Highly Motivated Data Analyst Sought for Energy Sector Project
This role offers a unique opportunity to work with cutting-edge predictive maintenance technologies designed to optimize the reliability and availability of critical industrial equipment.
As a Data Analyst, you will be an essential part of a multidisciplinary team contributing to the successful deployment and monitoring of predictive maintenance models.
Key Responsibilities:
* Analyze Industrial Process Diagrams: Screen process diagrams to identify necessary inputs for predictive maintenance models, requiring a strong understanding of industrial processes and basic mechanical/thermodynamic principles.
* Data Validation: Conduct initial checks of raw input data using tools like Seeq or Trendminer. Prior experience with these tools is advantageous.
* Model Configuration: Set up equipment models on the front-end interface.
* Result Validation: Verify the outcomes generated by predictive algorithms using platforms like Grafana or Seeq.
* Threshold Configuration: Fine-tune model deployments by setting thresholds for automatic alarm systems based on your findings from the data checks.
* Reporting & Communication: Generate detailed reports for stakeholders to share insights and findings on equipment performance.
* Post-Deployment Monitoring: Monitor equipment after deployment, investigating raised alarms and identifying whether they are true or false positives.
* Collaboration & Initiative: Take initiative and actively collaborate with the development team and technical experts to provide feedback, troubleshoot issues, and report any anomalies or bugs.
Requested Profile:
1. Education: Bachelor's degree in Mechanical Engineering (or similar) or a Data Analyst with industrial process experience.
2. Experience & Skills:
* Knowledge of industrial processes and environments.
* Strong interest in data analysis with an eagerness to learn and improve.
* Comfortable using tooling/software suites such as OSISoft/AVEVA PI, Seeq, and Grafana.
* A keen analytical mindset paired with a persevering attitude.
* Ability to work autonomously and address challenges proactively.
* Effective communication skills to interact with a diverse team.
This role provides valuable exposure to AI-powered predictive maintenance and large-scale data applications in the energy sector.