Лидл България ЕООД & КО. КД
Senior Data Analytics Specialist
с. Равно поле
длъжност на пълно работно време

Senior Data Analytics Specialist

с. Равно поле длъжност на пълно работно време

За нас

Having over 100 stores and 2 logistics centers in the country, Lidl Bulgaria has been consolidating its leading position for 10 years as a responsible investor, a fair employer, and a preferred place for shopping, offering high quality at a good price.
In our daily work we adhere to clear principles of respect and honesty, which determine our actions and way of communication.
If you want to work in a pleasant atmosphere with a team of motivated and smiley people, do not hesitate and apply now!

For our Head Office in Ravno Pole we are looking to hire:

Senior Data Analytics Specialist

We have an exciting new position available for Senior Data Analytics Specialist to be a part of and develop a new Analytics function at Lidl Bulgaria. The purpose of this new position is to provide support to senior management and operational departments by developing of advanced analytics and data science methodologies to create custom solutions that can be integrated into business processes and generate business value.
You will be working closely with our Business Intelligence and Business Partnering teams, and you’ll be in regular contact with our International Head Office in Germany and local Analytics teams in a variety of Lidl countries. This collaboration will see you develop the local analytics team, roll out international data analytics products and support local testing.
Your experience in big data technologies, strong knowledge of machine learning and data mining methods as well as predictive modelling will be put to good use as the Senior Data Analytics Specialist for Lidl Bulgaria.


• 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 development and implementation of analytics solutions using analytical methods including the processing and visualization 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 complex data products and models and integrate them into business processes. Develop these models into productive software to help generate added business value.
• 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 optimization 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
• Ensure active participation in the global analytics community and the exchange of methods and solutions.

Изисквания и необходими умения

• 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 master’s degree in data science, mathematics, statistics, computer science, physics, or similar subject.
• Very good level of English and\or German language.
• 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 collaborate with a team of data scientists and analytics specialists, as well as business partners.
• Self-motivated and proactive individual with a can-do attitude and the ability to work on projects and solve problems independently.

Ние Ви предлагаме

• Work in an international company with career development opportunities.
• Onboarding training.
• Food vouchers in the amount of BGN 60 / month.
• Reporting and payment of the time worked to the nearest minute.
• Additional health insurance.
• Multisport card at a preferential price.
• 1-day additional birthday leave.
• Gift and cash bonus at the birth of a child.
• Workplace - Ravno Pole village, municipality of Elin Pelin (transport organized by the employer).

Apply online now!

• We will only consider applications having a CV in English, so please make sure to send it.
• We will contact the approved candidates in person, so please provide an up-to-date telephone number.
• Everyone else will receive a written feedback from us to an email address provided by them.
Lidl Bulgaria guarantees:
• Fair treatment.
• Discipline, accuracy, and transparency in employment relations.
• Full confidentiality during the recruitment process.
• Full protection of personal data according to the new EU regulation and the current Bulgarian legislation.

* Please read the full information text about Personal Data Protection Policy on the career site of Lidl Bulgaria.
* In connection with the involvement in the recruitment process for this position of our colleagues from the Head Office in Germany, please read the additional information about Personal Data Protection. To do that, you can follow the link at the end of the same job ad on our career page.