Recent Grad Data Analyst information
See Milwaukee, WI salary details
$33.5K - $42.6K
4% of jobs
$42.6K - $51.8K
7% of jobs
$51.8K - $60.9K
13% of jobs
$61.4K is the 25th percentile. Wages below this are outliers.
$60.9K - $70K
18% of jobs
The median wage is $74.3K / yr.
$70K - $79.2K
16% of jobs
$79.2K - $88.3K
13% of jobs
$91.7K is the 75th percentile. Wages above this are outliers.
$88.3K - $97.4K
9% of jobs
$97.4K - $106.6K
5% of jobs
$106.6K - $115.7K
9% of jobs
$115.7K - $124.9K
3% of jobs
$124.9K - $134K
2% of jobs
How much do recent grad data analyst jobs pay per year?
As of Aug 18, 2026, the average yearly pay for recent grad data analyst in Milwaukee, WI is $81,421.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,600.00 and $95,600.00 per year, depending on experience, location, and employer.
A Recent Grad Data Analyst is an entry-level professional who uses data to help organizations make informed decisions. They are responsible for collecting, cleaning, and interpreting data using tools like Excel, SQL, or Python. Their work often involves creating reports, identifying trends, and supporting more senior analysts or business units with actionable insights. This role is ideal for individuals who have recently completed a degree in fields like statistics, mathematics, computer science, or related disciplines.
To thrive as a Recent Grad Data Analyst, you need a strong grasp of statistics, data manipulation, and analytical thinking, often supported by a relevant degree in mathematics, statistics, or computer science. Familiarity with tools such as Excel, SQL, Python, and data visualization platforms like Tableau or Power BI is typically expected. Strong attention to detail, problem-solving abilities, and clear communication help you interpret data and convey insights to stakeholders. These skills are essential for transforming raw data into actionable information that drives business decisions.
Recent graduates entering data analyst roles often encounter challenges such as adjusting to real-world datasets, which can be messy and incomplete compared to academic examples. They may also need to quickly learn company-specific tools or databases and adapt to collaborative workflows, including working with stakeholders from non-technical backgrounds. To overcome these challenges, new analysts should proactively seek mentorship, participate in team meetings to understand business objectives, and invest time in mastering both technical tools and effective communication. Embracing continuous learning and asking questions early can help accelerate their transition into a productive team member.
Recent graduate data analysts are still in high demand as organizations increasingly rely on data-driven decision-making. Entry-level roles often require skills in SQL, Excel, and data visualization tools like Tableau or Power BI, with strong analytical and problem-solving abilities valued by employers.
To become a recent graduate data analyst, obtain a relevant bachelor's degree such as in data science, statistics, or computer science. Develop skills in data analysis tools like Excel, SQL, and programming languages such as Python or R, and gain experience through internships or projects to build a strong portfolio.
Recent graduate data analysts remain in demand as organizations increasingly rely on data-driven decision-making, and proficiency in tools like SQL, Python, or R enhances job prospects. Entry-level roles often require strong analytical skills, a solid understanding of statistics, and the ability to communicate insights effectively, making it a viable career choice in 2026.
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