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Engineering Data Analyst Jobs in Illinois (NOW HIRING)

The ideal candidate will work closely with business stakeholders, data engineers, and application teams to analyze source and target data structures, define mapping requirements, and ensure accurate ...

Industrial Engineering * Or a related field. * 0-3 years of experience. * Fresh graduates are encouraged to apply. Required Skills * SQL * Microsoft Excel * Data Analysis * Power BI * Tableau * Data ...

Cannot work with OPT or CPT Description NTRS Asset and Market Data team is looking for an experienced and versatile Data Analytics Engineer to help us build a Security Master System. In this role ...

Perform feature engineering to enhance data models for machine learning applications. * Collaborate ... Strong analytical and problem-solving skills. * Ability to work independently and in a team ...

Data Analyst

Chicago, IL ยท On-site

$187K/yr

Senior Data & Analytics Engineer (Enterprise Intelligence) Role Overview We are seeking a high-caliber Senior Data & Analytics Engineer to serve as a Subject Matter Expert (SME) within our enterprise ...

We have openings for Business Systems/Data Analyst for one of our client at Richardson, TX or ... Experience in developing functional specifications for business process refinement, re-engineering ...

Data Analyst Location: Chicago IL 60629 Duration: 3 months (Could go beyond) Summary of Position ... The position is a part of the Chicago Bakery Team, and reports into the CI Engineers. They will ...

Bachelor's degree in data science, mathematics, economics, business, engineering, or a related quantitative field. * 2-4 years of experience in data analysis, business analysis, financial analysis ...

Perform feature engineering to enhance data models for machine learning applications. * Collaborate ... Strong analytical and problem-solving skills. * Ability to work independently and in a team ...

Bachelor's degree in data science, mathematics, economics, business, engineering, or a related quantitative field. * 2-4 years of experience in data analysis, business analysis, financial analysis ...

Data Analyst Corporate Headquarters 12575 Uline Dr. Pleasant Prairie, WI 53158 Ready to make a real ... VBA (or similar) programming knowledge required. * Robotic Process Automation (RPA) experience ...

Data Analyst

Lake Forest, IL ยท Hybrid

$67K - $108K/yr

As a Data Analyst, you will process, and analyze large datasets to uncover trends, patterns, and ... Experience with data visualization tools, programming languages, SQL, and Microsoft applications ...

Data Analyst

Lake Forest, IL ยท On-site

$80 - $100/hr

As a Data Analyst, you will process, and analyze large datasets to uncover trends, patterns, and ... Experience with data visualization tools, programming languages, SQL, and Microsoft applications ...

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Engineering Data Analyst information

What is an engineering data analyst?

An Engineering Data Analyst is a professional who uses data analysis techniques to support engineering projects and decision-making. They collect, clean, and interpret large sets of engineering data, often using specialized software tools. Their work helps identify trends, optimize processes, and improve the efficiency and quality of engineering solutions. They often collaborate with engineers and project managers to turn data insights into actionable recommendations.

What are the key skills and qualifications needed to thrive as an engineering data analyst?

To thrive as an Engineering Data Analyst, you need strong analytical skills, proficiency in mathematics and statistics, and a background in engineering or a related quantitative field. Familiarity with data analysis tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI, along with relevant certifications, is often required. Attention to detail, problem-solving ability, and effective communication help you interpret data and translate findings for technical and non-technical stakeholders. These skills are crucial for transforming complex engineering data into actionable insights that drive process improvements and innovation.

What are some common challenges faced by engineering data analysts when working with cross-functional teams?

Engineering Data Analysts often collaborate with teams such as software engineers, project managers, and product designers. A common challenge is bridging the gap between complex analytical findings and actionable insights for non-technical colleagues. Clear communication and the ability to translate data into practical recommendations are essential. Additionally, managing multiple priorities and ensuring data integrity across various sources can be demanding but is crucial for successful project outcomes.
Infographic showing various Engineering Data Analyst job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Analyst

Lake Forest, IL โ€ข On-site

Spruce Infotech
IT Servicesย โ€ขย 1 - 10 employees

Contractor

This job post hasย expired today.ย Applications are no longer accepted.


Job description

We are seeking a detail-oriented Data Analyst with strong experience in data mapping, data analysis, and data transformation. The ideal candidate will work closely with business stakeholders, data engineers, and application teams to analyze source and target data structures, define mapping requirements, and ensure accurate data migration and integration across systems.
Key Responsibilities
  • Gather, analyze, and document business and data requirements.
  • Perform source-to-target data mapping for data migration, integration, and reporting projects.
  • Analyze complex datasets to identify data quality issues, inconsistencies, and transformation requirements.
  • Create and maintain mapping documents, data dictionaries, and metadata repositories.
  • Work with business users to understand data elements, relationships, and business rules.
  • Validate data mappings and transformation logic through testing and reconciliation activities.
  • Collaborate with ETL developers, Data Engineers, and QA teams to ensure accurate implementation of mappings.
  • Conduct data profiling and data quality assessments.
  • Support data governance initiatives by documenting data lineage and business definitions.
  • Prepare reports, dashboards, and analytical insights as required.
Required Skills
  • 5+ years of experience as a Data Analyst.
  • Strong experience in Data Mapping and Source-to-Target Mapping (STM).
  • Proficiency in SQL for data analysis and validation.
  • Experience with data migration, data integration, and ETL processes.
  • Strong understanding of relational databases and data models.
  • Experience with data profiling and data quality analysis.
  • Ability to create detailed mapping specifications and functional documentation.
  • Excellent analytical, problem-solving, and communication skills.
Preferred Skills
  • Experience with ETL tools such as Informatica, Talend, SSIS, or DataStage.
  • Knowledge of cloud data platforms (AWS, Azure, or GCP).
  • Experience with BI tools such as Power BI, Tableau, or Looker.
  • Familiarity with data governance and master data management concepts.
Education
  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field.