Data Analyst Logistics

04_Professionals (technical)
Services

Together, we move the world—we’ve been doing it for over 100 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

 

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 100 km from Wrocław
  • Online foreign language courses
  • Referral bonus program
  • Flexible work schedule 
PL

 

 

Facts about the job

Benefits:  Benefits-PL/AE_ER_FH_HI_LI_LT_MA_PC_RB_SP_TO
Entry level:  Experienced hires
Part- / Full-time:  Full Time
Functional area:  Logistics
Location: 

Wroclaw, PL

Company:  MAHLE Shared Services Poland Spólka z o.o.

Closing date for applications
Don't waste any time, apply while the position is online.

 

 

Your future at MAHLE

As a team player and someone who thinks ahead, you can deploy all your skills with us. In cooperation with colleagues from different countries and areas, you contribute in designing the mobility of the future. When selecting MAHLE, you choose trend-setting technologies and strategies. Are you interested in working with us and developing efficient and environmentally-friendly solutions, optimising existing products, and turning innovative ideas into reality? Then MAHLE is the right address for you.

Shape the future with us.

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