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Analytics Associate Jobs in Deerfield, IL (NOW HIRING)

Fusion92

Associate Director, Analytics

Chicago, IL · On-site

Associate Director, Analytics The Associate Analytics Director will raise the bar across the agency by fueling a culture of data driven results in everything the agency does. They will be responsible ...

Fusion92

Associate Director, Analytics

Chicago, IL · On-site

Associate Director, Analytics The Associate Analytics Director will raise the bar across the agency by fueling a culture of data driven results in everything the agency does. They will be responsible ...

Wiz, Inc.

GTM FP&A Associate

Chicago, IL · On-site

As a GTM FP&A Associate, you will be responsible for assisting the team in analyzing financial data, preparing reports, and providing insights to support decision-making processes. You will work ...

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Analytics Associate information

See Deerfield, IL salary details

$3.3K

$6.4K

$9.2K

How much do analytics associate jobs pay per month?

As of Aug 10, 2026, the average monthly pay for analytics associate in Deerfield, IL is $6,397.17, according to ZipRecruiter salary data. Most workers in this role earn between $5,808.33 and $6,825.00 per month, depending on experience, location, and employer.

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 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.
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Analytics Associate jobs near you

Associate Director/Director - Analytics Consulting

Tiger Analytics Inc.

Chicago, IL • On-site

Full-time

Re-posted 10 hours ago

Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

If you are passionate about working on business problems that can be solved using structured and unstructured data on a large scale, Tiger Analytics would like to talk to you.

Responsibilities

Program Leadership & Delivery: Lead the end-to-end delivery of complex data and analytics programs. Own the roadmap, from problem definition and solution design to production-grade deployment.

Stakeholder Management: Act as the primary point of contact for client VPs and Directors. Translate unstructured business problems into high-level analytics solution designs.

Global Team Management: Lead and mentor a hybrid team of onshore (US) and offshore (Global Delivery Center) data scientists and data engineers. Ensure seamless collaboration across time zones.

Solution Architecture: Work with technical leads to design of scalable AI/ML pipelines and data architectures. Ensure solutions adhere to enterprise standards and leverage modern technology stack

Domain Expertise: Apply deep Insurance domain knowledge to validate model outputs and ensure they align with industry nuances

Commercial Impact: Present analytical findings and quantify the business value and drive the operationalization of AI into business processes.

Requirements

  • 13-15 years of total experience with 7+ years in Insurance domain with consulting.
  • Ability to engage with executive/VP level stakeholders from client’s team to translate business problems to high level analytics solution approach
  • Deep knowledge and understanding of the US Insurance industry.
  • Strong project management and team management skills and ability to work with global teams.
  • Solid understanding of statistical and machine learning algorithms is a plus.
  • Strong SQL skills and hands-on experience with analytic tools like R & Python; & visualization tools like Qlik or Tableau is a plus
  • Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus
  • Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes
  • Graduate in Business Analytics or MBA or equivalent work experience

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.