1

Recent Grad Data Analyst Jobs in Illinois (NOW HIRING)

Summary The Manager, Data Analytics will provide data analytics services to help solve business ... Minimum 7 years of recent hands-on experience using advanced analytics, machine learning or ...

Grad Student NoTB

Campus, IL

$14.75 - $18.75/hr

Yitong Xin is looking to hire a Grad Student NoTB (job code 1632) to support the research team ... Quantitative data analysis using R, SPSS, or similar statistical hardware * Data management ...

Grad Student NoTB

Campus, IL · On-site

$14.75 - $18.75/hr

Yitong Xin is looking to hire a Grad Student NoTB (job code 1632) to support the research team ... Quantitative data analysis using R, SPSS, or similar statistical hardware * Data management ...

Grad Student NoTB

Campus, IL · On-site

$14.75 - $18.75/hr

Yitong Xin is looking to hire a Grad Student NoTB (job code 1632) to support the research team ... Quantitative data analysis using R, SPSS, or similar statistical hardware * Data management ...

KPMG is currently seeking a Manager, Oracle Data &Analytics in Enterprise Solutions for our ... Minimum five years of recent experience with Fusion DataIntelligence (FDI) across one or more of ...

If you are a recent grad or you have up to three years' experience, we're interested. You should ... And you should have strong analytical and organizational skills. You must be a team player. What ...

Showing results 21-40

Recent Grad Data Analyst information

What are some common challenges recent graduates face when starting as data analysts, and how can they overcome them?

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.

What are the key skills and qualifications needed to thrive as a recent grad data analyst?

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.

What does a recent grad data analyst do?

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.
What cities in Illinois are hiring for Recent Grad Data Analyst jobs? Cities in Illinois with the most Recent Grad Data Analyst job openings:
Infographic showing various Recent Grad Data Analyst job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

New Grad Full-Time Quantitative Trader

WallStreetQuants

Chicago, IL

Full-time

Posted 26 days ago


Job description

About the Role

A proprietary trading firm based in Chicago is seeking a highly motivated New Grad Quantitative Trader to join the team full-time. In this role, you will apply analytical thinking, market intuition, and quantitative problem-solving to identify trading opportunities, manage risk, and contribute to the development of data-driven strategies across global markets.

This is an ideal opportunity for recent graduates who are passionate about financial markets, probability, game theory, technology, and fast-paced decision-making. You will work closely with experienced traders, quantitative researchers, and engineers to learn how modern trading strategies are designed, tested, and executed.

Requirements

Responsibilities
  • Monitor and analyze real-time market data to identify trading opportunities.
  • Support the development, testing, and refinement of quantitative trading strategies.
  • Make fast, data-informed trading decisions while managing risk.
  • Collaborate with traders, researchers, and engineers to improve trading models, tools, and execution systems.
  • Conduct statistical analysis on historical and live market data.
  • Evaluate market microstructure, liquidity, volatility, and other drivers of price movement.
  • Participate in trading simulations, training programs, and strategy review sessions.
  • Communicate trade ideas, risks, and performance insights clearly to the team.
  • Continuously improve decision-making through feedback, research, and post-trade analysis.
Qualifications
  • Bachelor's, Master's, or PhD degree in Mathematics, Statistics, Computer Science, Engineering, Physics, Economics, Finance, or a related quantitative field.
  • Strong quantitative, analytical, and problem-solving skills.
  • Interest in financial markets, trading, probability, strategy games, or competitive problem-solving.
  • Ability to make decisions quickly and remain calm under pressure.
  • Strong attention to detail and intellectual curiosity.
  • Excellent communication and teamwork skills.
  • Programming experience in Python or a similar language is preferred.
  • Prior internship, research, trading competition, or personal project experience involving data analysis, markets, or quantitative modeling is a plus but not required.
Ideal Candidate

The ideal candidate is intellectually curious, competitive, numerically strong, and comfortable making decisions with incomplete information. You enjoy solving complex problems, thinking strategically, learning from feedback, and working in a fast-moving environment where performance and precision matter.

Benefits

What We Offer
  • Comprehensive training in trading, market structure, risk management, and quantitative strategy development.
  • Mentorship from experienced traders, researchers, and technologists.
  • Exposure to live markets and real-time trading decision-making.
  • A collaborative, high-performance environment that values curiosity, discipline, and continuous learning.
  • Opportunities for rapid growth based on performance, ownership, and impact.
  • Competitive compensation and benefits package.