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Analytics Implementation Engineer Jobs in Northbrook, IL

Senior Analytics Engineer

Chicago, IL · On-site

$107K - $147K/yr

... seeking a Senior Analytics Engineer to join their Data Architecture team. In this hands-on ... • Implement data quality testing, validation, and documentation to ensure trusted data • ...

Define work elements, complete floor observations, analyze data, and implement engineered standards in Distribution Centers (DCs) across the United States * Trend analysis of DCs performance ...

Industrial Engineer

Rosemont, IL

$68K - $92K/yr

Define work elements, complete floor observations, analyze data, and implement engineered standards in Distribution Centers (DCs) across the United States * Trend analysis of DCs performance ...

... across engineering, operations, and client teams to ensure on-time delivery. • Facilitate kick ... Strong analytical and data-driven mindset; able to translate implementation data and client ...

... across engineering, operations, and client teams to ensure on-time delivery. • Facilitate kick ... Strong analytical and data-driven mindset; able to translate implementation data and client ...

Analytical Mindset: High attention to detail, accuracy, and strong problem-solving capabilities. If ... With units specializing in Accounting and Finance, Administrative, Engineering, Marketing ...

You are the strategic hub connecting Sales, Pre-Sales, Engineering, Operations, and Customer ... Strong analytical and data-driven mindset; able to translate implementation data and client ...

Strong understanding of data engineering concepts * Experience designing and implementing data ... Analytics Strategy Development * Data Governance Framework Implementation * Business Intelligence ...

Showing results 41-60

Analytics Implementation Engineer information

See Northbrook, IL salary details

$27

$52

$81

How much do analytics implementation engineer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for analytics implementation engineer in Northbrook, IL is $52.18, according to ZipRecruiter salary data. Most workers in this role earn between $39.04 and $61.97 per hour, depending on experience, location, and employer.

What is an analytics implementation engineer?

An Analytics Implementation Engineer is a professional responsible for setting up, configuring, and maintaining digital analytics tools on websites and mobile applications. They work closely with stakeholders to understand business requirements, translate them into technical tracking specifications, and ensure accurate data collection for analysis. Their role often involves deploying tags, managing tag management systems, and troubleshooting data issues. This position requires a combination of technical skills, understanding of marketing analytics, and strong problem-solving abilities.

What are the key skills and qualifications needed to thrive as an analytics implementation engineer?

To thrive as an Analytics Implementation Engineer, you need strong expertise in web analytics, JavaScript, tag management systems, and a background in computer science or a related field. Familiarity with tools like Google Tag Manager, Adobe Analytics, and certifications in analytics platforms are often expected. Attention to detail, problem-solving, and effective communication with stakeholders set top performers apart. These skills are vital for accurately collecting, interpreting, and communicating data to drive business insights and optimize digital experiences.

What are some common challenges faced by analytics implementation engineers when integrating analytics tools across multiple platforms?

Analytics Implementation Engineers often encounter challenges such as ensuring data consistency and accuracy across various digital platforms, dealing with legacy systems that may not easily support modern analytics tools, and navigating frequent updates or changes in website or app architectures. Close collaboration with development, product, and marketing teams is critical to clarify tracking requirements and maintain reliable data flows. Addressing these challenges requires a strong understanding of both the technical aspects of analytics tools and the business needs driving data collection.

What is the difference between Analytics Implementation Engineer vs Data Analyst?

AspectAnalytics Implementation EngineerData Analyst
Required CredentialsBachelor's in CS, IT, or related field; certifications in analytics toolsBachelor's in Statistics, Math, or related field; often similar certifications
Work EnvironmentTechnical teams, project-based, focus on system setupBusiness units, reporting, data interpretation
Employer & Industry UsageTech companies, marketing agencies, e-commerceFinance, healthcare, retail, consulting

While both roles involve working with data, the Analytics Implementation Engineer primarily focuses on deploying and integrating analytics tools and systems, whereas the Data Analyst concentrates on analyzing data to generate insights. The roles often overlap in skills and certifications but differ in their core responsibilities and work environments.

What cities near Northbrook, IL are hiring for Analytics Implementation Engineer jobs?

Cities near Northbrook, IL with the most Analytics Implementation Engineer job openings:

Client Partner/ Account Director - Analytics Consulting

Tiger Analytics Inc.

Chicago, IL • On-site, Remote

Full-time

Re-posted 22 days ago


Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. If you are passionate to work on unstructured business problems that can be solved using data and excited about building, leading, and enabling a team of analytics professionals toward that objective, we would like to talk to you.

Responsibilities:

  • Lead delivery, account management, client relationships, and drive account growth.
  • Leverage advanced data science and data engineering solutions to address complex business challenges for CPG and Retail clients.
  • Partner with business and data stakeholders to understand key priorities, define problem statements, and develop strategic analytics roadmaps, including identification and prioritization of high-impact use cases.
  • Collaborate with cross-functional teams of data scientists, data engineers, and analysts to define requirements and deliver high-quality, scalable solutions.
  • Drive measurable business impact by delivering solutions aligned to strategic, operational, and tactical objectives, and present outcomes to executive leadership.

Requirements

  • 15+ years of experience in the field of delivering advanced analytics-based consulting services to clients and experience in designing/implementing large data analytics or data engineering programs.
  • Experience managing large accounts and being actively involved in account growth would be an added advantage. P&L ownership in the past would also be an added advantage.
  • Ability to engage with VP / Director-level stakeholders from the client's team, including data leads, and with internal remote teams to define business problems and collaborate on solution approaches.
  • Knowledge of domains like Retail & CPG will be highly preferred.
  • Experience as a hands-on contributor or in leading a team on price & promotion optimisation programs is a plus.
  • Excellent communication (written and verbal) and presentation skills.
  • Ability to work with global teams, communicating client business problem context to the remote teams and leveraging them effectively in execution, while owning client presentation, project management and expectation setting.
  • Working from client offices in Chicago, IL 3 days a week. Open to travel for onboarding to India.
  • Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes.
  • Experience with analytic tools such as R, Python, AWS, Databricks, and exposure to cloud platforms and big data systems is an advantage.
  • 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.