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Predictive Diagnostics Data Analyst

EDP Renewables

This is a Full-time position in Houston, TX posted August 23, 2021.

The Predictive Diagnostics Data Analyst will support EDPR’s global fleet of generating assets in North America, Europe and South America. Your primary responsibilities are to develop and maintain new/existing tools, techniques and indicators to detect potential future failures in wind turbines, solar plant components, or other electrical/mechanical systems and components using condition monitoring and data analytics. In addition, you will be responsible for development and maintenance of internal and external data and automation-related processes for the team.

  • Develop new tools, techniques and indicators using available SCADA/condition monitoring data to predict future equipment failures by utilizing statistical analysis, anomaly detection and/or advanced techniques such as machine learning.
  • Maintain and improve existing tools and techniques that are in use to predict future equipment failures.
  • Develop and optimize data related processes within the team to improve efficiency of team activities.
  • Maintain and troubleshoot existing data and automation related processes within the team as needed
  • Manage integration of new data streams to existing processes and tools
  • Manage related data science projects with external vendors
  • Work closely with other members of the Performance Management department, IT, SCADA and corporate reporting teams to address any data and process related issues.
  • Work as part of a global team, supporting and leading initiatives that enhance the group’s capabilities and performance
  • Support creation of reports and dashboards related to team’s activities.
  • Stay current with new data science and machine learning tools and techniques.
  • Additional duties as required

Direct reports: None

Travel: Upto 10%

Qualifications:

  • Bachelor’s/Master’s degree in Engineering, Data Science, or related field and 1– 3 years of relevant technical experience
  • Proficient knowledge of Microsoft Office software
  • Familiarity with Python or R software required
  • Familiarity with SQL required
  • Experience with big data analytics and cloud computing is highly desirable (specifically Microsoft Azure Data Factory, Databricks & Azure Synapse)
  • Demonstrated programming skills with software applications, databases, and historians that contain large time-series based data sets.
  • Experience with machine learning algorithms, techniques and implementation highly desirable with knowledge in building scalable models.
  • Experience with SAP or other work order management systems preferred
  • Experience with PowerBI or Tableau preferred.
  • Familiarity with wind turbine components, PV plants and other power generation equipment and experience with associated SCADA and maintenance datasets preferred.
  • Competency in Analytical Problem Solving, Strong Communication, Customer/Partner Relationships, and Technology Expertise. (Preferred).

Behavioral requirements:

  • Ability to multi-task and be self-motivated
  • Strong interest in data science, machine learning and/or automation processes and driven to keep up with the latest developments in related field
  • Ability to perform job tasks in a collaborative working environment
  • High attention to detail and strong problem-solving ability
  • Strong written and verbal communication skills
  • Demonstrated interpersonal and teamwork skills
  • Strong time-management skills including demonstrated ability to provide technical support for multiple concurrent activities
  • Ability to comprehend and apply a variety of subjects relating to wind and solar energy, including meteorology, aerodynamics, and electrical and mechanical systems
  • Exemplary standards of integrity, ethics, safety, quality, and productivity
  • Ability to operate a motor vehicle, including possession of a valid driver’s license

Physical demands & working conditions:

  • Sitting/Standing/Flexibility: Ability to stand and sit for 8 or more hours when in an office environment.
  • Speech/Reading: Ability to speak, read, and write English proficiently and deliver a variety of instructions furnished in written, verbal, diagram, or schedule form.
  • Lifting: Ability to lift items weighing up to 10 pounds
  • Vision/Hearing: Ability to understand a variety of instructions furnished in written, verbal, diagram, or schedule form.
  • Safety: Ability to understand and communicate safety precautions when necessary

Qualifications

Education

Required

Bachelors or better.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)

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