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Lead Data Analytics Engineer Jobs in Chicago, IL

Data & Analytics Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Role Overview The Data & Analytics Engineer is Collectiv's most versatile technical consultant, combining deep data engineering expertise with advanced Power BI and analytics delivery capabilities.

Data & Analytics Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Role Overview The Data & Analytics Engineer is Collectiv's most versatile technical consultant, combining deep data engineering expertise with advanced Power BI and analytics delivery capabilities.

Data Analytics Engineer

Chicago, IL · On-site

$114K - $194K/yr

Data Analytics Engineer****Key skills required for the role:*** Advanced data analytics skills using ML, AI and GenAI.* Expertise in designing data driven AI solution for complex business needs.

Data Analytics Engineer

Chicago, IL · On-site

$114K - $194K/yr

Data Analytics Engineer Key skills required for the role: * Advanced data analytics skills using ML, AI and GenAI. * Expertise in designing data driven AI solution for complex business needs.

Data Analytics Engineer

Chicago, IL · On-site

$114K - $194K/yr

Data Analytics Engineer Key skills required for the role: * Advanced data analytics skills using ML, AI and GenAI. * Expertise in designing data driven AI solution for complex business needs.

Data Analytics Engineer

Chicago, IL · On-site

$114K - $194K/yr

Data Analytics Engineer Key skills required for the role: * Advanced data analytics skills using ML, AI and GenAI. * Expertise in designing data driven AI solution for complex business needs.

AI Data Analytics Engineer

Lisle, IL · On-site

$112K - $135K/yr

Your Job We are seeking an experienced AI Data Analytics Engineer to accelerate data-driven engineering across Molex's Optical Connectivity product portfolio. This hands‑on role blends agentic AI ...

Infrastructure Data Analytics Engineer

Chicago, IL · On-site

$118K - $141K/yr

The Infrastructure Data Analytics Engineer is responsible for acquiring, transforming, integrating, and analyzing data from infrastructure, platform, cloud, and enterprise technology systems. This ...

AI Data Analytics Engineer

Lisle, IL · On-site

$112K - $135K/yr

Your Job We are seeking an experienced AI Data Analytics Engineer to accelerate data-driven engineering across Molex's Optical Connectivity product portfolio. This hands-on role blends agentic AI ...

Lead Data Engineer

Chicago, IL · Remote

$105K - $139K/yr

Now we are investing in the next evolution of our data, analytics, and artificial intelligence ecosystem. We are looking for a Lead Data Engineer who's ready to do more than just build pipelines on ...

Lead Data Engineer

Chicago, IL · On-site

$105K - $139K/yr

We are investing in the next evolution of our data, analytics, and artificial intelligence ecosystem. We are looking for a Lead Data Engineer who's ready to do more than just build pipelines on ...

Lead Data Engineer

Chicago, IL · On-site +1

$111K - $160K/yr

Now we are investing in the next evolution of our data, analytics, and artificial intelligence ecosystem. We are looking for a Lead Data Engineer who's ready to do more than just build pipelines on ...

Lead Data Engineer

Chicago, IL · On-site +1

$111K - $160K/yr

Now we are investing in the next evolution of our data, analytics, and artificial intelligence ecosystem. We are looking for a Lead Data Engineer who's ready to do more than just build pipelines on ...

Now we are investing in the next evolution of our data, analytics, and artificial intelligence ecosystem. We are looking for a Lead Data Engineer who's ready to do more than just build pipelines on ...

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Showing results 1-20

Lead Data Analytics Engineer information

See Chicago, IL salary details

$43.8K

$127.5K

$185.9K

How much do lead data analytics engineer jobs pay per year?

As of Sep 15, 2026, the average yearly pay for lead data analytics engineer in Chicago, IL is $127,516.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,600.00 and $139,100.00 per year, depending on experience, location, and employer.

What does a Lead Data Analytics Engineer do?

A Lead Data Analytics Engineer oversees the design, development, and maintenance of data analytics systems within an organization. They lead teams to build data pipelines, optimize data workflows, and ensure data quality and accessibility for business insights. Their role often involves collaborating with data scientists, analysts, and stakeholders to translate business requirements into technical solutions. Additionally, they are responsible for setting best practices, mentoring team members, and staying updated with emerging technologies in data engineering.

What are the key skills and qualifications needed to thrive as a Lead Data Analytics Engineer?

To thrive as a Lead Data Analytics Engineer, you need advanced expertise in data modeling, statistical analysis, and programming, typically supported by a degree in computer science, statistics, or a related field. Mastery of tools such as SQL, Python, R, cloud platforms (like AWS or Azure), and data visualization software, along with certifications like AWS Certified Data Analytics or Google Professional Data Engineer, is highly valued. Strong leadership, problem-solving, and communication skills help you guide teams and translate complex data insights to stakeholders. These competencies are essential for delivering impactful analytics solutions and driving data-driven decision-making within organizations.

How does a Lead Data Analytics Engineer typically collaborate with cross-functional teams?

A Lead Data Analytics Engineer frequently partners with data scientists, business analysts, and software engineers to design and implement scalable analytics solutions. They often act as a bridge between technical teams and business stakeholders, translating business requirements into actionable data models and pipelines. Effective communication and project management skills are crucial in ensuring alignment on goals, timelines, and deliverables. Regular meetings and agile workflows are common, fostering a collaborative environment that supports innovation and timely project delivery.

What is the difference between Lead Data Analytics Engineer vs Data Scientist?

AspectLead Data Analytics EngineerData Scientist
CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; certifications like AWS, Azure, or Google CloudBachelor's or Master's in Data Science, Statistics, or related fields; similar certifications
Work EnvironmentFocus on data infrastructure, pipelines, and analytics tools; often in engineering teamsFocus on statistical modeling, machine learning, and data interpretation; often in research or analytics teams
Employer & Industry UsageUsed in tech, finance, healthcare for building data systems and analytics platformsUsed across industries for predictive modeling, research, and insights generation

The main difference is that Lead Data Analytics Engineers primarily focus on building and maintaining data infrastructure and analytics pipelines, while Data Scientists concentrate on analyzing data, creating models, and deriving insights. Both roles require strong technical skills and often overlap, but their core responsibilities differ in scope and focus.

What cities near Chicago, IL are hiring for Lead Data Analytics Engineer jobs?

Cities near Chicago, IL with the most Lead Data Analytics Engineer job openings:

Infographic showing various Lead Data Analytics Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 71% In-person, 3% Hybrid, and 26% Remote job distribution, with an average salary of $127,516 per year, or $61.3 per hour.

Data & Analytics Engineer

Chicago, IL • On-site, Remote

Collectiv
IT Services • 51 - 200 employees

$118K - $141K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 20 days ago


Job description

Role Overview

The Data & Analytics Engineer is Collectiv's most versatile technical consultant, combining deep data engineering expertise with advanced Power BI and analytics delivery capabilities. This role closes the gap between backend data platform work and front-end analytics, enabling a single consultant to take a client from raw data ingestion through to polished, insight-ready dashboards.

You design and implement modern lakehouse architectures on Microsoft Fabric and Databricks, build performant ELT/ETL pipelines, develop rich semantic models, and deliver complex Power BI reports, all while acting as a trusted technical advisor to enterprise clients. You thrive on translating ambiguous business requirements into scalable, well-documented technical solutions and are equally comfortable deep in Spark transformations or fine-tuning DAX formulas.

This role sits at the intersection of Collectiv's Data Engineering and Senior Power BI Consultant practices and is designed for experienced professionals who refuse to choose a lane.

Key Responsibilities

Data Platform & Lakehouse Engineering

  • Design and implement modern data platforms leveraging Microsoft Fabric (OneLake, Lakehouse, Data Factory) and Databricks (Spark, Delta Lake, SQL Warehouses)
  • Build and optimize data ingestion, transformation, and orchestration pipelines using ELT/ETL best practices
  • Develop scalable lakehouse architectures that support analytics, reporting, and downstream data products
  • Translate business and analytical requirements into technical data models (star schemas, semantic models, lakehouse patterns)
  • Write, optimize, and tune SQL and Spark-based transformations for large-scale analytical workloads
  • Apply version control, CI/CD concepts, and code review standards to all data engineering workflows

Power BI & Analytics Delivery

  • Design and implement complex data models utilizing Power BI, including enterprise-grade semantic layer development
  • Create visually compelling, interactive reports and dashboards that drive measurable client decisions
  • Develop, optimize, and peer-review DAX formulas for accuracy and performance at scale
  • Integrate data from diverse sources into Power BI, leveraging SQL skills for efficient extraction and transformation
  • Ensure data quality, reliability, and usability across the analytics platform
  • Enable self-service analytics by partnering with client business teams to deliver trusted datasets and dashboards

Client Consulting & Advisory

  • Work directly with client stakeholders to gather requirements, communicate technical concepts, and manage expectations
  • Provide expert guidance on Power BI solutions and data platform decisions; ensure precision in all data discussions
  • Conduct in-depth research on emerging tools and trends to keep clients ahead of the curve
  • Act as a core technical asset in Collectiv's marketing and business development efforts
  • Facilitate training sessions and support client teams through platform adoption and change
  • Build strong client relationships through clear communication, confidence with stakeholders, and a warm, personable presence
  • Take a proactive approach to delivery and client relationships by anticipating needs, following through on commitments, and looking for opportunities to add value

Engineering Excellence & Collaboration

  • Collaborate with project managers, architects, and fellow consultants to align technical delivery with project goals
  • Ensure solutions meet quality criteria related to performance, scalability, security, and maintainability
  • Contribute to internal documentation, reusable patterns, and knowledge sharing across Collectiv
  • Participate in post-project retrospectives and contribute to Collectiv's data platform standards

Required Qualifications

  • Bachelor's degree from an accredited university
  • 5+ years of combined experience in data engineering, analytics engineering, and/or BI consulting
  • Hands-on production experience with Microsoft Fabric and/or Databricks (both strongly preferred)
  • Advanced proficiency in Power BI, including complex data modeling, DAX authoring, and performance optimization
  • Power BI dataset modeling at enterprise scale and embedding/API scenarios
  • Strong SQL skills, including performance tuning and analytical query design
  • Experience designing analytics data models (star schemas, semantic models, lakehouse patterns)
  • Demonstrated ability to integrate data from diverse sources into both data platforms and BI tools
  • Proven track record in a client-facing consulting role, working independently and managing stakeholder expectations
  • Strong written and verbal communication style; data-filled, precise, and client-ready

Preferred Qualifications

  • Experience migrating or modernizing legacy data warehouses to lakehouse architectures
  • Experience integrating data platforms with downstream applications or external APIs
  • Consulting experience spanning multiple clients, industries, or verticals
  • Relevant certifications: Azure Solutions Architect, Azure Data Engineer, Microsoft Fabric (DP-600/DP-700), Databricks certifications
  • Exposure to advanced analytics use cases: AI/ML model integration, predictive dashboards, or advanced statistical analysis

What Success Looks Like

  • Clients trust you as their go-to technical advisor across both data platform and analytics decisions
  • Delivered solutions are scalable, well-documented, secure, and aligned to best practices
  • Consistently maintain a minimum 75% utilization rate by balancing high-quality client delivery, internal collaboration, and business priorities.
  • Business users are fully enabled through reliable semantic models and analytics-ready datasets
  • Power BI reports you build are cited by clients as transformative to their decision-making process
  • You actively contribute to Collectiv's data platform standards and continuously raise the bar for consulting excellence
  • You serve as a force multiplier; unblocking teammates and elevating the quality of every engagement you touch

Why Collectiv

Join Collectiv for a rewarding career in a fully remote work environment with quarterly in-person team experiences and competitive compensation. We provide a clear growth trajectory with professional development opportunities and a top-shelf benefits package. Enjoy unlimited time off and 100% covered health insurance, encompassing medical, dental, and vision plans for you and your family. Our comprehensive offerings, from a competitive 401(k) with a 4% match to educational assistance, tech stipend, and discounts on various goods and services, demonstrate our commitment to your well-being and success. At Collectiv, your career thrives with a perfect blend of remote flexibility, growth potential, and unparalleled benefits prioritizing your financial, physical, and emotional well-being.

Collectiv is the leading boutique consulting and strategy firm specializing in Analytics, Planning and AI with Power BI and the Microsoft Data Stack.

Our mission at Collectiv is simple: We help enterprises make better decisions.

Our Core Values

Growth Mindset- Bring solutions, not problems.

Excel with Humility- Be humbly brilliant.

Communicate Actively and Empathetically- Listen, ask, understand, help.

Work Hard, Play Hard- Results are proportional to effort.

Keep Calm and Carry On- Stay cool, calm and Collectiv.

Collectiv is the leading boutique consulting and strategy firm specializing in Analytics, Planning, and AI with Power BI and the Microsoft Data Stack. Our mission: We help enterprises make better decisions.

Employment Type: FULL_TIME