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Manufacturing Data Analytics Engineer
Company: Albemarle
Location: Houston, TX
Employment Type: Full Time
Date Posted: 08/08/2022
Expire Date: 10/18/2022
Job Categories: Computers, Software, Engineering, Finance/Economics, Information Technology, Installation, Maintenance, and Repair, Manufacturing and Production, Other / General, Transportation, Broadcasting/Communications, Quality Control, Research & Development, Energy / Utilities
Job Description
Manufacturing Data Analytics Engineer

Are you inspired by “what’s next”? So are we.

When you join the Albemarle team, you contribute to a better tomorrow. You will play a role in powering many of the world’s largest and most critical industries, from energy and communications to transportation and electronics. We are putting innovation to work to improve people’s lives and we want YOU to be a part of it.

Job Description



  • This position can be based out of our Clear Lake/Houston, TX office or our Charlotte, NC office.

Project-Related Responsibilities

  • Assist in the implementation analytics software tools and developing standards process improvement.  Examples:
    • Organize data streams (tags) using Pi Asset Framework.
    • Utilize data from LIMS and other systems with process data
    • Use Pi Analytics to perform calculations from process data
    • Configure Pi Event Frames to capture and analyze data from both batch & continuous processes
    • Develop Pi Vision dashboards and process flow schematics
    • Configure SPC and SQC charts and dashboards
    • Utilize machine-learning algorithms to find hidden correlations and predict future results.
    • Configure automatic datasets using RDBMS technologies with SQL
  • Execute the project scope for assigned plant sites or production areas. This includes:
    • Analyzing the production process to identify critical aspects and opportunities for improvement.
    • Designing a software configuration that helps the operations team to better monitor the process. 
    • Developing plans for training and change management.
  • Create and manage existing documentation around standards, how-to-guides, etc
  • Develop the project business case:
    • Identify opportunities for improvement and potential solutions.
    • Estimate, measure, and track all potential financial benefits & ROI.
  • Supplement site improvement goals by being a “2nd set of eyes” across a wide variety of chemical processes.
    • Continually evaluate and improve effectiveness of current analytical methods and dashboards.
    • Identify and recommend additional improvement opportunities including creating additional analytical methods, recipe changes, DCS logic modification, procedure modifications, etc.
  • Facilitate frequent progress review meetings with sites
    • Discuss any recent process upsets or quality incidents,
    • Update status on project goals and objectives, action items, and change management strategy.
    • Review Actionboard interactions and acceptance
  • Supervise the configuration work performed by the integration contractor.
  • Conduct training of plant site staff including training on the software tools and using the tools for process improvement.
  • Commission the software tools at the plant site.
  • Lead the site operations teams through a first set of improvement projects using the DMAIC data-driven strategy and other Six Sigma improvement techniques.
  • Execute the change management strategy to ensure the improvements are sustainable at each site.  
    • Tools and training to allow the operator teams to run and troubleshoot daily production, while site leaders and engineers work on continuous improvement.
    • Develop communication material to share success stories across sites
    • Assist site engineers with the creation of supporting documentation such as chemical process troubleshooting guides, flow charts, decision trees, and standard operating procedures

Other Responsibilities

  • Assist with developing and delivering Process Optimization Academies that provide in depth training on data analytics, statistics, machine learning, and process optimization and improvement methods.  
  • Participate in the Manufacturing Data Analytics Community of Practice with members from all sites. 
  • Support the growth and development of future innovation opportunities around Industry 4.0 and data analytics including integration with SAP, robotics, drones, advanced automation, digital twins, cloud & edge technologies, etc


  • 5 or more years relevant experience
  • BS degree in engineering
  • Experience in Chemical Manufacturing, Oil & Gas, Refining, or Petrochemical industries
  • Previous manufacturing experience either as an Operations Engineer, Production Engineer, Process Technology Engineer, Maintenance Engineer, Process Control Engineer, or similar Manufacturing Engineering role
  • Experience applying PI System tools (or equivalent data historian), advanced analytics, and statistical techniques to monitor and improve production processes.
  • Experience interacting with and executing process improvements with the shop-floor (Operators)
  • Proven record of leveraging technology to lead continuous improvement programs – identifying opportunities, analyzing data, designing solutions, executing tangible improvements in the plant, and sustaining those improvements.
  • Experience with tracking KPI for production processes - OEE, MDC, Quality, raw material utilizations, yield, factory costs, and energy utilizations.
  • Experience with initiating Process Control & DCS Improvements – such as improvements to Batch Logic, PID Control Loop Tuning, and/or changes to general process control strategies.
  • Experience overcoming obstacles involving Change Management – including creating the awareness & desire for change, developing internal knowledge & capabilities, and reinforcing the change including resistance management, preventing backsliding, and reinforcements from leadership
  • Proven examples of innovation
  • Strong computer programming skills
  • Ability to manage multiple priorities.
  • Excellent written and oral communication and presentation skills
  • Ability to interact effectively at all levels in the organization
  • Strong Planning and organization skills
  • Independent operation and strong influencing ability
  • Up to 35% travel to Albemarle’s manufacturing locations around the world.
  • Ability to work non-standard hours (evenings/early mornings) to cover work in Asia Pacific time zones, up to 35%.  
  • Fluency in English


  • Experience with multiple Albemarle plant sites and businesses
  • Experience working in different cultures or countries
  • Six Sigma Green Belt or Black Belt or ability to obtain in 6 months
  • Along with Fluency in English, Fluency in Chinese
  • Experience with OSIsoft PI Asset Framework, PI Analytics, PI Vision, Event Frames
  • Experience with Northwest Analytics Quality Analyst & Focus EMI Software
  • Experience with Sartorius SIMCA Multivariate Software

Choose to unlock your full POTENTIAL. Apply today.

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