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New Grad Data Analyst Jobs in Kansas (NOW HIRING)

Data Analysts support the development and optimization of strategic initiatives by generating ... Interpret trends and communicate insights from marketplace and operations data to inform new ...

New

... new product development, customer service, and other related departments Provides direct leadership in designing and recommending appropriate analytical approaches and methodology to address key ...

Business Data Analyst II

Wichita, KS · On-site

$55K - $90K/yr

The Business Data Analyst II role has a national salary range of $55,000 - $90,000 ... For roles within California the range is $70,304 - $90,000, Washington is $80,169 - $90,000, New ...

Sr. Data Analyst (Looker)

Lenexa, KS · On-site

$80K - $100K/yr

The Senior Data Analyst serves as a trusted analytics partner to business leaders across the ... Wood Dale, CA Miramar, FL Tampa, FL Tucker, GA Lenexa, KS Marlborough, MA Clifton, NJ Pittsburgh ...

... and new energy. We're one global team - 47,000 strong - driven by a common purpose to deliver a ... AECOM is seeking a creative and highly talented Data Center Project Controls Analyst for immediate ...

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New Grad Data Analyst information

See Kansas salary details

$30.3K

$73.7K

$121.3K

How much do new grad data analyst jobs pay per year?

As of Jun 12, 2026, the average yearly pay for new grad data analyst in Kansas is $73,702.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,700.00 and $86,500.00 per year, depending on experience, location, and employer.

Is 30 too late for data science?

For a New Grad Data Analyst, starting a career in data science at age 30 is not too late. Many professionals transition into data science later in life, and acquiring skills in programming, statistics, and tools like Python or R can facilitate entry regardless of age.

What is a New Grad Data Analyst job?

A New Grad Data Analyst is an entry-level role for recent graduates who analyze data to help organizations make informed decisions. They work with datasets, clean and visualize data, and generate insights using tools like SQL, Python, Excel, and Tableau. These analysts collaborate with teams to solve business problems and improve processes. The role provides opportunities to develop technical skills and gain experience in data-driven decision-making.

What are the key skills and qualifications needed to thrive in the New Grad Data Analyst position, and why are they important?

To thrive as a New Grad Data Analyst, you need a solid understanding of statistics, data visualization, and analytical thinking, usually supported by a degree in a quantitative field. Familiarity with technical tools like SQL, Excel, Python or R, and data visualization software such as Tableau or Power BI is highly valued. Strong communication skills, attention to detail, and a proactive willingness to learn help new grads excel in collaborative, data-driven environments. These skills are crucial because they enable you to effectively turn data into actionable insights and contribute to informed business decisions.

How do you become a data analyst with no experience?

To become a new grad data analyst with no experience, focus on developing skills in data analysis tools like Excel, SQL, and Python, and build a portfolio of projects to demonstrate your abilities. Completing relevant coursework, certifications, or internships can also help establish your qualifications for entry-level roles.

Is AI replacing data analysts?

AI is automating certain tasks within data analysis, such as data cleaning and basic reporting, but it does not replace the need for data analysts. Data analysts are essential for interpreting complex data, making strategic decisions, and applying domain knowledge, which currently require human judgment and expertise. Skills in tools like SQL, Excel, and data visualization remain important for the role.

What are the typical daily responsibilities for a New Grad Data Analyst?

As a New Grad Data Analyst, your daily responsibilities may include gathering and cleaning raw data, running analyses to identify trends or patterns, and generating reports or dashboards to share your findings. You’ll often work closely with other analysts, team leads, or business stakeholders to understand their data needs and help translate business questions into analytical solutions. Expect regular collaboration in meetings, presentations of your insights, and the opportunity to get hands-on practice with various data tools. Over time, you may also participate in larger projects or support process improvements based on your analyses.

What jobs pay 200,000 a year in the USA?

For a New Grad Data Analyst, reaching a $200,000 annual salary typically requires several years of experience, advanced skills in data modeling, machine learning, or analytics tools, and often a role in high-paying industries like finance, technology, or consulting. Entry-level positions usually start lower, but with career progression, specialization, and sometimes additional certifications, higher salaries become attainable.
What are popular job titles related to New Grad Data Analyst jobs in Kansas? For New Grad Data Analyst jobs in Kansas, the most frequently searched job titles are:
What cities in Kansas are hiring for New Grad Data Analyst jobs? Cities in Kansas with the most New Grad Data Analyst job openings:
Infographic showing various New Grad Data Analyst job openings in Kansas as of June 2026, with employment types broken down into 67% Full Time, and 33% Temporary. Highlights an 100% In-person job distribution, with an average salary of $73,702 per year, or $35.4 per hour.

Full-time

Posted 16 hours ago


Job description

JOB SUMMARY: 

Data Analysts support the development and optimization of strategic initiatives by generating actionable insights and recommendations from internal and external data. Data Analysts support business growth by using business intelligence tools to mine complex data, identify historic trends, and visualize large datasets. Data Analysts play a critical role in data governance, helping to create and maintain data standards and quality. 

The Data Analyst will work as part of the skilled and passionate Textron Aviation Parts and Distribution Data & Analytics team providing support and guidance to operations professionals in the aftermarket parts and distribution department. This position primarily focuses on creating tools and reports in support of operational business processes to keep our customers flying. Additionally, this position will leverage data analytics tools and techniques to create metrics and generate strategic recommendations to the various functional leaders within the department. 

At Textron Aviation, we are building a community of Data & Analytics professionals with an emphasis on collaboration and cross functional support. You will have the opportunity to work closely with your peers throughout the organization toward a vision of data driven strategy 

JOB RESPONSIBILITIES: 

  • Relevant experience focused on data collection, utilization, and analysis. Aviation experience preferred. 

  • Optimize data reports measuring daily business activities in Power BI, Alteryx, or similar tools using query languages and formula libraries such as SQL and DAX 

  • Serves as an internal consultant to business leaders by conducting regular and ad-hoc analyses to convert data into strategic assets. 

  • Develop statistical and machine learning models to answer business questions and make predictions using R, Python, and other programming languages 

  • Develop technical as well as process-based solutions addressing business needs 

  • Work to improve data quality by assisting data governance efforts in creating and maintaining data quality standards 

  • Develop best practices and document proven solutions 

  • Interface with other data professionals throughout the organization to embrace cross functional growth in analytics capabilities 

  • Gather and document analytics project requirements from business stakeholders 

  • Explore and understand the inner workings and market context of an aircraft OEM 

  • Coordinate data management and resource requirements with data engineers 

  • Develop and conduct training to business analysts and internal customers on data and resources available through the analytics system 

  • Interpret trends and communicate insights from marketplace and operations data to inform new product development, customer service, and other related departments 

  • Provides direct leadership in designing and recommending appropriate analytical approaches and methodology to address key issues within the business 

  • Work with leadership teams to ensure projects are accurately prioritized and implemented 

  • Propose and develop strategy for advanced analytics roadmaps 

  • Ensures that team efforts support the overall strategic vision and goals of the organization and links with other similar teams in other parts of the business

EDUCATION/ EXPERIENCE:  

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

  • Master's degree preferred in: MIS, CS, Finance, Business Administration, or related field 

  • Minimum 5 years relevant technical experience required, focused on data collection, utilization, and analysis. 

  • Aviation experience preferred  

QUALIFICATIONS:  

  • Excellent written and verbal communication skills 

  • Comfort presenting technical information to upper management 

  • Experience with Microsoft Office including Excel and PowerPoint 

  • Practical application experience with one or more analytics packages such as SAS, R, SQL, Python (& associated libraries), or similar 

  • Experience with data visualization tools such as Power BI, Tableau, or similar tools 

  • Project management experience preferred 

  • Experience working with relational databases and developing complex data sets 

  • Ability to identify relevant metrics and explain technical information to a broad audience 

  • Desire and ability to learn and leverage new software, tools, and processes in a self-learning environment 

  • Strong analytical skills, research capabilities, and careful attention to detail 

  • Understanding of current analytics and data modeling methods 

The above statements are intended to describe the general nature and level of work being performed by employees assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. Â