Data Analyst at AHEAD

Libertyville, Illinois, United States

AHEAD Logo
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Digital TransformationIndustries

Requirements

  • Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, or a related field. Master’s degree is a plus
  • 5+ years of experience in data analytics, preferably in a manufacturing, quality, or technology environment
  • 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
  • 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
  • Experience working with manufacturing or quality systems (e.g., MES, QMS)
  • Knowledge of data governance frameworks and enterprise data strategy

Responsibilities

  • Advanced Data Analysis: Perform in-depth analysis to uncover trends, anomalies, and opportunities for process improvement across manufacturing, quality, and integration workflows
  • Visualization & Reporting: Design and maintain dashboards and reports that clearly communicate KPIs, operational metrics, and strategic insights to stakeholders at all levels
  • Cross-Functional Collaboration: Work closely with engineering, quality, operations, and enterprise analytics teams to understand data needs and deliver impactful solutions
  • Data Modeling & Forecasting: Build predictive models and statistical analyses to support proactive decision-making and continuous improvement initiatives
  • Data Quality & Governance: Ensure data accuracy, integrity, and compliance with internal standards and external regulations
  • Continuous Improvement: Stay current with emerging tools, technologies, and methodologies in data analytics and manufacturing intelligence
  • Data Strategy & Integration: Partner with AHEAD analytics teams to align data initiatives, ensure consistency in metrics, and support enterprise data governance
  • Other job duties as assigned

Skills

Data Analysis
Visualization
Dashboards
Reporting
KPIs
Operational Metrics

AHEAD

Digital transformation and cloud consulting services

About AHEAD

AHEAD specializes in digital transformation services, focusing on helping medium to large enterprises modernize their IT infrastructure. The company offers a range of services including cloud migration, automation, and infrastructure optimization, primarily using Microsoft Azure. AHEAD's products work by providing tailored consulting and managed services that guide clients through the complexities of digital transformation. What sets AHEAD apart from its competitors is its deep expertise in cloud solutions and a strong client-centric approach, which has been validated by achieving Gold Cloud Platform Competency with Azure. The company's goal is to empower organizations to take control of their digital transformation journeys and achieve sustainable success.

Chicago, IllinoisHeadquarters
2007Year Founded
BUYOUTCompany Stage
Consulting, Enterprise SoftwareIndustries
1,001-5,000Employees

Benefits

Health Insurance
401(k) Retirement Plan
Paid Vacation
Paid Sick Leave

Risks

Emerging cloud service providers offer similar services at lower costs.
Rapid technological advancements may outpace AHEAD's solution updates.
Economic downturns could reduce spending on digital transformation projects.

Differentiation

AHEAD specializes in digital transformation with a focus on cloud solutions.
The company achieved Gold Cloud Platform Competency with Microsoft Azure.
AHEAD offers tailored solutions for cloud migration and infrastructure optimization.

Upsides

Increased demand for hybrid cloud solutions aligns with AHEAD's expertise.
Growing interest in AI-driven IT operations presents new opportunities for AHEAD.
The rise of edge computing offers AHEAD opportunities in edge-to-cloud solutions.

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