Expert Data Analyst (m/f/d), Ismaning (Data-Warehouse-Analyst/in)

We are a leading provider in Europe in the field of Live Commerce and, as a media platform, offer the most entertaining form of shopping. With our curated product range in the areas of Fashion, Jewelry, Beauty, Wellness, Household, as well as Home & Living, we inspire a large number of viewers, fans, and followers every day across all channels: on TV, in the online shop, and in social media. Through the networked staging of lifestyle topics and brand worlds, we are innovation drivers for cross-channel shopping entertainment. Customers decide when and where they shop at HSE.

What awaits you:

• You analyze customer, product, and channel data to gain deep insights into customer behavior and drive data-based business decisions - with a special focus on the digital touchpoints of HSE (E-Commerce webshop and native Apps).
• You transform complex datasets into concrete recommendations for action and act as a strategic sparring partner for stakeholders throughout the entire company by conducting diagnostic analyses.
• You perform exploratory data analyses (EDA) to test business hypotheses and identify new predictive variables for customer behavior using SQL and Python.
• You support digital teams in validating their solutions through sound planning and analysis of A/B tests to optimize the Customer Experience and increase revenue.
• You work together with Data Scientists on projects to improve customer understanding and prepare analytics insights that serve as a basis for predictive models.
• You create meaningful reports and presentations for different target groups and ensure that all insights contain clear recommendations for measurable business actions.
• You work in an agile environment and cooperate with various stakeholders (e.g., Marketing, Product Management, Customer Support) to drive data-based decisions at HSE.

What you bring with you:

• You have a successfully completed degree in Business Administration, Analytics, Marketing, Engineering, Data Science, or a comparable quantitative field with a strong statistical background.
• You have sound professional experience in the field of Data Analytics or Data Science, ideally with several years of experience in digital analytics and E-Commerce environments.
• You possess very good knowledge of SQL and Python for analyzing large amounts of data, as well as sound expertise in statistical analyses with Python or R.
• You bring experience in the field of Customer Analytics (experience in Product Analytics and/or Marketing Analytics is an advantage) and have practical knowledge in the application of statistics in a business context.
• You have experience in agile working environments and impress with high flexibility, analytical thinking, a structured way of working, and a keen eye for detail.
• You possess strong communication skills, team spirit, and the ability to combine analytical depth with a clear business-impact orientation.
• You speak fluent English (German skills are an advantage) and work in a solution-oriented manner with an agile mindset and enthusiasm for innovations.

Your contact person