Data Analyst

Role Overview

Data Analyst Consultant specializing in industrial projects within the energy sector. You will work on data-driven initiatives to optimize plant operations, improve process efficiency, and support continuous improvement across multidisciplinary teams.

Responsibilities

• Collect and prepare data by extracting information from PLC, SCADA, and MES systems, ensuring data quality and integrity.
• Analyze and model operational data using descriptive, diagnostic, and predictive analytics to find trends, patterns, and anomalies.
• Build dashboards, KPIs, and reports to visualize insights for engineering and operations teams.
• Support continuous improvement by tracking KPIs such as OEE, yield, and downtime, and contributing to root cause analysis, Lean, and Six Sigma projects.
• Collaborate with engineers and operators to deploy analytics solutions, pilot tools, and integrate analytics into operational workflows.
• Maintain documentation of analytics processes, models, and findings, aligned with data governance and cybersecurity standards.

Qualifications

• Bachelor’s degree in Engineering, Data Science, Statistics, or related field.
• 4+ years of industrial analytics experience in manufacturing/production/operations environments.
• Proficiency in Python, R, and SQL.
• Data visualization experience with Power BI, Tableau, or Grafana.
• Strong statistical foundation including regression analysis, hypothesis testing, and forecasting.
• Excellent communication skills to work across technical and non-technical teams.

Nice to Have

• Master’s degree.
• Experience with IoT, cloud analytics, big data tools.
• Familiarity with Lean/Six Sigma.
• Experience with ERP or PLM systems.

Work Model & Benefits

• Hybrid/partial remote with flexible work location.
• Full-time employment with competitive salary, contract, flexible hours, training/mentoring, and annual performance bonuses.