Product Data Analyst - Tracking (all genders)

THE ROLE AND THE TEAM

As a Product Data Analyst in the Fashion Store Tracking team, you will specialize in the Tracking, Customer Data Platform domains, analyzing customer behaviour interactions and developing internal stakeholder facing dashboard for improving our customer understanding. In this role, you will work closely with product managers, principal engineers, engineering leads to build effective dashboards for our data products. You will define and monitor key performance metrics, report critical KPIs, and develop internal data products, ETL jobs, and automated dashboards. By providing actionable insights and ensuring alignment with stakeholder needs, you will influence product decisions and contribute to the success of our products, enhancing our data platform.

INCLUSIVE BY DESIGN

At Zalando, our vision is to be inclusive by design. And this vision starts with our hiring - we do not discriminate on the basis of gender identity, sexual orientation, personal expression, ethnicity, religious belief, or disability status. You are welcome to leave out your picture, age, or marital status from your application. We only assess candidates on their qualifications and merit. 

We want to provide you with a great candidate experience. Feel free to inform us of any accommodations you may need, so we can best support you throughout the hiring process. 

do.BETTER - our diversity & inclusion strategy: https://corporate.zalando.com/en/our-impact/dobetter-our-diversity-and-inclusion-strategy
Our employee resource groups: https://corporate.zalando.com/en/our-impact/our-employee-resource-groups 

WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)

• You’ll explore data to find actionable insights and make platform experience recommendations through different data analytics methodologies, including but not limited to funnel and cohort analyses, long-term trends, user segmentation, and regression models.

• You’ll develop and automate reports, iteratively design and build dashboards to provide insights at scale

• You will generate hypotheses and test them by performing descriptive, exploratory and quantitative analyses leveraging various statistical methodologies. 

• You’ll be the person when it comes to analyzing product data and supporting and guiding the team in getting valuable information they need for their projects and analysis.

• You'll work with the Engineering Leadership Team and senior members of the team to define key performance metrics for the team to evaluate and monitor product performance. You will be a reliable partner for our teams regarding the interpretation of KPIs and getting powerful conclusions. You know and are transparent about the advantages and limitations of different approaches and metrics.

• You’ll work in a multidisciplinary team, together with product managers, designers, software engineers, applied scientists, and business analysts, to implement, document, validate, and monitor our logging and metrics, using tools like BigQuery & Databricks.

WE’D LOVE TO MEET YOU IF

• You have 3+ years of experience in the e-commerce industry in a data-intensive analytics role where you learned how to work with raw data

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

• You demonstrate exceptional SQL skills and have experience working with onsite data from Google Analytics via BigQuery.

• You have experience in data manipulation, ETL data pipelines and visualisation with Python. Additional experience in Databricks is considered a plus. 

• You have a good understanding of quantitative analysis, as well as a strong business sense.

• You are familiar with dashboarding tools, such as Looker Studio or MicroStrategy.

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

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!

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% 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 counseling and support

• Health and wellbeing options (including Gympass)

• Mental health support and coaching available

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