Digital Product Analyst (m / f / d)

Job Description: Data Analyst at HSE

Our digital teams are very diverse: We handle programming, product development, product design (UX/UI), and web analysis. Everyone shares a common goal: to create digital contact points between HSE and customers using the latest technologies. Are you in?

HSE is a leading provider in live commerce in Europe, reaching about 46 million households in the DACH region through three TV channels (HSE, HSE Extra, HSE Trend). In 2023, HSE generated €624 million in revenue with 800 employees and around 1,800 external jobs supporting logistics, call centers, and tech development. We have received multiple awards for our service quality. More information at corporate.hse.com and hse.com.

What you can expect:

• Autonomous work in a fast-paced, cross-functional environment with PMs, UX/UI designers, developers, marketing experts, and stakeholders.
• Supporting the discovery phase by analyzing user engagement data across all digital touchpoints (webshop and apps).
• Validating product solutions through A/B testing, deep dives, and dashboards to optimize customer experience and revenue.
• Querying web tracking raw data and integrating it with data from our DWH.
• Using tools such as Snowflake, AWS Athena, PowerBI, Amplitude, Tealium, Google Analytics, Excel, Confluence, Jira, Mural, MS Office, Slack, and Teams.
• Preparing and presenting insights via reports and presentations.
• Contributing to data science projects to better understand and target customers.
• Collaborating with digital analytics experts to align tracking specifications with business needs.

Requirements:

• Analytical, structured, and data-driven mindset with creativity.
• Experience working in agile environments and adaptability to change.
• Self-motivated, ownership-driven, and clear communicator within cross-functional teams.
• Experience in web analytics within e-commerce; marketing analytics is a plus.
• Strong SQL skills and ability to analyze large datasets.
• Experience with R or Python for quantitative analysis (preferred).
• Knowledge of PowerBI or similar tools.
• Understanding of data collection and processing (data engineering) is advantageous.
• Fluent in English; German is a plus.

Benefits:

We value your ideas: An exciting platform to shape the future of home shopping!

Fair working conditions and development opportunities.

Work-life balance:

Flexible options including home office, flexible hours, and sabbaticals.

Compensation:

Attractive salary, allowances, and bonuses.

Culture:

Trust and appreciation define our team environment.

Training & Education:

Extensive onboarding and ongoing training courses.