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Entry Level Data & Analytics Jobs in Wichita, KS

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Entry Level Digital Marketer

Wichita, KS · On-site

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

Three Point Solutions, Inc.

Customer Service Support

Wichita, KS · On-site

$15.25 - $19.50/hr

Strong analytical skills Role Scope * Entry-level customer service and operations support * Handles ... Manages shipment data and documentation Education * High School Diploma or GED required * Associate ...

Three Point Solutions

Customer Service Support

Wichita, KS · On-site

$17 - $19/hr

Strong analytical skills Role Scope * Entry-level customer service and operations support * Handles ... Manages shipment data and documentation Education * High School Diploma or GED required * Associate ...

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All JobsData & Analytics JobsEntry Level Data & Analytics JobsEntry Level Data & Analytics Jobs in Wichita, KS

Entry Level Data Analytics information

See Wichita, KS salary details

$29.5K

$72.9K

$125.2K

How much do entry level data & analytics jobs pay per year?

As of Jul 29, 2026, the average yearly pay for entry level data & analytics in Wichita, KS is $72,927.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,200.00 and $86,300.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of an Entry Level Data & Analytics professional?

As an Entry Level Data & Analytics team member, your daily tasks often involve gathering, cleaning, and preparing datasets, conducting basic analyses, and creating data visualizations to help explain findings. You'll frequently collaborate with senior analysts or managers, supporting ongoing projects by generating reports or troubleshooting data issues. This role also requires you to communicate your insights to both technical and non-technical colleagues, so clear documentation and presentation skills are valuable. Over time, you'll gain exposure to more complex analytical work and opportunities to specialize as you grow in your career.

Will AI replace data analyst?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI can handle repetitive work, human expertise remains essential for interpreting results, understanding context, and communicating findings effectively. Entry level data analysts should develop skills in data visualization, programming, and AI tools to stay relevant in this evolving field.

What are the key skills and qualifications needed to thrive in the Entry Level Data & Analytics position, and why are they important?

To thrive as an Entry Level Data & Analytics professional, you need a basic understanding of statistics, data analysis, and data visualization, typically supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with analytical tools such as Excel, SQL, Python, or Tableau, and any relevant certifications (like Google Data Analytics or Microsoft Excel certification) are often expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you translate data insights into actionable recommendations for stakeholders. These competencies are crucial for ensuring accurate data interpretation and meaningful contributions to business decision-making.

Is 40 too late for data science?

Entry level data and analytics roles are accessible at any age, including at 40, especially with relevant skills like programming, statistics, and tools such as SQL or Python. Many professionals transition into data science later in their careers, and continuous learning or certifications can help improve job prospects regardless of age.

How can I get into data analytics with no experience?

Entry level data and analytics roles often require foundational skills in Excel, SQL, or data visualization tools like Tableau. Gaining relevant knowledge through online courses, certifications, or personal projects can help demonstrate your abilities to employers without prior work experience.

What is an Entry Level Data & Analytics job?

An Entry Level Data & Analytics job involves collecting, processing, and analyzing data to help organizations make informed decisions. Responsibilities may include cleaning datasets, creating reports, and using tools like Excel, SQL, or Python to extract insights. These roles often require strong analytical thinking, attention to detail, and proficiency in data visualization tools. Entry-level employees typically work under the guidance of senior analysts or data scientists to develop skills and gain industry experience.

Do entry-level data analyst jobs exist?

Yes, entry-level data analyst jobs are widely available and typically require basic skills in data analysis tools like Excel, SQL, or Python. These roles often focus on data collection, cleaning, and reporting, making them accessible to recent graduates or those transitioning into data careers.
What are the most commonly searched types of Data & Analytics jobs in Wichita, KS? The most popular types of Data & Analytics jobs in Wichita, KS are:
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Entry Level Data Analytics jobs near you
Infographic showing various Entry Level Data & Analytics job openings in Wichita, KS as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $72,927 per year, or $35.1 per hour.
Accounting and Automation Analyst

Accounting and Automation Analyst

Stand Together

Wichita, KS

$75K - $110K/yr

Full-time

Posted 11 days ago

Job description

Stand Together is a philanthropic community that helps America’s boldest changemakers tackle the root causes of our country’s biggest problems, from education to the economy, broken communities, and toxic division, among dozens of other pressing issues. We provide our partners with access to resources including funding, thought leadership, a network of peers, and a playbook for applying proven principles to transform lives and society. 

The Accounting & Automation Analyst supports core accounting operations while actively using AI tools and automation to amplify the team’s capacity. This role is ideal for a candidate 1–2 years out of college who brings intellectual curiosity to the close process and sees technology as a force multiplier, not a shortcut. The Analyst will build a strong accounting foundation while helping the team work smarter. This role offers hands-on exposure to month-end close, financial reporting, internal controls, and audit preparation — alongside real ownership of automation initiatives from day one.
 
Stand Together is open to applicants located in the Washington DC area as well as Wichita, Kansas, for this position. 
How You Will Contribute

• AI & Automation

◦ Use AI tools (e.g., Claude, Copilot) to draft, review, and streamline accounting tasks such as:

  • Prepare and record journal entries with appropriate support and documentation
  • Perform monthly account reconciliations and investigate variances
  • Assist with month-end and year-end close activities
  •  Maintain accurate general ledger records in accordance with internal controls

◦ Identify repetitive workflows and partner with senior team members to automate them

◦ Document automated processes and maintain clear audit trails

• Reporting & Audit Support

◦ Assist in preparing internal financial reports and schedules

◦ Support audit requests by compiling schedules and documentation

• Continuous Improvement

◦ Identify process gaps and raise improvement ideas to the team

◦ Participate in testing and adopting new tools or system enhancements

What You Will Bring

◦ Genuine interest in AI and automation — you’ve experimented with these tools and see them as force multipliers

◦ Exposure to or interest in automation tools such as Power Automate, Python, or Excel macros

◦ Strong attention to detail and commitment to accuracy

◦ Ability to follow processes, meet deadlines, and document work clearly

Standout Candidates Will Bring
Bachelor’s degree in Accounting or Finance, or equivalent coursework OR Information Systems, Computer Information Systems, Management Information Systems, Data Analytics, or a related technical field

◦ 1–2 years of accounting experience (internships and entry-level roles count)

◦ Foundational understanding of accounting principles and the general ledger

◦ Experience with an ERP system (e.g., Sage Intacct, NetSuite, Oracle)

◦ Experience with Snowflake or other data warehouse/analytics platforms

For this role, the anticipated base salary range is $75,000-$110,000 per year. This role may also be eligible for additional bonus compensation designed to align total compensation with an employee’s overall contribution to the organization.

Our Principles-Based Management™ (PBM) compensation philosophy is grounded in an individualized approach that rewards the long-term value each person creates for the organization. Compensation decisions are informed by a variety of factors, including relevant experience, capabilities, demonstrated skills, role responsibilities, and expected contribution. Consistent with this approach, base salary may vary within or outside of the anticipated range based on these considerations.

Our Values: Working for an organization within the Stand Together philanthropic community is different from many other places. The culture is deeply rooted in Principle Based Management® (PBM®), a framework guided by the principles that drive human progress, such as dignity, openness, and bottom-up empowerment. PBM® empowers employees to be entrepreneurial, to innovate, and to continually drive transformation.   
 
We believe diversity fuels creativity, broadens knowledge, and helps drive success.  That is why we’re proud to be an Equal Opportunity Employer and strive to treat all employees and applicants with honesty, dignity, and respect.

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.