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.