Head of Analytics

Tvoja pracovná náplň:

• As the key analytics contact person for all departments, you’ll provide support for all national operational departments in deriving and solving analytical questions either through deep-dive analysis or the development of local analytical solutions.
• You’ll be responsible for the guidance of the analytics team in the development and implementation of analytics solutions using analytical methods including the processing and visualisation of results; the implementation can range from simple methods (e.g. exploratory data analysis, linear regression, cluster algorithms) to complex models (e.g. XGBoost, ANN). The use and development of data sources and feature engineering are also key parts of the role.
• Cross-analyse data from different sources both internal and external to create new insights into the business to solve real-world business problems.
• Develop and supervise interactive analyses and models and integrate them into business processes.
• Own the full lifecycle development from analysing current processes, providing functional specification, designing and developing solutions, testing and providing on-going support once live
• Use modern machine learning techniques for the optimisation of business processes using predictive and prescriptive methods.
• Lead the transfer from current Excel-based analysis tools to advanced analytics products.
• Keep up to date with the latest analytics and data science trends and identify further potential software solutions.
• When required, support the development of solutions in cooperation with other countries or the international analytics teams to ensure the rapid dissemination of solutions in the global Lidl analytics community.
• Provide support for international data product development when required

Tvoj profil:

• Strong knowledge of big-data technologies (e.g. Spark) and experience with handling very large datasets.
• Strong knowledge of machine learning, optimization, and data mining methods (e.g. with Python, R).
• Statistical knowledge, experience with predictive modelling.
• Experience with cloud computing (e.g. Microsoft Azure) is a plus.
• Knowledge of applying time-series / regression analysis, clustering methods, effectiveness testing (A-/B-hypotheses testing) to solve diverse business problems.
• Bachelors or Masters Degree in data science, mathematics, statistics, computer science, physics, economics or similar subject.
• Strong ability to understand complex problems and scenarios, to analyse them in detail, and to develop innovative, data-driven solutions.
• Ability to work to tight deadlines and to deliver accurate results.
• Excellent communication skills and ability to effectively lead, as well as collaborate with, a team of data scientists and analytics specialists.
• Self-motivated and proactive individual with a can-do attitude and the ability to work on projects and solve problems independently.
• German language skills are not essential, but would be highly advantageous.

Naše benefity:

Benefitov máme toľko, že sa sem nezmestia. Dočítaj sa o nich viac na www.lidl.sk – sekcia kariéra

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