Analytics Engineer

Archer Daniels MidlandDecatur, IL
1dOnsite

About The Position

As a key member of Manufacturing Analytics and Transformation (MA&T), you will be uniquely positioned to help deliver analytics-driven solutions directly to the process. You will work closely with plant operations and plant leadership while also collaborating with other MA&T colleagues as well as Carbohydrates BU Leadership. A Segment Analytics Engineer must be an exceptional communicator and collaborator as they work with various teams in plant engineering, plant management, BU leadership, and various automation and technology teams. They should have extensive knowledge of a variety of process unit operations and a willingness to continue developing further process knowledge required to guide optimization of manufacturing processes. A successful Segment Analytics Engineer must be able to express this knowledge in a clear and concise manner, tailored to their audience, in order to gain and maintain support for the team’s projects while influencing plant actions.

Requirements

  • 5+ years of engineering experience within a manufacturing facility.
  • 2+ years of relevant analytical experience.
  • Strong skills in Office and Microsoft Apps.
  • Experience with the PI Suite.
  • Experience with JMP and JMP Live.
  • Strong interpersonal collaboration skills.
  • Ability to effectively communicate technical concepts.
  • Excellent technical design skills.
  • Experience supporting plant operations and 24/7 operating requirements.
  • Knowledge of programming methods and languages.
  • 4-year degree in a relevant engineering or related field, or equivalent work experience
  • A desire to learn and advance into higher levels of process automation or analytics engineering.

Nice To Haves

  • Knowledge of Power BI
  • Knowledge of Power Automate
  • Knowledge of Aspen DMC Plus
  • Knowledge of Aspen Pro MV
  • Knowledge of Aspen Plus, HYSIS, and Dynamics
  • Knowledge of git, Git Hub, DevOps
  • Knowledge of Process Automation systems, including Rockwell, Emerson, DeltaV or Valmet (Novatech) D/3.

Responsibilities

  • Familiarize yourself with the processes, individuals, challenges, and opportunities from each plant in the segment. Stay engaged and informed so that you can best contribute to their success.
  • Provide timely troubleshooting for process issues.
  • Develop and build dashboards using tools like PI Vision, JMP Live, or Power BI. Provide editing and support for those dashboards.
  • Build analytical models for the purpose of predicting, explaining, and troubleshooting the process.
  • Create control charts (univariate and multivariate) to more quickly detect anomalies requiring a response.
  • Identify process control improvement opportunities and develop process control strategies (basic and advanced) for various unit operations.
  • Identify gaps in process measurements and recommend/implement technology solutions (wireless, microwave, NIR, soft sensors, etc.).
  • Tune systems of PID control loops.
  • Discover and evaluate opportunities for impactful analytics projects.
  • Manage analytics projects to completion.
  • Build Advanced Process Control controllers and drive % utilization with operations.
  • Complete necessary tasks utilizing PI Asset Framework, including calculations, tag creation, template building, etc.
  • Help develop digital SMS and provide ongoing support.
  • Train others on methods and tools.
  • Serve as the first point of contact for technical support on tools like JMP and PI, as well as other technical questions.
  • Contribute insight to projects, initiatives, and decisions by bringing an analytical or data-driven view of the process.
  • Carry out continuous personal development. Ensure technical skills and process knowledge are kept up to date, and non-technical skills are gained and improved.
  • Provide “boots-on-the-ground” support for ADM plants—physically officing within an ADM plant. Some travel and on-call work are expected as part of this position.
  • Complete the Manufacturing Analytics Training with Lean Six Sigma course if not already done. Other training requirements will be determined by performing a skills analysis and identifying gaps.

Benefits

  • In addition to competitive pay, we support your diverse needs with a comprehensive total rewards package to enhance your well-being, including:
  • Physical wellness – medical/Rx, dental, vision and on-site wellness center access or gym reimbursement (as applicable).
  • Financial wellness – flexible spending accounts, health savings account, 401(k) with matching contributions and cash balance plan, discounted employee stock purchasing program, life insurance, disability, workers’ compensation, legal assistance, identity theft protection.
  • Mental and social wellness – Employee Assistance Program (EAP), Employee Resource Groups (ERGs) and Colleague Giving Programs (ADM Cares).
  • Additional benefits include:
  • Paid time off including paid holidays.
  • Adoption assistance and paid maternity and parental leave.
  • Tuition assistance.
  • Company-sponsored training and development resources, such as LinkedIn Learning, language training and mentoring programs.
  • Benefits may vary for bargained locations, confirm benefit eligibility with your recruiter.
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