Data Analytics Engineer (gn) - Talent Pool

TrendMiner

17h • Hybrid

About The Position

We are always interested in connecting with talented Data Analytics Engineers (gn) who want to help our customers get real value from process data. There's no open position for this role just yet - we're building a talent pool of qualified candidates so we can move quickly once hiring starts. We review applications on an ongoing basis and will reach out as soon as a matching opportunity opens up.

This role can be performed largely remotely, with regular travel to customer sites. We especially welcome candidates based near Hasselt (Belgium) or in regions with a strong concentration of our customers - including Barcelona (Spain), Cologne (Germany), and Houston (Texas) - with travel to an office for team moments and specific occasions.

Requirements

• Master's degree in a relevant engineering discipline - for example Chemical Engineering, Process Technology, Mechanical Engineering, Biotechnology, or similar - or equivalent professional experience
• Experience with analytics in the process industry
• Experience with Python for scripting and data analytics
• Professional fluency in English is required.
• Proactive, independent worker with strong verbal and written communication skills

Nice To Haves

• Additional proficiency in French, German, Dutch, or Spanish is highly valued.

Responsibilities

• Quickly build deep platform expertise to serve as an internal and external functional expert, driven by your affinity for technology and data analytics.
• Work on data analytics use cases alongside customers, collaborating with their process experts to achieve outcomes with TrendMiner - while transferring knowledge to make them more self-sufficient, and bringing high-value use cases back as input for product and marketing.
• Deliver introductory trainings to new user groups, and enable customer-side "train-the-trainer" champions.
• Act as the voice of the customer internally, helping shape further product development.
• Implement custom solutions on top of TrendMiner using Python for high-value use cases requiring customization or automation, translating customer needs into functional requirements.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level