Product Data Analyst (m/f/d)

Location: Munich

Salary: up to €95,000 depending on qualifications

Type of contract: permanent position

Job Description:

Our client is looking for an experienced Product Data Analyst (m/f/d) to support the Data Intelligence Team as soon as possible. If you have a passion for Product Analytics and you consider yourself as Data Analyst / Product Analyst and would like to work in an innovative company, then we look forward to receiving your application. You will be offered a very agile and dynamic working environment in which you can fully utilise your skills. As a Product Analyst (m/f/d), you will work with many dedicated colleagues who work together to bring forward a very data-driven company. You can expect a very exciting task, a lot of creative freedom, autonomous working and a huge amount of Data and State-of-the-Art Technologies.

Your Tasks:

• Join a dynamic, cross-functional team where you'll collaborate closely with product managers, UX/UI designers, developers, marketing specialists, and various stakeholders. In this fast-paced environment, you’ll take ownership of analytical initiatives that drive impactful decisions across their digital platforms, including their website and mobile apps.
• You’ll play a key role in early product development phases by exploring user behavior data and identifying meaningful patterns across digital touchpoints.
• By designing and interpreting A/B tests, you’ll help product teams make informed decisions, leveraging deep analyses and data visualizations to enhance customer journeys and increase business performance.
• Using raw web tracking data and integrating it with historical sources from the data warehouse, you'll derive insights that matter.
• You’ll work hands-on with tools such as Snowflake, AWS Athena, Amplitude, Tealium, Google Analytics, PowerBI, Excel, Confluence, Jira, Slack, Mural, MS Office, and Teams.
• You’ll translate complex data into clear, actionable reports and presentations tailored to a wide range of audiences, and you’ll also contribute to data science efforts focused on customer segmentation and targeting.
• As an analytics advisor within the team, you’ll help ensure that tracking concepts are thoughtfully aligned with both business goals and technical requirements.

Your Profile:

• A sharp, analytical mind with a structured, data-oriented approach combined with creative problem-solving
• Experience working in agile teams and the flexibility to adapt in a constantly evolving environment
• Self-driven attitude, excellent communication skills, and the ability to thrive independently in collaborative settings
• A background in digital analytics, ideally within e-commerce; marketing analytics knowledge is a strong asset
• Proficiency in SQL and confidence working with large, complex datasets
• Familiarity with analytical programming languages such as R or Python is a plus
• Experience with PowerBI or other business intelligence and visualization tools
• Understanding of data collection and transformation processes—experience working alongside data engineering teams is beneficial
• Fluency in English is required; German skills are a bonus

Benefits:

• 13 salaries
• 30 days holiday
• Flexible working hours & mobile work
• Monthly shopping voucher canteen allowance
• Occupational disability insurance and company pension scheme
• Childcare allowance
• Corporate benefits
• And much more.

The company:

Our client is a leading provider in Europe in the omnichannel/e-commerce sector.

With around 1200 employees, our client inspires more than 1.7 million active customers and generated a turnover of around 800 million euros in the last financial year.

If you have a passion for Data & Product Analytics and would like to work in an innovative company, then we look forward to receiving your application.

Become a part of the team!

Are you interested in this position? Then simply apply using the attached online link, including your CV, salary expectations and earliest possible starting date to Mr Markus Grossmann.

You can also obtain further information by telephone at 01739504928 or by email to:

markus@data-talent.de

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