, Sisense, or Crystal Reports
  • Exposure to statistical methods or predictive modeling through coursework or applied projects
  • Self-motivated to anticipate clarification needed and seek solutions to problems with appropriate guidance
HOW PERFORMANCE IS MEASURED FOR THIS ROLE
  • Accuracy, completeness, and on-time delivery of assigned analytical work products, with errors and rework tracked and trending down as experience grows.
  • Reliability of data quality review, evidenced by anomalies and issues identified before they reach analysis or clients.
  • Clarity and usability of reports, visualizations, and summaries produced for internal and client audiences.
  • Consistent application of the team’s rigor and documentation standards to assigned work.
  • Demonstrated growth in technical skill, domain knowledge, and independence over time.
  • Responsiveness, collaboration, and contribution of analytical support across service lanes beyond Insights.

This position is in Overland Park, KS in the greater Kansas City metro area. Ad Astra does not cover relocation expenses.

Ad Astra is proud to be an equal opportunity employer. We are committed to fostering an inclusive workplace where all individuals are treated with respect and fairness—regardless of race, color, national origin, sex, gender identity or expression, sexual orientation, religion, age, political affiliation, disability, veteran status, or any other characteristic protected by law.

All applicants must be legally authorized to work in the United States. Ad Astra is unable to provide work visa sponsorship for this position.

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