Job Board
LogoLogo

Get Jobs Tailored to Your Resume

Filtr uses AI to scan 1000+ jobs and finds postings that perfectly matches your resume

AHEAD Logo

Data Analyst

AHEAD

Salary not specified
Nov 11, 2025
Libertyville, IL, United States of America
Apply Now

AHEAD is looking for a Data Analyst to transform data into actionable insights that drive operational excellence, quality improvements, and strategic decision-making, supporting operations and aligning with enterprise-wide data initiatives.

Requirements

  • Proficiency in SQL and data querying across relational databases.
  • Strong experience with data visualization tools (e.g., Power BI, Tableau).
  • Hands-on experience with Python, R, or similar for data manipulation and statistical modeling.
  • Familiarity with ETL processes, data warehousing, and cloud platforms (e.g., Azure, AWS).
  • Understanding of statistical methods, forecasting, and predictive modeling.
  • Experience working with manufacturing or quality systems (e.g., MES, QMS).
  • Knowledge of data governance frameworks and enterprise data strategy.

Responsibilities

  • Perform in-depth analysis to uncover trends, anomalies, and opportunities for process improvement across manufacturing, quality, and integration workflows.
  • Design and maintain dashboards and reports that clearly communicate KPIs, operational metrics, and strategic insights to stakeholders at all levels.
  • Build predictive models and statistical analyses to support proactive decision-making and continuous improvement initiatives.
  • Ensure data accuracy, integrity, and compliance with internal standards and external regulations.
  • Stay current with emerging tools, technologies, and methodologies in data analytics and manufacturing intelligence.
  • Partner with AHEAD analytics teams to align data initiatives, ensure consistency in metrics, and support enterprise data governance.
  • Other job duties as assigned

Other

  • 5+ years of experience in data analytics, preferably in a manufacturing, quality, or technology environment.
  • Strong analytical thinking and problem-solving abilities.
  • Excellent communication skills, with the ability to translate complex data into clear business insights.
  • Highly collaborative, with a proactive approach to cross-functional teamwork.
  • Detail-oriented, organized, and capable of managing multiple priorities.