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Entry Level Data Analyst Jobs in Madison, WI (NOW HIRING)

Acadia Healthcare

Staff Accountant

Madison, WI

$54K - $72K/yr

Entry Level Staff Account Why Join • Competitive compensation with industry leading annual ... Analyze financial data in order to prepare financial reports. * Prepare and examine financial ...

New

Shorewood Behavioral Health

Staff Accountant

Madison, WI

$54K - $72K/yr

Overview Entry Level Staff Account Why Join Competitive compensation with industry leading annual ... Analyze financial data in order to prepare financial reports. * Prepare and examine financial ...

New

Ball

Operational Excellence Specialist

Fort Atkinson, WI · On-site

$66K - $93K/yr

The Operational Excellence Specialist is an entry level position. It is both, a facilitative leader ... Collaborates with plant team to conduct process analysis and performance reporting in support of ...

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Entry Level Data Analyst information

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$13

$33

$62

How much do entry level data analyst jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for entry level data analyst in Madison, WI is $33.18, according to ZipRecruiter salary data. Most workers in this role earn between $21.30 and $37.07 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data analysts and data scientists can start at any age, including 40, as long as they develop relevant skills such as programming, statistics, and data visualization. Many professionals successfully transition into data roles later in their careers by gaining certifications and practical experience.

Can you work as a data analyst without experience?

Entry level data analyst positions often do not require prior professional experience, but having skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

What does an Entry Level Data Analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

What is the difference between Entry Level Data Analyst vs Data Scientist?

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

Can I be a data analyst with no experience?

Entry level data analyst positions often do not require prior professional experience, but having foundational skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, communication, and domain knowledge that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace entry-level data analysts.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types: business analysts, who focus on understanding business needs; data scientists, who develop advanced models and algorithms; data engineers, who build and maintain data pipelines; and operations analysts, who optimize processes using data insights. Entry-level data analysts often start with business or operations analysis, developing skills in tools like Excel, SQL, and visualization software.

What Does an Entry-Level Data Analyst Do?

The job duties of an entry-level data analyst include working to collect, manage, and analyze data. In this career, your responsibilities often revolve around performing research on business or industry data to define trends or assess performance in a particular sector. As an entry-level data analyst, you usually work as part of a team of analysts and statisticians who analyze data and then create reports to show their findings to relevant executives, stakeholders, and managers. In some situations, this analysis team may recommend actions based on research results.

Can a data analyst be entry-level?

Yes, entry-level data analyst positions are common and typically require basic skills in data analysis tools like Excel, SQL, or Python, along with a relevant degree such as in statistics, mathematics, or computer science. These roles often focus on learning and developing analytical skills under supervision and may require little to no prior professional experience.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst, and why are they important?

To thrive as an Entry Level Data Analyst, you need strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.
More about Entry Level Data Analyst jobs
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Entry Level Data Analyst jobs near you
Infographic showing various Entry Level Data Analyst job openings in Madison, WI as of July 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 94% In-person, and 6% Hybrid job distribution, with an average salary of $69,020 per year, or $33.2 per hour.

Associate Technical Consultant - Entry-Level Consulting (Life Sciences) - October 2026 Start Date

Veeva

Mcfarland, WI • On-site

$80K/yr

Full-time

Posted 26 days ago

Job description

Now hiring for our October 2026 start date

Start your career as an Associate Technical Consultant in a development program designed to accelerate your career. This is not your traditional technical analyst role. If you have coding skills and want to be customer-facing, this role is for you! At Veeva, you’ll work directly with pharmaceutical and biotech companies to solve complex business challenges using cutting-edge technology. Learn fast, take on real responsibility, and make a tangible impact from day one. Candidates should only apply to one Generation Veeva Program.

The Technical Services Role

We are hiring recent graduates to grow the next generation of technical consultants through our Consultant Development Program (CDP) – an entry-level role designed to accelerate your career. In this high-impact, customer-facing position, you’ll specialise in integration, custom development, data migration, DevOps, and Veeva AI. Unlike traditional entry-level technical roles that focus heavily on testing and debugging, you will be hands-on with code and delivering tangible technical solutions that customers use every day. We believe in empowering high potential people to achieve excellence. You’ll be hands-on from day one – learning fast, contributing early, and taking on meaningful responsibility. This program will build the core consulting and technical expertise you need for long-term career success.

Now hiring for our July and October 2026 start dates.

What You'll Do

  • Work directly with customers and project teams, providing technical expertise on Veeva’s applications, Vault Platform, APIs, and Java SDK.
  • Develop custom code, configure Veeva software and contribute to solution design under the guidance of experienced technical and migration architects; support content and data migration.
  • Build cutting edge tools used by the Veeva Services team globally.

REQUIREMENTS | We are looking for graduates who have:

  • Education: Bachelor's degree in computer science or related field with strong academic performance
  • Technical Foundation: Demonstrated experience in Object-Oriented Programming.
  • Communication: Excellent technical storytelling skills; you enjoy explaining why a specific technical architecture or decision is right for a customer
  • Drive: Thrive in a challenging, intense environment that rewards initiative and rapid learning.
  • Analytical Mindset: Strong critical thinking skills and proven track record of academic performance.
  • Integrity: Veeva is a Public Benefit Corporation (PBC) and a “do the right thing” company; we expect that from all employees.
  • Work Ethic: A commitment to excellence and passion for working hard to achieve results.
  • Travel: Willingness to travel as needed (up to 20-30% of the time).

NICE TO HAVE | Ideal candidates have:

  • Languages: Experience with Python, Java, JavaScript, or SQL.
  • Cloud: Familiarity with cloud platforms (AWS/Azure).
  • AI Tools: Experience using AI-powered development tools or CLI assistants (e.g., Claude Code, Gemini CLI, or similar).

THE PROCESS | Our process is different from most. It is designed to be fast, efficient and respectful. Here are the steps:

  1. Application: Submit your resume, short cover letter, and take a personality test.
  2. Initial Response: Within one week, we will notify you of your next step via email.
  3. Interview & Technical Challenge: The next step is a 60-minute interview with a Veeva leader, followed by a 30-minute technical challenge delivered via Coderpad.
  4. Case: After the coding challenge, there is a case exercise with a member of our services team. You will have three days to prepare for the case exercise.
  5. Decision: Within one week, we will extend an offer or let you know that we are not moving forward.
  6. Commitment: You will have two weeks to accept your offer. We value commitment; once you accept, we will hold a spot for you and expect you to join us on your start date. Accepting an offer and continuing to interview would be an ethical violation in our view.

Compensation

  • Starting Salary: $80,000 USD
  • After one year, if you perform well, you will receive a compensation increase and participate in our bonus program

Work Authorization:

Qualified candidates must be legally authorized to be employed in the United States. Veeva does not provide sponsorship for employment visa status (e.g., H-1B, OPT, or TN status) for this employment position.

Work Environment:

Veeva is a Work Anywhere company. You can choose to work in an office or remotely from home on any given day of the week. Associate Technical Consultants must live within a maximum commuting distance of 45 minutes to 1 hour from Veeva’s Boston, New York City or Madison office and typically go to the office two to three days per week. After promotion, you will have flexibility to Work Anywhere outside of those hubs.

#LI-Hybrid #LI-Entry #WU

Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at talent_accommodations@veeva.com.

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