5-7 years of experience in data analytics and statistical modeling
Proficiency with data analysis tools such as Seeq and DataPARC
Strong understanding of predictive modeling and anomaly detection
Experience with BI development and dashboard reporting
Ability to conduct training sessions and transfer knowledge
Responsibilities
Build and deploy manufacturing statistical and predictive models
Research plant issues and develop predictive insights for safety
Become the in-house expert on analytics tools and data use cases
Collaborate with business teams to uncover and develop analytics use cases
Lead development of reports and dashboards that reflect business value
Drive adoption of data integrity practices across the organization
Automate core data functions and improve data quality processes
Benefits
Professional development opportunities through training
Collaboration across multiple departments
Exposure to cutting-edge data analytics technologies
Supportive and flexible work environment
Participation in innovative projects aligned with DX goals
Full Job Description
ESSENTIAL DUTIES & RESPONSIBILITEIS
Analytics and Reporting
Build and deploy process manufacturing statistical and predictive models. Conduct data exploration to identify areas of opportunity or risk. Provide data investigation, and consultation on how data quality, integrity and/or controls can be improved. Discover trends, draw conclusions and provide actionable insights.
Research and analyze plant issues and build anomaly detection solutions to provide predictive insights to end users to ensure process safety and safe plant operations.
This position shall work along with Seeq, DataPARC and other programs and eventually expectation is he/she shall become site in-house expert, identify new use cases and programming the use cases and expanding the use of real-time data use and multivariate models (so-called Artificial Intelligence) in manufacturing.
Determine value case for potentially seldom used, or lightly used, data streams and advance the use case for these data sources via proof-of-concept projects in line with DX goals and plans. This position will work closely with the DX Technical Project Manager in developing the roadmap for data management practices around data acquisition.
This position will engage with Business / Production teams to identify, analyze and propose value driven use cases and have the use cases built on the Analytics platform.
Provide the trainings regarding data analytics technologies for technicians, researchers and engineers in general or in specific areas as required.
Standards
Lead BI development to provide stable, high quality, and rapid delivery of reports and dashboards that provide business value. Work cross-organizationally to ensure data solutions are secure, efficient, and in alignment with DX Enterprise Standards.
Ensure a professional and smooth integration of the added value of analytics into successful operations
Consultation
Work cross-organizationally to drive adoption of analytics tools and improved data integrity. Ensure DX solutions have sound data management practices. Provide subject matter expertise and consultation on data aspects of new and/or changing DX solutions.
Transfer knowledge to the stakeholders with respect to improvement results and the way the improvement is achieved
Support teamwork, development and use of data and dashboards in support of business decisions.
Identify, analyze, prioritize and implement improvement opportunities based on their value to the organization
Capability Maturity
Champion data solutions to enhance value and fill gaps. Automate and continuously improve core data functions such as collection, extraction, transformation, quality validation, and control. Collaborate with business stakeholders to ensure sound data and BI capabilities as well as understanding of the importance of quality data.
Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Help form data management and governance processes within the data engineering team. Other duties as assigned.
Must demonstrate the following emotional intelligence skills:
