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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analytics, technical report preparation, and operational optimization within industrial process systems. Proficient in utilizing data visualization tools and collaborating with cross-functional teams to enhance performance across various engineering domains.
Highest-signal resume keywords
Data AnalyticsPython ProgrammingMicrosoft Excel ProficiencyProcess Diagram InterpretationField Support Activities
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisTrend AnalysisAnomaly DetectionFluid MechanicsPumping SystemsEnergy SystemsWastewater TreatmentDesalinationTechnical Documentation InterpretationData Pattern Recognition
Soft Skills
Strong Communication SkillsAnalytical Problem-SolvingProactive MindsetFlexibility and AdaptabilityCollaborative Approach
Tools & Technologies
DCS/SCADA SystemsData Visualization DashboardsTechnical Hardware/Software SolutionsUI/UX Design
Industry Keywords
Chemical EngineeringPetroleum EngineeringMechanical EngineeringIndustrial EngineeringOperational Data Systems
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Conduct research, data analytics, and prepare technical and performance reports
- Develop understanding of industrial process systems and operations, including fluid mechanics, pumping systems, energy systems, wastewater treatment, desalination, and process operations across chemical, petroleum, LNG, and refinery sites
- Analyze large operational datasets and apply data analytics and data-mining concepts to identify patterns, anomalies, and optimization opportunities
- Read and understand asset performance curves and equipment specifications
- Learn and implement technical hardware/software solutions for monitoring, analytics, and optimization
- Apply data pattern recognition techniques and energy optimization methodologies to support operational improvement initiatives
- Visualize data findings through dashboards, including UI/UX design
- Provide second-tier customer support for deployed analytics and optimization solutions
- Support customer engagement activities, including training sessions, software demonstrations, technical presentations, and additional support
- Perform field travel as needed for site surveys, equipment installation/commissioning, and field support activities
- Collaborate with distributed or cross-functional teams and manage multiple tasks and timelines
Requirements
What you’ll need- Master’s degree or Bachelor’s degree in Mechanical Engineering, Chemical Engineering, Petroleum Engineering, Electrical Engineering, or Industrial Engineering; other high-level science or mathematics-based degrees will also be considered
- Proficiency in Microsoft Excel for data analysis, including formulas, pivot tables, and charts
- Working knowledge of Python or a similar scripting language for data analysis
- Basic understanding of data analytics and statistics, including trend analysis and anomaly detection
- Ability to interpret process diagrams and technical documentation, including PFDs, P&IDs, and equipment data
- Exposure to industrial or operational data systems, such as historians and DCS/SCADA, preferred
- Strong written and verbal communication skills
- Ability to plan, organize, and prioritize work effectively across multiple tasks and timelines
- Analytical and creative problem-solving skills
- Proactive mindset with ability to take initiative and follow through on assignments
- Flexibility and adaptability in dynamic technical and operational environments
- Collaborative, team-oriented approach with a strong sense of accountability
- High motivation and interest in continuous learning and professional development
- Willingness to perform field travel as needed for site surveys, equipment installation/commissioning, and field support activities
Benefits
Comp & perks- On-the-job training and mentorship
- Professional growth and technical development opportunities
- Continuous learning and professional development
- Intermittent travel opportunities