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Product Data Analyst - Tracking (all genders)

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Zalando

8d ago

  • Job
    Full-time
    Mid Level
  • Data
    Product
  • Berlin

AI generated summary

  • You have 3+ years in e-commerce analytics, a quantitative degree, strong SQL skills, experience with Google Analytics and Python, and excellent communication abilities.
  • You’ll analyze product data, develop reports and dashboards, generate and test hypotheses, collaborate with cross-functional teams, and define key performance metrics to drive insights and improvements.

Requirements

  • 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

Responsibilities

  • 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.

FAQs

What is the main focus of the Product Data Analyst role?

The main focus of the Product Data Analyst role is to analyze customer behavior interactions within the Fashion Store Tracking team, develop internal dashboards, define key performance metrics, and provide actionable insights to improve customer understanding and influence product decisions.

What qualifications are required for this position?

Candidates should have a BA/BS/BE or Master's degree in a quantitative field such as Statistics, Computer Science, Mathematics, Data Science, or a similar discipline, along with 3+ years of experience in a data-intensive analytics role in the e-commerce industry.

What specific skills are necessary for this role?

Candidates must demonstrate exceptional SQL skills, experience with Google Analytics data via BigQuery, data manipulation, ETL data pipelines, and visualization with Python. Familiarity with dashboarding tools such as Looker Studio or MicroStrategy is also important.

How does Zalando approach diversity and inclusion in hiring?

Zalando is committed to being inclusive by design and does not discriminate based on gender identity, sexual orientation, personal expression, ethnicity, religious belief, or disability status. They focus on assessing candidates based on qualifications and merit alone.

Are there opportunities for professional development?

Yes, Zalando offers a supportive environment that encourages professional growth, and you can learn more about this during the hiring process.

What benefits do employees receive?

Employees receive benefits such as participation in an employee shares program, discounts on Zalando products, paid volunteering days, a hybrid working model, vacation days, relocation assistance, family services, and health and well-being options.

Is there room for negotiation regarding the experience requirements?

Yes, Zalando encourages candidates to apply even if they don’t meet every single requirement, as they may still be the right fit for this role or other positions.

What tools and technologies will I be using in this role?

You will be working with tools such as BigQuery, Databricks, and various dashboarding tools to define and monitor metrics and automate reports.

Will I be working with other teams within the organization?

Yes, you will collaborate with product managers, software engineers, applied scientists, and business analysts in a multidisciplinary team to implement and monitor logging and metrics.

Does Zalando offer any mental health support?

Yes, Zalando provides mental health support and coaching options to its employees.

Europe’s leading online platform for fashion and lifestyle.

Retail & Consumer Goods
Industry
10,001+
Employees
2008
Founded Year

Mission & Purpose

Zalando is a leading European online platform for fashion and lifestyle, offering a wide range of clothing, footwear, accessories, and beauty products from various brands. Their ultimate mission is to provide customers with a seamless and inspiring shopping experience, blending fashion with technology to create innovative solutions. The purpose of Zalando is to revolutionise the fashion industry by offering a diverse and inclusive shopping environment where customers can discover and purchase the latest trends and styles conveniently online. They aim to empower people to express their individuality through fashion while fostering sustainability and ethical practices within the industry.