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Data Analyst Jobs in Park Ridge, IL (NOW HIRING)

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 ...

Data Analyst

Lake Forest, IL · Hybrid

$67K - $108K/yr

As a Data Analyst, you will process, and analyze large datasets to uncover trends, patterns, and insights that support business decision making. Also, you will interpret complex data and present ...

Data Analyst Location: Chicago IL 60629 Duration: 3 months (Could go beyond) Summary of Position: * The position is a part of the Chicago Bakery Team, and reports into the CI Engineers. They will ...

* Collect, clean, and analyze technology data from various sources to identify trends, patterns, and anomalies. * Supports the development and distribution of daily, monthly, and quarterly reports to ...

Data Analyst

Chicago, IL · On-site

$187K/yr

Senior Data & Analytics Engineer (Enterprise Intelligence) Role Overview We are seeking a high-caliber Senior Data & Analytics Engineer to serve as a Subject Matter Expert (SME) within our enterprise ...

Data Analyst

Lake Forest, IL · On-site

$67K - $108K/yr

As a Data Analyst, you will process, and analyze large datasets to uncover trends, patterns, and insights that support business decision making. Also, you will interpret complex data and present ...

Data Analyst

Chicago, IL · On-site

$75K - $94K/yr

Data Analyst Location : 141 W. Jackson Blvd., Suite 500, Chicago, IL 60604 Responsibilities : Evaluate data flow and capture, anticipate requirements, uncover areas for improvement, develop and ...

Data Analyst

Chicago, IL · Hybrid

$75K - $94K/yr

Data Analyst Location : 141 W. Jackson Blvd., Suite 500, Chicago, IL 60604 Responsibilities : Evaluate data flow and capture, anticipate requirements, uncover areas for improvement, develop and ...

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real impact? Join Uline as a Data Analyst to be a driver of operational excellence. From searching for ...

Data Analyst Location: Chicago, IL Contract Understanding data concepts. Database/ lake/ fabric Understanding of ETL Elt packages Understanding of python Pyspark

New

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real impact? Join Uline as a Data Analyst to be a driver of operational excellence. From searching for ...

Title: Data Analyst Closest Metropolitan Area: Atlanta Location Type: Manufacturer Product Type: Polymer compounds Compensation Range: commensurate with experience * Manager customers purchasing ...

We are currently seeking a talented Lead Data Analyst to join us as we develop our data-driven, analytic-focused, and predictive products to help revolutionize the law enforcement sector. In this ...

We are currently seeking a talented Lead Data Analyst to join us as we develop our data-driven, analytic-focused, and predictive products to help revolutionize the law enforcement sector. In this ...

Big Data Analytics and Digital Experiences such as IoT, Wearables, UX, Mobile,IP-led solutions and engineered software solutions. Our 2,500 odd employees serve more than 350 global clients, a ...

Big Data Analytics and Digital Experiences such as IoT, Wearables, UX, Mobile,IP-led solutions and engineered software solutions. Our 2,500 odd employees serve more than 350 global clients, a ...

Capacity Planners scope, analyze and forecast the infrastructure demand that powers our diverse set ... They should expect to interact with numerous data sources spread across disparate systems to ...

Showing results 21-40

Data Analyst information

See Park Ridge, IL salary details

$33.5K

$81.3K

$133.8K

How much do data analyst jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data analyst in Park Ridge, IL is $81,318.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,500.00 and $95,400.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Can I learn a data analyst in 3 months?

A data analyst role requires skills in data manipulation, statistics, and tools like Excel, SQL, and Python or R. While three months can provide a foundational understanding through intensive training or bootcamps, gaining proficiency typically takes longer with consistent practice and real-world experience.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are top 3 skills for a data analyst?

The top three skills for a data analyst are proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software; strong analytical and problem-solving abilities; and effective communication skills to present insights clearly. Familiarity with data visualization tools such as Tableau or Power BI is also highly valuable. These skills enable data analysts to interpret complex data and support decision-making processes.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

What are the most commonly searched types of Data Analyst jobs in Park Ridge, IL?

The most popular types of Data Analyst jobs in Park Ridge, IL are:

What are popular job titles related to Data Analyst jobs in Park Ridge, IL?

For Data Analyst jobs in Park Ridge, IL, the most frequently searched job titles are:

What job categories do people searching Data Analyst jobs in Park Ridge, IL look for?

The top searched job categories for Data Analyst jobs in Park Ridge, IL are:

What cities near Park Ridge, IL are hiring for Data Analyst jobs?

Cities near Park Ridge, IL with the most Data Analyst job openings:

Infographic showing various Data Analyst job openings in Park Ridge, IL as of August 2026, with employment types broken down into 57% Full Time, 7% Part Time, and 36% Contract. Highlights an 86% In-person, 7% Hybrid, and 7% Remote job distribution, with an average salary of $81,318 per year, or $39.1 per hour.

$77K - $114K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days 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.