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Manager Data Analytics Engineer Jobs in Schaumburg, IL

Data & Analytics Engineer

Chicago, IL · On-site

$118K - $141K/yr

Collaborate with project managers, architects, and fellow consultants to align technical delivery ... in data engineering, analytics engineering, and/or BI consulting * Hands-on production experience ...

New

Data & Analytics Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Collaborate with project managers, architects, and fellow consultants to align technical delivery ... in data engineering, analytics engineering, and/or BI consulting * Hands-on production experience ...

New

Data & Analytics Engineer

Chicago, IL · On-site

$118K - $141K/yr

Collaborate with project managers, architects, and fellow consultants to align technical delivery ... in data engineering, analytics engineering, and/or BI consulting * Hands-on production experience ...

New

Data Analytics Engineer

Chicago, IL · On-site

$114K - $194K/yr

About Northern Trust As a global leader in innovative wealth management, asset servicing, asset ... Data Analytics Engineer Key skills required for the role: * Advanced data analytics skills using ML ...

Data Analytics Engineer

Chicago, IL · On-site

$114K - $194K/yr

About Northern Trust As a global leader in innovative wealth management, asset servicing, asset ... Data Analytics Engineer Key skills required for the role: * Advanced data analytics skills using ML ...

Summary The Manager, Data Analytics will provide data analytics services to help solve business ... Engineering or a related field. * Minimum 7 years of recent hands-on experience using advanced ...

The Infrastructure Data Analytics Engineer is responsible for acquiring, transforming, integrating ... Infrastructure monitoring platforms * CMDB and asset management systems * Cloud platforms (Azure ...

As an integral part of the Data team, you will join forces with the Sr. Manager, Data and Analytics (to whom you will also report) and Senior Analytics Engineer in our continued effort to inspire ...

As an integral part of the Data team, you will join forces with the Sr. Manager, Data and Analytics (to whom you will also report) and Senior Analytics Engineer in our continued effort to inspire ...

Seven+ years of professional experience in data science, analytics engineering or applied analytics ... Experience managing cross-functional initiatives and data platforms. * Disciplined and flexible ...

New

The Senior Manager, Data & Analytics (D&A) is responsible for leading the development, implementation, and optimization of data and analytics capabilities across the organization, including AI ...

The Senior Manager, Data & Analytics (D&A) is responsible for leading the development, implementation, and optimization of data and analytics capabilities across the organization, including AI ...

The Senior Manager, Data & Analytics (D&A) is responsible for leading the development, implementation, and optimization of data and analytics capabilities across the organization, including AI ...

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Showing results 1-20

Manager Data Analytics Engineer information

See Schaumburg, IL salary details

$43.7K

$127.4K

$174.3K

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

As of Aug 29, 2026, the average yearly pay for manager data analytics engineer in Schaumburg, IL is $127,377.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,400.00 and $135,000.00 per year, depending on experience, location, and employer.

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

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

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

What are the most commonly searched types of Data Analytics Engineer jobs in Schaumburg, IL?

The most popular types of Data Analytics Engineer jobs in Schaumburg, IL are:

What are popular job titles related to Manager Data Analytics Engineer jobs in Schaumburg, IL?

For Manager Data Analytics Engineer jobs in Schaumburg, IL, the most frequently searched job titles are:

What job categories do people searching Manager Data Analytics Engineer jobs in Schaumburg, IL look for?

The top searched job categories for Manager Data Analytics Engineer jobs in Schaumburg, IL are:

What cities near Schaumburg, IL are hiring for Manager Data Analytics Engineer jobs?

Cities near Schaumburg, IL with the most Manager Data Analytics Engineer job openings:

Infographic showing various Manager Data Analytics Engineer job openings in Schaumburg, IL as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 62% In-person, 13% Hybrid, and 25% Remote job distribution, with an average salary of $127,377 per year, or $61.2 per hour.

Data & Analytics Engineer

Collectiv

Chicago, IL • On-site

$118K - $141K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 3 days ago

New


Job description

Role Overview

The Full Stack 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