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
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.
ESSENTIAL DUTIES AND RESPONSIBILITIES
This position can be based out of our Clear Lake/Houston, TX office or our Charlotte, NC office.
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
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
5or more years relevant experience
BSdegree 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.