Optimization Analyst

Optimization AnalystJob Description

Department: Data & AI Platforms                   

Job Status: Full-Time

FLSA Status: Salary-Exempt

Reports To: Digital Operations Supervisor

Location: The Woodlands, TX

Amount of Travel Required: 25%

Work Schedule: Monday - Friday, 8 a.m. – 5 p.m.                           

Positions Supervised: n/a

AIP: Level 7

POSITION SUMMARY:

Responsible for further enabling the success of Beusa’s Digital Culture within Company Operations. The individual will achieve this by driving technology adoption and data-oriented decision-making specifically throughout Beusa’s Field Operations.  This position will be responsible for identifying technology gaps and digital opportunities within the Operations organization and will work to address these areas in a variety of ways.  Individual will engage in training personnel on new and existing software, dashboards, applications, or best practices, and will lead process and/or workflow refinement or modification based on data analytics.  Additionally, the Optimization Data Analyst will partner directly with Beusa Customers to achieve mutually beneficial digital objectives.  

ESSENTIAL FUNCTIONS: (The following duties and responsibilities are all essential job functions, as defined by the ADA, except for those that begin with the word "may.")

• 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 

• This may include identification of new datasets, sensor installations, applications, software packages, or areas for automation.  It may also include creating or refining existing dashboards, creating/delivering training programs, and the integration of new data-driven processes, etc. 

• Manage and support the implementation and execution of EVO’s Vibration Monitoring Strategy 

• This includes the strategizing of new and existing fleet VMS deployments, model development, alarm strategy, system upkeep, and opportunities to expand vibration monitoring 

• Will be required to visit field locations regularly.  Frequent contact with field operations personnel will be critical to technology deployments, as well as the identification and management of gaps and opportunities.  It will also allow for the delivery of hands-on training, demonstrations, and support. 

• 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 

• Assist with 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.

• Perform other related duties as assigned to assist with successful operations and business continuity.

POSITION 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.
• Position requires in-person, predictable attendance.

EDUCATION/EXPERIENCE LEVEL:

• BA/BS Undergraduate degree in Engineering, Management Information Systems, Computer Science, or related technical field.  An equivalent combination of education, specialized training, and relevant professional experience may be considered in lieu of a formal degree.
• Minimum 3-5+ years’ experience in a field-focused engineering, technical, or analytics role, preferably in Oil & Gas.
  • Candidates with previous experience in the Pressure Pumping/Hydraulic Fracturing industry are highly preferred.
• Understanding of and comfort level with data, analytics, technology, reporting, and automation.  Must also understand how these digital cornerstones drive organizational value.
• Experience in one or more of the following (or similar) roles:
  • Engineer or Field Engineer
  • Technical Engineer
  • Business Intelligence
  • Data Analysis/Visualization
  • Data Management
  • Systems Analysis
  • Training Specialist
  • Sales

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   
• Ideally, an 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
• Ability to work within a cross-functional team environment.
• Must be able to understand often complex business requirements and effectively deliver upon them.
• Highly detail-oriented and strong work ethic with the ability take initiative, prioritize tasks, and execute on Evolution’s Data Strategy without continuous direction.  An individual needs to be self-motivated for success.
• Ability to manage a variety of projects simultaneously.
• Proficient in understanding, interpreting, analyzing, and training on data sets.

PHYSICAL REQUIREMENTS/WORK ENVIRONMENT:

The physical demands and work environment described here are representative of those that must be met by an employee to perform the essential functions of this job successfully. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

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.

AAP /EEO STATEMENT:

The Company is committed to the cause of equal employment opportunity for all employees and applicants, thus abiding by all applicable state and federal laws.  Our practices regarding employment, job promotion, compensation, training, and termination do not discriminate based on race, color, religious creed, age, sex, national origin, veteran's status, disability, pregnancy, genetic information, or any other legally protected status.  It is expected that all employees, both management and staff, will fully support these nondiscriminatory policies.

The company has reviewed this job description to ensure essential functions and duties have been included. It is not intended to be an exhaustive list of all functions, responsibilities, skills, and abilities.

Last Revised 01/2026.