Collaboration with cross-functional teams in manufacturing, Engineering ops, Marketing & sales involves translating business needs into technical solutions and providing data-driven recommendations for process improvements and cost reductions.
This role supports the integration and optimization of cloud-based data platforms, collaborates with cross-functional teams to define data requirements, and ensures data quality and governance standards are met.
The analyst also plays a key role in promoting analytics self-service, supporting tool adoption, and contributing to the ongoing evolution of the enterprise analytics ecosystem.
Additional duties include leading advanced analytics projects with machine learning and AI for tasks like predictive maintenance, maintaining data quality and compliance, mentoring junior analysts, and monitoring KPIs to present insights to leadership.
Minimum Job Requirements
Education
Bachelor's degree in Data Science, Computer Science, Industrial Engineering, Statistics, or a related field.
Work Experience
5+ years in data analytics, with at least 3 years in a senior or lead role.
Knowledge / Skills / Abilities
Proficiency in SQL, Python, R, or similar languages for data manipulation and analysis.
Expertise in analytics platforms and tools (e.g., Power BI, AWS/GCP/Azure cloud services, Databricks).
Knowledge of data lakehouse and warehousing architectures, ETL processes, data management practices.
Experience with statistical modeling, machine learning frameworks (e.g., scikit-learn, TensorFlow), and visualization techniques.
Problem-solving abilities, communication skills for presenting data to non-technical audiences, and ability to work in teams.
Preferred Job Requirements
Education
Master’s degree in Data Science, Computer Science, Industrial Engineering, Statistics, or a related field.
Certification / License
Certification in data analytics or platforms (e.g., Google Data Analytics, Microsoft Certified: Azure Data Engineer, Optimizely, Amplitude, etc.).
Experience with IoT data from industrial equipment or SAP, Salesforce, Windchill, etc.
Familiarity with lean manufacturing principles or Six Sigma methodologies.
Record of implementing analytics solutions with business impacts, such as cost savings or efficiency gains.
Work Experience
Experience in manufacturing, consumer goods, or industrial sectors.
Familiarity with lean manufacturing principles or Six Sigma methodologies.
Record of implementing analytics solutions with business impacts, such as cost savings or efficiency gains.
Physical Demands: While performing the duties of this job, the employee is regularly required to talk and hear; and use hands to manipulate objects or controls. The employee is regularly required to stand and walk. On occasion the incumbent may be required to stoop, bend or reach above the shoulders. The employee must occasionally lift up to 25 - 50 pounds. Specific conditions of this job are typical of frequent and continuous computer-based work requiring periods of sitting, close vision and ability to adjust focus. Occasional travel.
“We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law.”
