Data Analyst

Sterling Engineering

Waukegan (IL)

On-site

USD 110,000 - 160,000

Full time

33 hours ago
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Benefits offered by this job

Paid Time Off
Paid Holidays
3 Medical plans to choose from
Dental & Vision plans
401(k) with a match
Employee Stock Ownership (ESOP) plan

Job summary

Sterling Engineering is seeking a hands-on Data Analyst with 10+ years of U.S. experience to develop dashboards, analyze operational data, and provide actionable insights to senior leadership. The role requires a manufacturing background and 100% onsite work in Waukegan, IL.

The position focuses on building Power BI dashboards, writing SQL queries, and transforming large datasets. You will partner with stakeholders to drive continuous improvement on the shop floor and across operations.

Qualifications

  • Proven data analysis experience in manufacturing environments.
  • Must have MES experience in a manufacturing setting.
  • Advanced Microsoft Excel skills.
  • Data cleansing, transformation, validation and analysis.
  • KPI and dashboard development and reporting.
  • Experience combining data from multiple systems/sources.
  • Strong analytical and root-cause problem-solving skills.
  • Experience gathering requirements directly from business stakeholders.
  • Ability to work 100% onsite in Waukegan, IL.

Responsibilities

  • Build and maintain Power BI dashboards and KPI reporting.
  • Write SQL queries to extract and analyze data.
  • Clean, transform, validate, and reconcile large datasets.
  • Identify trends, performance gaps, and root causes.
  • Automate recurring reporting and improve existing dashboards.
  • Translate business needs into reporting and analytics solutions.
  • Present findings to business and operations leadership.
  • Support operational performance and continuous improvement initiatives.

Skills

Data analysis
SQL queries
KPI/dashboard development
Root-cause analysis
Stakeholder requirements gathering
Onsite work
Manufacturing analytics

Tools

MES
Power BI
Excel
SQL

Job description

Position: Data Analyst – Power BI & SQL & MES

Duration: 36-Month Contract

This is NOT open for sponsorship or 3rd party representation.

Local candidates are preferred, must be onsite.

I am looking for a hands‑on Data Analyst with 10+ years U.S. professional experience to develop dashboards, analyze operational data, and provide actionable insights to business and operations leadership. Must come from a Manufacturing background.

QUALIFICATIONS
  • SQL – ability to write queries and analyze data
  • Must come from a manufacturing background with experience with MES (Manufacturing Execution System)
  • Advanced Microsoft Excel
  • Data cleansing, transformation, validation, and analysis
  • KPI/dashboard development and reporting
  • Experience combining data from multiple systems/sources
  • Strong analytical and root-cause problem-solving skills
  • Experience gathering requirements directly from business stakeholders
  • Ability to work 100% onsite in Waukegan, IL
In this role you will
  • Build and maintain Power BI dashboards and KPI reporting
  • Write SQL queries to extract and analyze data
  • Clean, transform, validate, and reconcile large datasets
  • Identify trends, performance gaps, and root causes
  • Automate recurring reporting and improve existing dashboards
  • Translate business needs into reporting and analytics solutions
  • Present findings to business and operations leadership
  • Support operational performance and continuous improvement initiatives
Preferred skills

SAP, MES, Tableau, Qlik Sense, Power Apps, manufacturing analytics, supply chain analytics, pharmaceutical experience, Lean/Six Sigma, or Operational Excellence.

About us…Sterling Engineering, in business for 57 years …we offer FULL BENEFITS!
  • Paid Time Off
  • Paid Holidays
  • 3 Medical plans to choose from
  • Dental & Vision plans
  • 401(k) with a match
  • an Employee Stock Ownership (ESOP) plan

Qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information.

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