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Analytics Associate Jobs in Chicago, IL (NOW HIRING)

Business Analytics Associate

Chicago, IL · On-site

$65K - $106K/yr

About The Role The Business Analytics Associate will conduct analyses focused on optimizing and understanding marketing channel performance, client retention, and lifetime customer value. The role ...

Guide and mentor Associates on teams. What You'll Bring * Bachelor's or master's degree required in any discipline with strong record of academic success in quantitative and analytic coursework such ...

You will conduct analyses, develop insights and contribute to strategic recommendations related to growth, access and care delivery strategy. You will collaborate with clients and internal teams ...

You will conduct analyses, develop insights and contribute tostrategic recommendations related to growth, access and care delivery strategy. You will collaborate with clients and internal teams ...

Perform QC analyses of other SAS Scientists studies and confirm accuracy of the derived data in the analytical database Responsible for statistical component of reports describing studies, outcomes ...

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Analytics Associate information

See Chicago, IL salary details

$3.3K

$6.5K

$9.3K

How much do analytics associate jobs pay per month?

As of Jun 25, 2026, the average monthly pay for analytics associate in Chicago, IL is $6,480.25, according to ZipRecruiter salary data. Most workers in this role earn between $5,883.33 and $6,908.33 per month, depending on experience, location, and employer.

What can you do with an associate's in data analytics?

An Analytics Associate with an associate's degree can perform data collection, cleaning, and analysis using tools like Excel, SQL, and basic statistical software. They often support data reporting, visualization, and assist in identifying trends to inform business decisions, typically working under supervision or as part of a data team.

How does an Analytics Associate typically collaborate with other departments within an organization?

Analytics Associates often work closely with teams such as marketing, finance, operations, and product management to understand their data needs and provide actionable insights. This collaboration involves regular meetings to discuss business goals, sharing analytical findings, and tailoring reports or dashboards to specific departmental objectives. Strong communication skills are key, as the role requires translating complex data analyses into clear recommendations for non-technical stakeholders. Building these cross-functional relationships not only enhances project outcomes but also provides valuable exposure to different areas of the business, supporting long-term career growth.

What does an associate analyst do?

An associate analyst supports data collection, analysis, and reporting to help organizations make informed decisions. They often work with tools like Excel, SQL, or data visualization software and may assist in preparing reports, identifying trends, and ensuring data accuracy under the supervision of senior analysts.

What is the difference between Analytics Associate vs Data Analyst?

AspectAnalytics AssociateData Analyst
Required CredentialsBachelor's degree in Business, Economics, or related field; often some certification in analytics toolsBachelor's degree in Statistics, Mathematics, or related; often similar certifications in data tools
Work EnvironmentCorporate settings, finance, marketing, or consulting firmsVarious industries including healthcare, finance, tech, and retail
Employer & Industry UsageCommon in finance, consulting, and corporate analytics teamsWidely used across industries for data-driven decision making

Analytics Associates and Data Analysts share similar educational backgrounds and work environments, often performing data collection, analysis, and reporting. The main difference lies in scope: Analytics Associates typically focus on supporting senior analysts and managers with specific projects, while Data Analysts may handle broader data interpretation and visualization tasks. Both roles are essential for organizations aiming to leverage data for strategic decisions.

What are the key skills and qualifications needed to thrive as an Analytics Associate, and why are they important?

To thrive as an Analytics Associate, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree in fields such as mathematics, economics, or data science. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is typically required. Attention to detail, critical thinking, and effective communication are crucial soft skills for interpreting data and presenting insights. These skills enable Analytics Associates to transform complex data into actionable business recommendations, driving informed decision-making.

What does an analytics associate do?

An analytics associate collects, analyzes, and interprets data to help organizations make informed business decisions. They often use tools like Excel, SQL, or data visualization software and may prepare reports or dashboards to communicate insights to stakeholders.

Is 40 too late for data science?

For an analytics associate or similar data-related roles, starting a career in data science at age 40 is possible, especially with relevant skills like programming, statistics, and tools such as Python or SQL. Many professionals transition into data science later in their careers, and employers value experience and diverse backgrounds. Continuous learning and certifications can enhance prospects regardless of age.
What are the most commonly searched types of Analytics jobs in Chicago, IL? The most popular types of Analytics jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Analytics Associate jobs? Cities near Chicago, IL with the most Analytics Associate job openings:
Infographic showing various Analytics Associate job openings in Chicago, IL as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $77,763 per year, or $37.4 per hour.
Quantitative Analytics Associate - Capital

Quantitative Analytics Associate - Capital

Keybank

Chicago, IL • On-site

Full-time

Posted 10 days ago


KeyBank rating

8.2

Company rating: 8.2 out of 10

Based on 89 frontline employees who took The Breakroom Quiz

38th of 142 rated banks


Job description

Location:

4900 Tiedeman Road, Brooklyn Ohio

ABOUT THE JOB (JOB BRIEF)
Under direct supervision, the Quantitative Analytics Associate is primarily responsible for using statistics, advanced mathematical techniques, and/or computer science to support the development and validation of predictive and machine-learning models for specific business needs. The Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis to provide solutions to predictive and prescriptive questions such as "What will happen next?" and "What will we do?". Projects undertaken by the Quantitative Analytics Associate are often broad in scope across multiple business segments and involve evaluation and testing on existing data with substantial team support.

This role sits within a specialized economic capital environment and offers the opportunity to work in a highly niche analytical space. The team is actively evolving how work is done by leveraging AI-generated code and modern tools, and this individual will play a key role in accelerating that transition.

Success factors include: timely and effective completion of tasks assigned by manager under significant supervision; building functional knowledge in analytical programming languages, data literacy, and model development; developing communication skills, business acumen, and critical thinking; establishing relationships with the working team; demonstrating a self-starter mentality; and contributing to the adoption and advancement of AI-driven solutions across the team.

ESSENTIAL JOB FUNCTIONS
Conduct quantitative analysis on large data sets with manager and team support, including work tied to economic capital modeling frameworks
Identify common data errors and their impact
Employ basic best practices for evaluating large data
Answer key business questions through exploration and discovery, including those tied to risk and capital modeling
Find patterns or anomalies by building out visualizations
Execute basic diagnostics testing under supervision (e.g. performance testing, assumption verification and impacts of limitations)
Tests, under supervision, suitability / sufficiency for approach (e.g. representativeness)
Support the team's transition toward AI-generated code, helping integrate AI tools into day-to-day workflows
Partner with team members to increase adoption and effective use of AI platforms and agentic tools
Learn existing economic capital approaches and help identify opportunities to enhance processes through automation and AI-driven solutions

REQUIRED QUALIFICATIONS
Bachelor's degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 1 year of relevant experience; 0 with Master's or PhD

DATA LITERACY
Understanding of:
Data wrangling including information documentation and importing data from different formats
Descriptive statistics, random variables, common distributions, outliers
Ability to consume, explore, and evaluate big data; can leverage this skill to inform business questions
Baseline understanding or interest in economic capital modeling concepts or similar quantitative frameworks

TECHNOLOGY & TECHNIQUES
Navigation, shortcuts, use and share spreadsheet documents
Python/R/SAS:
Perform IDE walk-through; shortcuts
Connect to data bases
Use functions such as classes, variables, lists, and classes
Program files, modules, and libraries
Exposure to or interest in standard AI and machine learning tools, including generative AI platforms
Familiarity with or curiosity around agentic tools and AI-assisted coding environments

MODEL BUILDING & MAINTENANCE
Familiar with concepts and usage of Data Leakage, Training, Testing, and Validation Sets for model building
Able to perform basic diagnostics testing
Understanding of:
Foundational statistical / measurement concepts, methods, and techniques
Basic uses, scope, features, benefits, and risks of available modeling methods
Ability to apply these concepts within an economic capital or risk modeling context over time

EXPECTED COMPETENCIES
Leadership: Works under general direction / supervision; may work independently, but often needs ongoing guidance and support; demonstrates initiative and ownership in a self-starter environment


Partnering / Influencing: Limited business partner interaction - work typically assigned by manager; Developing relationship building ability and interpersonal skills; Engage and interact mostly with immediate team and peers; Developing influencing skills; supports team adoption of new tools and approaches, including AI


Business Acumen: Developing basic understanding of business partner strategy; Building financial acumen; gains exposure to economic capital concepts and their business relevance


Critical Thinking / Problem Solving: Developing critical thinking skills; Can analyze simple issues with low complexity; Can give perspective to the team addressing basic business/analytical problems and challenges; Recognizes need to escalate issues in a timely manner; demonstrates curiosity and problem-solving mindset around process improvement and automation


Communication: Basic writing skills; beginning to develop ability to organize information in clear, consistent format; Typically needs assistance with articulating a clear, well-thought out message and formal delivery; Minimal skills in creating PowerPoint presentations; limited formal delivery; able to collaborate effectively and is easy to work with

COMPENSATION AND BENEFITS

This position is eligible to earn a base salary in the range of $69,000.00 - $105,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.

Please click here for a list of benefits for which this position is eligible.

Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.

Job Posting Expiration Date: 07/31/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law.

Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.

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About KeyBank

Sourced by ZipRecruiter

Key is one of the nation's largest bank-based financial services companies. Key provides deposit, lending, cash management, insurance, and investment services to individuals and businesses in 15 states under the name KeyBank National Association through a network of more than 1,200 branches and more than 1,500 ATMs. Key also provides a broad range of sophisticated corporate and investment banking products, such as merger and acquisition advice, public and private debt and equity, syndications, and derivatives to middle market companies in selected industries throughout the United States under the KeyBanc Capital Markets trade name.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Cleveland, OH, US

Year founded

1849