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Manager Data Analytics Engineer Jobs in Aurora, IL

Green Thumb

Analytics Engineer

Chicago, IL · Hybrid

You'll sit within the Data Analytics organization reporting to the Senior Manager of Analytics Engineering, working at the intersection of data engineering and business intelligence. This is a hybrid ...

Green Thumb

Analytics Engineer

Chicago, IL · On-site

$95K - $115K/yr

You'll sit within the Data Analytics organization reporting to the Senior Manager of Analytics Engineering, working at the intersection of data engineering and business intelligence. This is a hybrid ...

GreenThumb

Analytics Engineer

Chicago, IL · Hybrid

$95K - $115K/yr

You'll sit within the Data Analytics organization reporting to the Senior Manager of Analytics Engineering, working at the intersection of data engineering and business intelligence. This is a hybrid ...

Ardagh Group

Sr Manager, Data & Analytics

Chicago, IL · On-site

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 ...

Saxon Global

BI Analytics Engineer

Chicago, IL · On-site

$52.50 - $68.25/hr

Query optimization and cost management * Secure data sharing · Advanced SQL skills. · Proficiency ... and analytics engineering workflows. · Familiarity with Git and CI/CD for analytics and ML ...

Green Thumb Industries INC

Analytics Engineer

Chicago, IL · Hybrid

$95K - $115K/yr

You'll sit within the Data Analytics organization reporting to the Senior Manager of Analytics Engineering, working at the intersection of data engineering and business intelligence. This is a hybrid ...

Metropolis

Senior Analytics Engineer

Chicago, IL

$130K - $175K/yr

Who you are Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and ... Implement metadata management, data lineage, and security principles such as least-privilege access

Apex Informatics

Data Analyst

Chicago, IL · Hybrid

... Analytics Engineer to help us build a Security Master System. In this role, your duties will ... • Manage the execution of data analytics projects to drive value and gain insight from ...

Apex Informatics

Data Analyst

Chicago, IL · On-site

... Analytics Engineer to help us build a Security Master System. In this role, your duties will ... • Manage the execution of data analytics projects to drive value and gain insight from ...

Feastables

Senior Analytics Engineer

Chicago, IL

$130K - $160K/yr

The Senior Analytics Engineer is responsible for building and maintaining the core data workflows ... Design, build, and maintain data pipelines in Databricks using Python and SQL * Manage ingestion ...

Metropolis

Senior Analytics Engineer

Chicago, IL · On-site

$130K - $175K/yr

Who you are Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and ... Implement metadata management, data lineage, and security principles such as least-privilege access

Metropolis Corp

Senior Analytics Engineer

Chicago, IL · On-site

$130K - $175K/yr

Who you are Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and ... Implement metadata management, data lineage, and security principles such as least-privilege access

Metropolis

Senior Analytics Engineer

Chicago, IL

$130K - $175K/yr

Who you are Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and ... Implement metadata management, data lineage, and security principles such as least-privilege access

AllSTEM Connections

Data Analyst

Chicago, IL · On-site

Senior Data & Analytics Engineer (Enterprise Intelligence) Role Overview We are seeking a high ... Build and manage Databricks notebooks and Delta tables. Develop sophisticated data pipelines to ...

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All JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Aurora, IL

Manager Data Analytics Engineer information

See Aurora, IL salary details

$44.1K

$128.6K

$176K

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

As of May 28, 2026, the average yearly pay for manager data analytics engineer in Aurora, IL is $128,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 per year, depending on experience, location, and employer.

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.

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 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.

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 popular job titles related to Manager Data Analytics Engineer jobs in Aurora, IL? For Manager Data Analytics Engineer jobs in Aurora, IL, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Aurora, IL look for? The top searched job categories for Manager Data Analytics Engineer jobs in Aurora, IL are:
What cities near Aurora, IL are hiring for Manager Data Analytics Engineer jobs? Cities near Aurora, IL with the most Manager Data Analytics Engineer job openings:
Manager Data Analytics Engineer jobs near you
Product Manager, Data Analytics

Product Manager, Data Analytics

Equity Residential

Chicago, IL • On-site

$106.23K - $132.79K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 hours ago

Equity Residential rating

7.5

Company rating: 7.5 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

71st of 208 rated facilities management

Job description

Job Description
Reporting to the Senior Manager, Data Analytics, the candidate will be responsible for defining, delivering and continuously enhancing Equity Residential's analytics and machine-learning enabled products. This role sits at the intersection of data science, software engineering, and business strategy, translating analytical insights into scalable systems and partnering with technical teams to operationalize ML models into production-grade applications. The ideal candidate brings a blend of product management discipline, technical fluency in machine learning and data pipelines, and strong program management skills. This role collaborates closely with the Senior Software Engineer, data scientists, and business partners to build intuitive, reliable products that drive measurable impact on pricing, forecasting, and operational decision-making.
PLEASE NOTE: Our current onsite work schedule requires attendance from Monday through Thursday each week, with remote work permitted on Fridays.
WHAT YOU'LL DO:
  • Collaborates with business, analytics, and engineering teams to define the vision, strategy, and long-term roadmap for data and machine learning products.
  • Translates complex pricing, forecasting, and operational needs into clear product requirements, user stories, and acceptance criteria.
  • Leads prioritization across competing business and technical needs, managing backlogs and release plans.
  • Serves as product spokesperson and subject matter expert for analytics capabilities across the enterprise.
  • Works directly with data scientists to understand and refine model outputs, feature relevance, performance metrics, and constraints.
  • Applies strong technical knowledge of machine learning workflows, pipelines, APIs, and model monitoring to guide product direction and evaluate trade-offs.
  • Partners with the Senior Software Engineer Data & Analytics Products to operationalize models into user-facing applications and enterprise systems.
  • Ensures all ML-driven product features emphasize explainability, compliance, and reliability.
  • Defines and tracks key KPIs (e.g., model accuracy, revenue lift, adoption, system reliability) to measure product performance and business impact.
  • Establishes a structured cadence for reviewing KPIs with cross-functional partners and initiating corrective actions or enhancements.
  • Drives successful delivery of milestones across pilots, MVP releases, and product iterations.
  • Leads retrospectives and drives continuous improvement of analytics workflows, model governance, and product execution processes.
  • Acts as the bridge between data scientists, software engineers, IT, Pricing, and Operations teams.
  • Facilitates workshops, demos, feedback sessions, and cross-functional updates to maintain alignment and transparency.
  • Communicates complex analytical concepts in a clear, business-relevant manner for stakeholders at all levels.
  • Supports change management, training, and adoption for new analytics capabilities across the organization.

REQUIREMENTS:
  • Bachelor's degree required; degree in Business, Computer Science, Engineering, Analytics, Economics, or related field preferred.
  • 5 plus years of experience in Product Management, Technical Program Management, or Engineering, with a focus on data, analytics, or platform development.
  • Strong technical working knowledge of machine learning models, data pipelines, model deployment workflows, and APIs-with hands-on experience partnering with data scientists and engineers.
  • Demonstrated ability to integrate ML-driven features into end-to-end production systems and evaluate model performance.
  • Proficiency with SQL, analytics environments, and BI tools (Power BI, Tableau, etc.).
  • Proven experience with Agile methodologies, backlog management, sprint execution, and iterative product delivery.
  • Experience defining and managing program-level KPIs, establishing review cadences, and leading data-driven decision processes.
  • Preferred: Experience in Revenue Management, pricing optimization, forecasting, yield management, or similar analytical domains (real estate, hospitality, travel, etc.).
  • Excellent verbal and written communication skills with ability to translate between technical and non-technical stakeholders.

The Company may revise this job description from time to time as business needs require. It is not intended to be an exhaustive listing of all the functions of the job, nor to limit the Company's right to assign other functions to an employee in this position. This job description does not constitute a written or implied contract of employment.
SALARY:
$106,228-$132,785per year; in addition to base salary, a discretionary 16.0% annual bonus is provided.
The successful candidate's starting pay will be determined based on job-related skills, experience, and qualifications.
WE CARE ABOUT YOUR TOTAL WELLBEING:
  • Physical Wellbeing: Medical, dental, and vision care
  • Social Wellbeing: 9 paid holidays, annual vacation time, paid sick leave, new parent benefits
  • Financial Wellbeing: 401(k) Retirement Savings Plan, Rent Discounts, Competitive Compensation
  • Community Wellbeing: Paid Community Service Hours
  • Career Wellbeing: Leadership Development
  • Learn more about our Total Wellbeing program here.

RELOCATION:
Equity Residential does not cover relocation costs for this opportunity; all relocation and related expenses are the responsibility of the candidate.
PHYSICAL AND VISUAL ACTIVITIES:
Ability to effectively hear, speak, and communicate in person and over the phone, including the clear exchange of information through spoken and written communication. Ability to interpret, evaluate, and accurately convey detailed verbal and written instructions. Visual acuity sufficient to use a computer effectively and read written materials. Ability to lift, push, pull, or carry up to 15 pounds to distribute documents, supplies, and materials throughout the office or facility. May be required to climb stairs depending on property layout. Occasional travel may be required.
The above describes the physical and visual activities that are commonly associated with the performance of the essential functions of this job. Commonly associated is not intended to mean always or only. Reasonable accommodation will be provided as required by law to enable otherwise qualified employees with a known disability to perform the essential functions of the job.
WORKING ENVIRONMENT:
Our work environment is casual, collaborative, and people-first. Team members are encouraged to bring their authentic selves to work, share ideas openly, and communicate comfortably across all levels of the organization. While we value professionalism and accountability, we also believe a relaxed atmosphere fosters creativity, productivity, and strong working relationships. Employees enjoy a flexible, supportive culture where teamwork, mutual respect, and a sense of balance are priorities.
Equity Residential is an Equal Opportunity Employer. We are committed to equal employment opportunities for all job applicants and employees. No job applicant or employee will be discriminated against because of race, religion, color, sex, sexual orientation, gender, sexual/gender identity, age, disability, pregnancy, national origin, military or veteran status, or any other characteristic protected by applicable law. Equity Residential is committed to hiring a diverse workforce. Equity Residential has a smoke-free workplace environment.

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