Process Analytics Engineer

Default Brand; Pasadena (TX); On-site; USD 70,000 - 90,000; Full time

Job summary

A leading manufacturing firm in Pasadena, Texas, is seeking a Data Analyst to enhance data integrity and analytics adoption across teams. The role involves building predictive models, analyzing data trends, and collaborating with various business units to implement value-driven use cases. Candidates should hold a Bachelor's degree in Engineering or a related field and have experience with analytics tools such as Python and Power BI. Proficiency in emotional intelligence is also required.

Qualifications

• 1+ years of data mining experience.
• 3+ years of experience as an Analyst in an established organization.
• Strong knowledge of reporting packages and databases.

Responsibilities

• Build and deploy statistical and predictive models for process manufacturing.
• Analyze plant issues and create anomaly detection solutions.
• Engage with teams to identify and propose data-driven use cases.

Skills

Emotional Empathy

Flexibility / Adaptability

Interpersonal Skills

Education

Bachelor's degree in Engineering or related field

Tools

Seeq

DataParc

Python

Excel

Business Objects

Power BI

Job description

What you can expect

• Meaningful work that supports essential industries and products
• Opportunities to learn, grow, and expand your skills
• Collaboration across teams, functions, and regions
• A company that values quality, responsibility, and continuous improvement

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

• Emotional Empathy
• Flexibility / Adaptability
• Interpersonal Skills

Education

Bachelors or better in Engineering or related field.

Experience

• Software (Analytics tools such as Seeq), Historians (DataParc or OSI PI), Python or Similar)
• High-level experience in methodologies and processes for managing large scale databases.
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SAC, MATLAB, etc.)
• Strong knowledge of and experience with reporting packages (Business Objects, Power BI, etc.), databases (SQL, etc.), programming (R, Python, or ETL frameworks)
• Data mining experience (1 year)
• Experience Analyst in an established organization (3 years)

Required Skills

• Intermediate proficiency in MS PowerPoint.
• Intermediate proficiency in MS Word.
• Intermediate proficiency in MS Excel.
• Intermediate proficiency in MS Outlook.

Licenses & Certifications

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
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