Data Analytics Engineer

  • Airbus
  • 40476 Düsseldorf, Germany
  • 04/09/2021
Full time Data Science Data Engineering Data Analytics Big Data Data Management Statistics Software Engineering

Job Description

Supported by the Customer Success Manager*, our Product team and the Customer Success team you ensure a professional and smooth integration of the added value of analytics into successful operations at our customers using our own TrendMiner:

  • You support our customers in the use of TrendMiner as their prime analytics toolbox
  • Team up with process technologists and improvement teams to
  • Discover potential areas of improvement
  • Do data analysis to find the root-cause of identified issues
  • Suggest and implement analytics solutions
  • Support and train our customers in the use of TrendMiner
  • Support the sales process by giving demonstrations of TrendMiner
  • Collaborate with R&D and Product Development in defining requirements for new features for TrendMiner
  • Collaborate with Customer Success Manager and Operations Manager to find new business leads and opportunities
  • You transfer knowledge to the team with respect to improvement results and the way the improvement is achieved

WHAT YOU'LL DO

  • You support our customers in the use of TrendMiner as their prime analytics toolbox
  • Team up with process technologists and improvement teams to
    discover potential areas of improvement do data analysis to find the root-cause of identified issues suggest and implement analytics solutions support and train our customers in the use of TrendMiner
  • Support the sales process by giving demonstrations of TrendMiner
  • Collaborate with R&D and Product Development in defining requirements for new features for TrendMiner
  • Collaborate with Customer Success Manager* and Operations Manager* to find new business leads and opportunities
  • You transfer knowledge to the team with respect to improvement results and the way the improvement is achieved

WHAT YOU BRING ALONG

  • Minimal level of education MSc in Engineering (Chemical, Biotechnology, Mathematical, etc.)
  • Experience within the use of analytics, preferably in process industry
  • Knowledge of analytical tools (eg. Matlab, R, Python)
  • Strong affinity to software and data (analytics & processes)
  • Experience in process engineering is a plus
  • Business fluent in German and English
  • Excellent communication skills, customer focus and result oriented
  • Distinct social competencies working effectively in both, a team & remote environment
  • Willingness to travel to collaborate with customers abroad
  • Motivational and inspirational personality

WHAT WE OFFER

  • Young and agile company where you and your opinion matters
  • An above average salary
  • A company car – also for private use
  • Create a unique profile by gaining knowledge about Big-Data Analytics in the process industry taught to you by absolute experts in the field
  • Working with major players in Chemicals, Oil and Gas and Pharma industry
  • Unique career opportunities in a fast growing environment

ABOUT TrendMiner

Founded in 2008 as a spin-off from the University of Leuven, TrendMiner develops discovery, diagnostic & predictive analytics solutions for the process manufacturing industry. Our cross-functional agile development teams are developing an innovative big data analytics product for the process industry. As of 2018, TrendMiner is part of the Software AG company to consolidate its leading position in the rapidly growing IoT market. TrendMiner is growing fast, so we’re always on the lookout for ambitious and enthusiastic new talent.

TrendMiner is an equal opportunity employer. All applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability status.

INTERESTED?

Please only apply online via CU4. Your application should include a short motivation letter, a CV and your references.

Your contact:

Yvonne Exeler, Manager HR Recruiting & Onboarding DACH, Tel.: +49 (0) 681 210 - 3727