Operations Data Analyst

About the role

The individual will achieve this by driving technology adoption and data-oriented decision-making specifically throughout Beusa’s Field Operations.

Responsibilities

• Work closely with Field Operations, Engineering, and Asset Integrity teams to drive technology in accordance with Beusa’s Digital Culture.
• Identify existing gaps and/or new opportunities to optimize overall data strategy or the efficacy of said strategy, specific to Field Operations.
• Manage and support the implementation and execution of EVO’s Vibration Monitoring Strategy.
• Understand Beusa’s current technology stack and recognize ways in which we can bring data, insights, and information closer to our decision points.
• Work with a multi-disciplined team to gather requirements and execute current and future technology projects.
• Facilitate data analytics with specific, immediate impact to operations, including, but not limited to, equipment performance, fleet move analytics, and efficiency metrics.
• Aid in the continuous development and implementation of Beusa’s overall data strategy, particularly in deploying emerging technologies to fleet operations.
• Educate current and potential stakeholders on the technology stack, driving data literacy and continued Digital Culture adoption.
• Be an internal and external advocate for Beusa’s Digital Culture.
• Assist with troubleshooting Digital Platform issues, data questions, etc.
• Be flexible, able to grow and evolve in and with this role as business and/or customer needs change.

Requirements

• Successfully passes all applicable general pre-employment testing including but not limited to: background check, pre-employment drug screening, pre-employment fit tests, pre-employment aptitude and/or competency assessment(s).
• Proficiency in the spoken English language.
• In-person, predictable attendance.

Qualifications, Skills, Competencies, and Abilities

• Ability to learn rapidly and work effectively with many technologies and groups of people.
• Excellent written and verbal communication skills.
• Ability to accurately and effectively explain often complex technical principles to business users and customers.
• Ability to create strategic plans, gather stakeholder buy-in, and execute successfully.
• Training skills – comfortable establishing training curriculum/documentation and delivering to stakeholders.
• Strategic, critical, yet creative thinker with a passion for improving the business through data.
• Capable of identifying gaps and opportunities for ongoing development and implementation of Evolution’s Digital Strategy.
• Individual possesses some existing technical skills or demonstrates an eagerness to grow in this area: Standardized data capture principles, Data visualization in tools such as Power BI, Canary Axiom, Iconics/Komodo, ifm Moneo, Analytics and delivering data insight.
• Capable of managing a variety of projects simultaneously.
• Proficient in understanding, interpreting, analyzing, and training on data sets.

Physical Requirements/Work Environment

• Frequently required to walk, sit, climb, bend, reach, and squat/kneel.
• The Optimization Analyst works primarily indoors and will be sitting for prolonged periods of sitting at a desk and working on a computer.
• Must be able to access and navigate each department at the organization’s facilities.
• The Optimization Analyst may be required to lift heavy objects; therefore, the Optimization Analyst must be able to lift 25lbs.
• Work hours may include early morning, late afternoon/evening hours, and weekends in combination, depending on job demands.