Senior Data/Product Analyst DIA Analytics Platform (all genders)
Berlin
Zalando
Shop the latest fashion & shoes online | Free delivery* & returns on most of the orders | Over 1,900 Brands – new products every day!THE ROLE & THE TEAM
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.
INCLUSIVE BY DESIGN
At Zalando, our vision is to be the starting point for fashion - one that is inclusive by design. We only assess candidates based on qualifications, merit, and business needs. We welcome applications from people of all gender identities, sexual orientations, personal expressions, racial identities, ethnicities, religious beliefs, and disability statuses. We only want to know why you’re great for this role, so please avoid including your picture, age, and marital status in your CV as well.
We want to provide you with a great candidate experience. Please feel free to inform us of any accommodations you may need, so we can best support and assist you throughout the hiring process.
do.BETTER - our diversity & inclusion strategy: https://corporate.zalando.com/en/diversity-inclusion
Our employee resource groups: https://corporate.zalando.com/en/diversity-inclusion/our-employee-resource-groups
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!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow BigQuery Business Intelligence Computer Science Data pipelines Data quality Data visualization dbt E-commerce Mathematics Pipelines Python Redshift SQL Statistics Tableau
Perks/benefits: Career development Equity / stock options Fitness / gym Health care Relocation support Startup environment
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