Data Analyst Logistics
Wroclaw, PL
1 d. temu

Together, we move the world we’ve been doing it for over years. As a leading international development partner and systems supplier to the automotive industry, we are passionate about developing innovative solutions for the mobility of tomorrow.

Join our MAHLE team! #StrongerTogether

Your role & responsibilities :

  • Data modeling with the aim of creating detailed process models for logistical purposes (material movement analysis, dynamic parametrization)
  • Data analysis in process mining software to identify process efficiencies and their causes
  • Carry out data processing and analysis including statistical modeling techniques
  • Derivation of optimization, standardization, and automation measures
  • Preparation of results, reporting and presentation in English
  • Help with the design, development, evaluation and monitoring of predictive models and advanced algorithms that help our corporate logistic function to drive decisions
  • Work closely with Digital Automation Specialist, Green Belts, business partners and IT analytics teams to evaluate new and alternate data sources as well as computing paradigms and analytical tools
  • Participate in data architecture decisions and partner with technology teams to implement models / algorithms in production systems
  • Develop metrics providing detailed insight into daily status of operations
  • Develop best practice big data and process mining solutions
  • Support our logistic function analyzing processes to create a solution design for the technical implementation
  • Responsible for the quality assured implementation of data science solutions
  • Ensure replication with consistency of data science solutions
  • Your skills & strengths :

  • Fluency in English
  • Relevant experience in working with process mining software (e.g., Celonis), good database knowledge as well as knowledge of database-related languages (e.g., SQL)
  • Ability to explain complex statistical models and analysis to drive business ideas
  • Expertise with common statistical modeling techniques such as time series analysis, linear regression, logistic regression, survival analysis, tree models, cluster analysis, machine learning, customer analytics, digital marketing, or similar domains.
  • Higher education
  • Knowledge of SAP ERP systems is a major plus
  • Working experience with logistical processes is also a major plus
  • Good communication and organizational skills
  • Self-motivated, customer-oriented and detail-oriented
  • Ability to define problems, collect information, establish facts, and draw valid conclusions
  • Ability to interpret an extensive variety of process related information in mathematical and / or graphical form
  • Process modelling skills are a plus
  • Green Belt certification is a plus
  • Willingness to occassionally travels (max. 10%)
  • See what we can offer you!

  • Attractive salary package (incl. private medical care, Multisport, group insurance, Edenred prepaid cards)
  • Becoming a member of a fast-growing team in an innovative company with a stable market position
  • Possibility to work for a well-known brand, a leader in the Automotive industry whose products are highly recognized worldwide
  • Relocation bonus for candidates who are based more than km from Wrocław
  • Online foreign language courses
  • Referral bonus program
  • Flexible work schedule and possible working from home solution (home office)
  • Zgłoś tę pracę

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