(Junior) Analyst Data & Customer Insights (m/w/d)

With over 4,400 branches, around 88,500 employees, 21 million customers per week and 17.6 billion euros, net brand discount is one of the leading companies in the food retail sector. With around 5,000 articles and a focus on fresh products, net brand discount thus has the largest food selection in the discount landscape. For our headquarters in Maxhütte-Haidhof (near Regensburg) we are looking for: (Junior) Analyst Data & Customer Insights (m/w/d) Our motivated team develops solutions in the field of customer insights. A wide range of modern technologies and tools is used. Our agile approach enables us to quickly and qualitatively benefit our internal and external customers.

At the Maxhütte-Haidhof site, you actively support our analytical CRM team in our diverse tasks. You do this with full use: Analysis of data from different sources to gain insights that enable data-driven decisions regarding the customer Close cooperation with cross-functional teams to understand user behavior and business impacts, identify opportunities and check hypotheses Development of the internal analysis portfolio based on machine learning Developing a profound understanding of customer behavior Implementation and further development of new selection methods and algorithms for direct marketing Conducting ad hoc analyses and creating forecast models to accompany decision-making processes along the entire customer life cycle Transfer of selections in automated processes in cooperation with IT

You bring a distinct problem-solving competence and are excited to work with data. What is very useful for your future activity: Academic background in data science, computer science, mathematics, statistics/econometry or a related area Embossed analytical competence and the ability to generate feasible knowledge based on data Data Science and knowledge skills in Python or R, as well as SQL for querying relational databases and data extraction Knowledge in the field of machine learning, for example, to solve clustering, classification, regression and simulation analyses Experience with big data technologies (preferably Azure-Stack and Databricks) and data visualization tools such as Microsoft PowerBI or KNIME are desirable. Excellent communication and cooperation capability for effective cooperation with cross-functional teams A high degree of autonomy and motivation to successfully implement challenging and varied tasks Very good knowledge of German and English

Flexible working hours and possibility for mobile work 30 days holiday and special holiday for special events Safe workplace with permanent employment contract Air-conditioned offices with modern hardware and software Regular continuing and continuing training Varied care for every taste in the in-house canteen & cafeteria Direct location at A93, good parking facilities with E-Lade stations and bus stop directly at the location (RV line 41 and 42) Additional services such as in-house textile cleaning service and packing station Business sports offerings as compensation for everyday work Additional employee benefits such as 10% on net trips, local discounts, raffle of home game tickets from SSV Jahn Regensburg, Corporate Benefits and Jobrad leases A motivated and collegial team