Senior Data/Product Analyst DIA Analytics Platform (all genders)

As a Senior Data/Product Analyst, you will play a crucial role in shaping and delivering data products that meet the needs of various product domains within our organization. You will be responsible for ensuring that these products adhere to agreed standards and leverage cutting-edge technology. Your expertise will help coordinate and enforce best practices, enabling stakeholders to perform self-service analytics and reporting efficiently. In this position you will be closely collaborating with product managers, embedded product analysts and data engineers. If you are passionate about building advanced data products and working with leading technology, we would love to hear from you!

While being closely connected to your stakeholders, you will benefit from working in a team of data and product analysts who share similar challenges across the company. This will allow you to learn and develop your skills in a collaborative and supportive environment.

WHERE YOUR EXPERTISE IS NEEDED

• Produce overarching data products for use across product domains, ensuring alignment with agreed standards and technology

• Coordinate and enforce best practices in the production of data products, tailored to meet stakeholders’ specific needs

• Empower embedded product analysts and their stakeholders to utilize self-service analytics and reporting tools, including the maintenance of these tools

• Maintain trust in our data products by defining and implementing customized data quality tests

• Streamline central reporting initiatives originating from embedded product analytics teams, ensuring consistency and efficiency

• Continuously assess the impact of our data products and make necessary adjustments to enhance their effectiveness 

WHAT WE’RE LOOKING FOR

• Have 4+ years of relevant working experience in a data-intensive analytics role where you learned how to work with raw data, such as in AnalyticsOps, Digital Analytics, Product Analytics, or Business Intelligence, preferably in e-commerce

• BA/BS or Master's degree in a quantitative field such as Statistics, Computer Science, Mathematics, Data Science or similar

• Have experience working with a diverse range of stakeholders and have excellent communication and presentation skills

• Strong proficiency with SQL - based languages, preferably in BigQuery or Redshift

• Are proficient in Python or similar programming languages for data transformation and analyses

• Have experience working with dbt and Airflow

• Have experience in data modeling, developing data pipelines and data visualization

Additionally, it would be preferred if you:

• Have experience in tracking and analysis of onsite user behavior (for example using Google Analytics or a similar service) 

• Are familiar with dashboarding tools, such as Tableau or MicroStrategy

• Have experience working with data quality tools

OUR OFFER

Zalando provides a range of benefits, here’s an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.

• Employee shares program

• 40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners

• 2 paid volunteering days a year

• Hybrid working model with 60% (or more) remote per week, actual practice is up to each team to best support their collaboration

• Work from abroad for up to 30 working days a year

• 27 days of vacation a year to start

• Relocation assistance available (subject to prior agreement)

• Family services, including counselling and support

• Health and wellbeing options (including Gympass)

• Mental health support and coaching available

• Drive your development through our training platform and biannual peer-to-peer review

Learn all about Zalando and our values here: https://jobs.zalando.com/en/?gh_src=22377bdd1us

If you think you have what it takes, we encourage you to apply even if you don't meet every single requirement. You may just be the right candidate for this or other roles!