Hybrid Data Management & Analytics Consultant presso Pufffer-Sweiven

Company Description:

For over 75 years, Pufffer-Sweiven has set the standard for process control, automation, safety, and reliability equipment and service.  We help process-intensive facilities run more efficiently and safely by delivering quality products, technical support, and knowledgeable staff, all with the goal of exceeding customer expectations. 

Duties and Responsibilities:

Solution Design & Implementation:

• Collaborate with account managers and business development teams to assess customer needs and define appropriate data and analytics solutions.
• Lead implementation, configuration, and commissioning of software platforms such as Emerson’s Asset Performance Management (APM), AspenTech’s IP.21/Inmation, AVEVA PI System, and SEEQ.
• Ensure successful deployment of solutions including integration with customer OT/IT infrastructure and appropriate access controls.

Data Analytics & Visualization:

• Analyze large data lakes to identify trends, anomalies, and performance improvement opportunities.
• Develop dashboards, reports, and visualizations using PI-AF, SEEQ, or other tools to provide operational insight and business value.
• Build and validate models that generate actionable recommendations and KPIs.

Customer Engagement & Technical Leadership:

• Serve as a trusted advisor by leading discussions around Master Data Management (MDM), asset hierarchies (AF), data contextualization and data governance.
• Conduct Digital Transformation and Asset Analytics workshops with customers to define use cases and quantify return on investment (ROI).
• Act as a technical resource for proposals, solution architecture, and pre-sales activities.

Knowledge Sharing & Continuous Improvement:

• Collaborate across teams to share best practices and repeatable solutions.
• Provide technical training, demonstrations, and documentation to customers and internal stakeholders.
• Monitor industry trends and emerging technologies to recommend improvements to our solution portfolio.

QUALIFICATIONS:

Education and Experience

• Bachelor’s degree in Engineering, Computer Science, Data Science, or a related field; equivalent experience may be considered.
• 5+ years of experience in data management, analytics, or industrial automation environments.
• Strong hands-on experience with AVEVA PI System, PI-AF, Aspen IP.21, Inmation, and SEEQ.
• Demonstrated ability to work with large industrial data sets and provide clear, actionable insight.
• Excellent communication and interpersonal skills, with the ability to lead technical conversations with customers.
• Familiarity with manufacturing process optimization, asset performance and reliability concepts in process industries is a plus.

Skills and Competencies

• Knowledge of Emerson and AspenTech software suite
• Strong understanding of data architecture and industrial integration (PLC/DCS, SCADA, Historians, SQL, APIs)
• Understanding of OT/IT integration concepts
• Familiarity with database technologies (SQL, NoSQL), scripting languages (Python, PowerShell, Lua), and data visualization tools (Power BI, Tableau, Grafana)
• Project management or consulting experience is a plus

CORE SKILLS/COMPETENCIES:

• Candidate should be very good at abstract reasoning, data mining, and data analytics.
• Candidate should be a team player with a passion for continual learning and demonstrated ability to work in a changing environment.
• Be customer-centric while maintaining a balance with business unit requirements.
• Ability to manage and meet client expectations.
• Strong supporter of the organization’s goals and objectives.
• Must have extensive Microsoft Office (Excel, Word, etc.) experience.
• Ability to work independently or in a collaborative team environment.
• Excellent communication, presentation, and customer service skills.
• Willingness and experience working in a manufacturing environment is a must.