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Statistical Data Analyst Jobs in Chicago, IL (NOW HIRING)

Zynga's Data Science and Analytics team uses our unique and expansive data to model and predict ... statistical causation between campaigns, sweepstakes, outreach programs across various regions ...

The ideal candidate will have strong analytical skills and experience working with large datasets, data visualization tools, and statistical techniques to identify trends, build predictive models ...

Data Analyst

Lake Forest, IL · Hybrid

$67K - $108K/yr

Perform data analysis accurately and timely using statistical techniques to identify trends and correlations for business units. * Ensure all data is compliant maintaining data integrity and accuracy.

Data Analyst

Lake Forest, IL · Hybrid

$67K - $108K/yr

Perform data analysis accurately and timely using statistical techniques to identify trends and correlations for business units. * Ensure all data is compliant maintaining data integrity and accuracy.

Data Analyst

Lake Forest, IL · On-site

$67K - $108K/yr

Perform data analysis accurately and timely using statistical techniques to identify trends and correlations for business units. * Ensure all data is compliant maintaining data integrity and accuracy.

Statistical & Machine Learning modeling; Data Visualization & Dissemination; Analytics Engineering & Architecture; Business Intelligence and Strategy (BI Engineer, BI Developer, BI Analyst, Data ...

Sr. Data Analyst

Northbrook, IL · Hybrid

$142K - $152K/yr

Perform descriptive, predictive, and prescriptive analytics in SQL, Azure, PowerBI, and MS Excel using statistical models or industry accepted tools. Provide automated data solutions, tools, and ...

Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, or ... Strong analytical and problem-solving skills. * Ability to work independently and in a team ...

Sr. Data Analyst

Northbrook, IL · On-site

$142K - $152K/yr

Perform descriptive, predictive, and prescriptive analytics in SQL, Azure, PowerBI, and MS Excel using statistical models or industry accepted tools. Provide automated data solutions, tools, and ...

As a Data Analyst, you will be responsible assisting with resolution of consumer/commercial card ... Statistics, Economics, Mathematics, Finance, Operations Research or related quantitative)

Duties will include financial performance data analysis and presentation, interpreting data from analysis using statistical techniques, reporting, forecasting, developing and implementing data ...

Showing results 21-40

Statistical Data Analyst information

See Chicago, IL salary details

$30.9K

$72.6K

$121.1K

How much do statistical data analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for statistical data analyst in Chicago, IL is $72,631.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,300.00 and $83,500.00 per year, depending on experience, location, and employer.

What does a statistical data analyst do?

A Statistical Data Analyst is responsible for collecting, processing, and interpreting large sets of data to identify trends, patterns, and insights that inform business decisions. They use statistical techniques and software tools to analyze data, create reports, and present their findings to stakeholders. Statistical Data Analysts often work closely with other teams to support research, improve processes, or solve specific problems using data-driven approaches.

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

To thrive as a Statistical Data Analyst, you need strong quantitative skills, a solid background in statistics or mathematics, and typically a bachelor's or master's degree in a related field. Proficiency with statistical software such as R, SAS, SPSS, or Python, as well as experience with data visualization tools and databases, is essential. Outstanding analytical thinking, attention to detail, and the ability to communicate complex findings clearly make someone stand out in this position. These skills are crucial for accurately interpreting data, providing actionable insights, and supporting effective decision-making within organizations.

What are some common challenges statistical data analysts face when interpreting large datasets, and how are these typically addressed in the workplace?

Statistical Data Analysts often encounter challenges such as dealing with incomplete or inconsistent data, managing large volumes of information, and ensuring the accuracy of their analyses. To address these, analysts typically use data cleaning techniques, collaborate closely with data engineers or IT teams to streamline data pipelines, and employ robust statistical methods to minimize errors. Regular team meetings and peer reviews are also common practices to ensure the validity of results and to foster a collaborative problem-solving environment.

What is the difference between Statistical Data Analyst vs Data Scientist?

AspectStatistical Data AnalystData Scientist
Required CredentialsBachelor's in Statistics, Mathematics, or related field; often certifications in data analysisBachelor's or higher in Computer Science, Statistics, or related; often advanced degrees and certifications in machine learning
Work EnvironmentCorporate, finance, healthcare, government; focused on data reporting and analysisTech firms, startups, research; involves data modeling, machine learning, and predictive analytics
Employer & Industry UsageUsed across industries for data reporting and insightsUsed in tech, finance, and research for complex data modeling and predictive tasks

While both roles analyze data, Statistical Data Analysts focus on interpreting data and generating reports, whereas Data Scientists develop models and algorithms to predict future trends. The roles overlap in skills but differ in complexity and scope.

What job categories do people searching Statistical Data Analyst jobs in Chicago, IL look for?

The top searched job categories for Statistical Data Analyst jobs in Chicago, IL are:

Infographic showing various Statistical Data Analyst job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $72,631 per year, or $34.9 per hour.

$77K - $114K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 hours ago


Job description

Zynga's mission is to connect the world through games. Its vision was that gaming would become a mass market activity, and "play" would be an important verb in our daily lives. As a part of this vision, Zynga Analytics partners with studios to release and grow multiple games, while also owning the analytics stack and central tools.

Zynga's Data Science and Analytics team uses our unique and expansive data to model and predict user behavior, making our games more personalized and more fun to play! We continually strive to better understand our players!

Here's where you would come in: The Player Success Org (PSO), tasked with improving player engagement and managing a healthy relationship with our most valued players, is a critical function to the day-to-day operations of Zynga. You'd be expected to work with key stakeholders within the PSO to identify critical data dependencies, and devise solutions for them in the form of efficient data modeling, succinct reporting, timely investigations, and proactive insights.

Based on the problem at hand, you'd be expected to collaborate with Game and Central Analytics as per requirement to ensure complete horizontal alignment as well as standardized practices.

Be innovative, be creative, use every bit of that key commodity - data. Millions of people play Zynga games every day, so our data is tremendously rich, and we have a lot of it!

What You'll Do:
  • Work with large amounts of data to find opportunities to improve the player experience and present insights on optimal VIP outreach strategies, by finding statistical causation between campaigns, sweepstakes, outreach programs across various regions, demographics, and channels
  • Develop clear narratives from data using visualization tools that capture VIP engagement & health, player support, and campaign stats.
  • Extend support to the Player Support team to identify improvement opportunities in customer satisfaction, while optimizing for internal costs.
  • Collaborate with game analysts and product managers to better quantify the impact of PSO's campaigns on overall game performance and find opportunities to improve VIP engagement by leveraging in-game and external synergy
  • Provide adhoc support to account managers and senior stakeholders in measuring the effectiveness of off-beat campaigns, joint collaborations, and sweepstakes
What You Bring:
  • Fluent in SQL; Intermediate experience with programming in Python
  • Adept in at least one visualization tool such as Tableau
  • Experience in CRM or sales analytics is helpful
  • Demonstrated experience with some or all of the following: data mining, optimization, experimental design, computational analytics, and reporting
  • Ability to work effectively in a fast-paced environment with changing priorities
  • Strong written and oral communication skills
  • 2+ years of work experience in data analytics or data science roles
  • BS in Computer Science, Math, Statistics, Economics, or other quantitative field; Masters, MBA or PhD preferred.
What We Offer You:

Zynga offers a world-class benefits package that helps support and balance the needs of our teams. To find out more about our benefits, visit the Zynga Benefits site

The pay range for this position in Illinois at the start of employment is expected to be between $77,100 and $114,120 per year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations.

Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program.

Regular, full-time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company's discretionary time off program; up to 10 paid sick days per calendar year; paid parental and compassionate leave; wellbeing programs for mental health and other wellness support; family planning support through Maven; commuter benefits; and reimbursements for fitness-related expenses. The use of Artificial Intelligence is not being used to screen candidates. The position is for an existing vacancy.

Please note that Zynga is unable to provide visa sponsorship or assistance for this position. All candidates must be legally authorized to work in the United States without requiring current or future employer sponsorship.