Expert Data Analyst (m/f/d)

Home Shopping Europe GmbH; Ismaning; Vor Ort; EUR 65.000 - 95.000; Vollzeit

Zusammenfassung

Home Shopping Europe GmbH is seeking a data analytics professional to extract insights across customer, product, and channel data within our ecommerce focus. You will translate complex datasets into actionable analysis and serve as a strategic partner to stakeholders across the organization.

The role involves EDAs, hypothesis testing, and supporting A/B testing to improve customer experience and revenue. Collaboration with data scientists and cross-functional teams is essential in an agile

Qualifikationen

• Completed degree in a quantitative field with strong statistical background.
• Solid experience in data analytics or data science in digital analytics/e-commerce.
• Proficient in SQL and Python for large datasets; strong statistics background.
• Experience in customer analytics and ability to translate insights to business actions.

Aufgaben

• Analyze customer, product and channel data to generate insights for digital touchpoints.
• Transform data into actionable insights and partner with stakeholders across the company.
• Conduct EDAs to test hypotheses and identify predictive variables.
• Support A/B testing planning and analysis to optimize customer experience and revenue.
• Collaborate with Data Scientists on projects to inform predictive models.
• Create reports and presentations with clear, actionable recommendations.
• Work in an agile environment with Marketing, Product and Support teams to inform decisions.

Kenntnisse

SQL

Python

Data analytics

Statistics

Agile

Communication

Ausbildung

Bachelor's or Master’s in Business Analytics/Data Science/Engineering

Tools

R

Jobbeschreibung

HSE is one of Europe’s leading live commerce providers. Whether via its three TV channels, online shop, award-winning HSE app, or social commerce channels - HSE customers decide when and where they want to shop. HSE stands for the most entertaining form of shopping and inspires 1,2 million active customers who appreciate its curated range of fashion, jewelry, beauty, wellness, household, and home & living products.

What you can expect:

• You analyze customer, product, and channel data to generate deep insights into customer behavior and drive data-informed business decisions, with a key focus on HSE's digital touchpoints (e-commerce web shop and native apps)
• You transform complex datasets into actionable insights and serve as a strategic sparring partner for stakeholders across the company with diagnostic analyses
• You conduct exploratory data analysis (EDAs) to test business hypotheses and uncover new predictive variables of customer behavior using SQL and Python
• You help digital teams validate their solutions through proper A/B testing planning and analysis to optimize customer experience and increase revenue
• You collaborate with Data Scientists on projects to enhance customer understanding and prepare analytics insights that serve as the basis for predictive models
• You create compelling reports and presentations for diverse audiences, ensuring all insights include clear recommendations for measurable business actions
• You work in an agile environment and collaborate with diverse stakeholders (i.e. Marketing, Product, Customer Support) to drive data-informed decision making across HSE

Requirements:

• You have a successfully completed degree in Business Administration, Analytics, Marketing, Engineering Sciences, Data Science, or comparable quantitative field with strong statistical background
• You bring solid professional experience in Data Analytics or Data Science, ideally with several years in digital analytics and e-commerce environments
• You possess profound knowledge of SQL and Python for analyzing big datasets, plus solid expertise in statistical analysis using Python or R
• You demonstrate experience in customer analytics (product and/or marketing analytics is a bonus), with practical knowledge of statistics in business contexts
• You have experience working in agile environments with high flexibility, analytical thinking, and a structured work approach with attention to detail
• You show strong communication skills, teamwork abilities, and the ability to bridge analytical depth with business impact orientation
• You speak fluent English (German is a plus) and work solution-oriented with an agile mindset and enthusiasm for innovation