Qualifications:

​

• Bachelor degree in Industrial Engineering, Computer Engineering, Mathematics and/or similar sciences.

• Fluent in English​.

• Excellent communication and organizational skills​.

• Advanced level of MS Office, especially Excel​.

• Proficiency in at least one BI tool (preferably Power BI), including:

• New Report creation,​

• Dataset creation and maintenance,​

• Clear understanding of measures, calculated columns, and creating data table relationships.

• Additional technical skills such as experience with databases (SQL), programming languages (preferably Python), or relevant analytics certifications are highly desirable.

• Strong problem-solving skills in dealing with complex datasets.

• Good level of of statistics and statistical modelling​.

• Ability to adapt to evolving technologies and methodologies in the field of data analytics.

• Ability to build relationships and work well as part of a team​.

• Strong interest in career opportunities in the Supply Chain industry​.

Job Description:​

• Support the design and development of enterprise wide data analysis and reporting solutions​

• Tracking new dataset and/or data column requirements with Operation Team and requesting this from IT Department to be added in to current dataset​

• In case of dataset issues, communicating this with IT Department in order to find a resolution as soon as possible​

• Maintaining Power BI dataset, creating regular dataset backups and regular dataset health checks​

• Maintaining new DAX formulations and/or calculated columns according to operational KPI criteria requirements​

• Creating User Role Profiles within Power BI for visibility limitations, report accessibility, etc.,​

• Communicate analysis results and make recommendations to senior management​

• Following and improving the daily KPIs closely in order to define the reason of inconsistencies and supporting Operation to maintain the reasons​

• To support the wider business in retrieving and cleansing all customer and 3rd parties master data, feeding LLP Systems as per required standards​

• To turn raw business data into critical and coordinated information and knowledge that can be used to make sound business decisions​

• Stay updated on industry trends and continuously improve skills to enhance data analysis capabilities.

• Ensure data accuracy, integrity, and adherence to data governance policies.