Data Intelligence and Analytics Engineer

Excel Engineering • Mounds View, MN

1d • $80,000 - $120,000

About The Position

Excel Engineering is seeking a team-oriented, highly motivated Data Intelligence and Analytics Engineer for our Mounds View, Minnesota office. We offer full-service Engineering Consulting services in the US and abroad. Since 1990, Excel Engineering has differentiated its services from that of its competition by providing engineering solutions to achieve our clients’ business objectives. This role is a critical contributor to our Pharma 4.0 vision—where data integrity, contextualization, and real-time insights drive smarter, faster, and more compliant operations. As a Data Intelligence and Analytics Engineer, you’ll be at the forefront of digital transformation for our clients.

Requirements

• Bachelors or Masters’ Degree in Chemical, Mechanical, Electrical, Computer, or System Engineering from an ABET Accredited Institution.
• Cumulative GPA of 3.0 or higher on a 4.0 Scale.
• 3+ years design and configuration experience with a real time data solution technology in AVEVA PI, AVEVA, AspenTech, Canary, or similar technologies.
• Creation/modification of PI tags
• PI AF Element templates and AF Elements
• PI based dashboards (PI Vision/Process Book)
• PI AF Analytics, PI Notifications and PI Event Frames
• PI Interfaces: OPC DA/UA, RDBMS, FactoryTalk Batch, PI to PI
• PI Software Development Kit, PI Asset Framework Software Development Kit
• Ability to write and speak in the English language.
• Willingness to travel up to 10% of the time.
• Excellent interpersonal skills, as well as verbal and written communications.
• Ability to work collaboratively with individuals at all levels in the organization in a team environment.
• Knowledge of relevant technical software.
• Knowledge of MS Office software products: Word/Excel/Outlook.

Nice To Haves

• Exposure to PLC logic, HMI interface logic, system communications, elementary diagrams, control panel layouts or instrument specifications is preferred.
• Interest and experience with computer programming are highly preferred.
• Engineer in Training (EIT) registration or ability to obtain such is highly preferred.

Responsibilities

• Design and implement AVEVA PI solutions that support GMP-compliant data collection, contextualization, and reporting across manufacturing, utilities, and lab environments
• Configure PI Asset Framework (AF) to model pharma-specific assets such as reactors, cleanrooms, HVAC systems, and water systems, enabling batch traceability and deviation analysis
• Design and implement PI Interfaces and PI Connectors for seamless integration with PLCs, DCSs, SCADA systems, SQL Databases, and other industrial data sources
• Configure PI Data Archive for optimal performance, including tuning compression settings, exception filters, and archive management
• Build and deploy PI Vision dashboards to support operations, maintenance, and executive decision-making
• Implement analytics using PI AF Analysis and Notifications to automate insights and trigger alerts based on process conditions
• Apply security best practices for PI System architecture, including user access control, data integrity, and network segmentation
• Support 21 CFR Part 11 and Annex 11 compliance by configuring audit trails, electronic signatures, and secure access controls within the PI System
• Conduct system health checks, performance tuning, and troubleshooting of PI System components to ensure high availability and reliability
• Integrate PI System with MES, LIMS, and ERP platforms to enable end-to-end visibility of production, quality, and supply chain data
• Support data governance initiatives by documenting tag naming conventions, metadata standards, and historian retention policies
• Collaborate with QA and validation teams to support CSV (Computer System Validation) efforts, including URS, IQ/OQ/PQ documentation for PI deployment

Benefits

• We offer a competitive salary and benefits package.
• Excel Engineering is focused on cultivating a high performing culture where a service oriented approach, continuous improvement and goal orientation are valued.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 101-250 employees