Data Analytics Engineer
il y a 2 semaines
We are looking for you as Data Analytics Engineer (DAE, gn) to join our team at our headquarters in Hasselt, Belgium. The position is available on a full-time basis at the earliest possible starting date.
As a DAE, you will combine your deep knowledge of our process data analytics platform with a general understanding of process industry to functionally support our customers.
As part of the Customer Success team within TrendMiner, the DAE position is a highly customer-facing role, where you will have the chance to interact with industrial process experts from around the world, and across a wide variety of industries (Chemicals, Food & Beverage, Petrochemicals, Oil & Gas, Discrete Manufacturing, …). Our mission is to ensure our customers get a high return on investment from obtaining and using the TrendMiner platform.
Most interactions with our customers will take the form of remote sessions, but occasionally (up to 25% overall) you will need to travel to interact with our users face-to-face. This can range from day trips to international travel. These on-site meetings are planned in consultation with the DAE and respect for work-life balance.
In return, we offer you- Competitive salary
- Company car or mobility budget
- Free to work from home 60% of the time
- Flexible working hours
- Meal and eco vouchers
- Hospitalization and group insurance
- Macbook Pro
- Through an affinity with technology and special interest in data analytics, you quickly gain a deep understanding of our platform to serve as an internal and external functional expert.
- You will work on data analytics use cases together with our customers. Using your general understanding of process industry, you can efficiently work together with process experts on the customer side to achieve the desired outcome using TrendMiner. During this process, you take special care to transfer part of your TrendMiner knowledge onto the customer, making the more self-sufficient. Furthermore, you bring home the knowledge on high-value use cases, which serve as input for further product improvements or marketing campaigns.
- You learn to implement custom solutions on top of TrendMiner using Python for those high value use cases which require a high degree of customization or automation. Here, you excel at translating the customer need into a functional requirement.
- You provide introductory trainings to groups of new TrendMiner users, and can train people assigned on the customer side to become TrendMiner trainers within their organization.
- Your intimate knowledge of how customers use TrendMiner to achieve value enables you to serve as the voice of the customer within our company, helping direct further product development.
- You learn to implement custom solutions on top of TrendMiner using Python for those high value use cases which require a high degree of customization or automation. Here, you excel at translating the customer need into a functional requirement.
- Minimal level of education M.Sc. in relevant Engineering discipline (Chemical Engineering, Process Technology, Mechanical Engineering, Biotechnology, …)
- Experience with analytics, preferably in process industry
- Experience with Python for scripting and data analytics
- Good verbal and written communication skills
- Fluent in English
- Beneficial: fluent in French, German, or Dutch
- Proactive and independent worker
TrendMiner is an innovative software company based in Hasselt, Belgium, specializing in industrial analytics. We focus on time series, event and asset data with an increasing integration of machine learning. Founded in 2008 as a spin-off from the University of Leuven, we develop advanced analytics solutions for the manufacturing industry, including the chemical, oil, gas and pharmaceutical industries. Since 2024 TrendMiner is part of the Proemion Group, which specializes in industrial analytics. Due to our rapid growth, we are always looking for ambitious and enthusiastic new talents.
TrendMiner is an equal opportunity employer. All applicants will be considered for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, or disability status.
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