Statistical Forecast Expert for Supply Chain Demand Planning

Angajator: CER Cleaning Equipment
  • Achizitii - Logistica - Aprovizionare
  • Inginerie
  • Productie
  • Tip job: full-time
    Nivel job: 1 - 5 ani experienta
  • Curtea de Arges
  • Actualizat la: 30.11.2021
    Scurta descriere a companiei

    CER CLEANIG EQUIPMENT, filiala de producție a grupului Kärcher, din Curtea de Argeș. Fabrica CER Cleaning Equipment înfi­ințață înca din anul 2006, la Curtea de Argeș.


    Your tasks

    • Responsibility for the monthly creation of the Statistical Forecast in Supply Chain Planning worldwide and central
    • Central contact person for all requests regarding Statistical Forecasts
    • Accountability for the Forecast Accuracy of the Statistical Forecast
    • Actively driving the rollout and use of Statistical Forecast by creating documentations, executing trainings worldwide and identification of improvement potentials
    • Optimization of Statistical Forecast quality with technical measures e.g. by improving the forecast methods, adjustment of parameters
    • Identification and integration of improvement potentials like additional features, analysis of sales patterns or external data like Point of Sales data
    • Global travels as required sporadically


    Required Expertise/ qualifications

    • Profound experience in data science, statistics, mathematics
    • Technical experiences in R, Python, SQL, Access, BI solutions and/or other data
    • Analytical skills and capabilities in data analysis
    • Operational experience in Demand Planning and Forecasting, Logistics, Supply Planning in a corporate environment is a benefit
    • High customer focus and the passion to actively drive our performance to a new level
    • We search for a team player with good communication skill
    • Personally committed to quality, delivery and improvement
    • Fluent English (oral and written), additional languages are welcome

    Alte informatii

    Other information

    • Statistical Forecast is currently created by a cloud based platform with machine learning capabilities