(Senior) Data Analyst (m/f/d) - Shop Analytics - onsite or remote within Germany

ABOUT YOU GmbH; Hamburg; Remote; EUR 50.000 - 80.000; Vollzeit

Zusammenfassung

An established industry player is seeking a (Senior) Data Analyst to join their dynamic Shop Analytics Team. This role is pivotal in transforming complex e-commerce data into actionable insights, enhancing the shopping experience for millions. You'll define tracking requirements, create dashboards, and conduct in-depth analyses to support business decisions. Collaborating with cross-functional teams, you'll foster a data-driven culture and influence product enhancements through A/B testing and KPI monitoring. If you are proactive, detail-oriented, and passionate about data, this opportunity is perfect for you to make a significant impact.

Qualifikationen

• Advanced SQL proficiency for data analysis and querying large datasets.
• Expertise in e-commerce KPIs and funnel analysis.

Aufgaben

• Drive product optimization through data-driven insights and A/B testing.
• Define tracking requirements and ensure data accuracy.

Kenntnisse

SQL

A/B Testing

Web Analytics

Data Visualization

Customer Segmentation

Statistical Analysis

Problem Solving

Communication Skills

Ausbildung

Bachelor's Degree in Data Science or related field

Tools

Google Looker Studio

Tableau

Google Analytics 4

Python

Google BigQuery

Git

Jobbeschreibung

Job Description

Join our dynamic Shop Analytics Team within the Customer & Shop Intelligence cluster as a (Senior) Data Analyst (m/f/d) and play a crucial role in driving data-informed decision-making at ABOUT YOU.

The team strives to analyze and interpret complex e-commerce data sets, transforming them into actionable insights and recommendations for key stakeholders. In addition, the team is responsible to make a significant impact by improving and personalizing the shopping experience for millions of users through data-driven strategies and insights.

Main focus of the role will be to define tracking requirements, create and maintain dashboards, and implement attribution and scoring models.Support the business in achieving its goals and objectives by providing critical data analysis and interpretation.

What you will do

• Drive product optimization and growth by providing data-driven insights to Business and Product Owners, supporting the full cycle of A/B testing, and influencing product enhancements
• Define tracking requirements and support Quality Assurance of tracking implementations to ensure data accuracy and reliability
• Shape the success metrics for our products, developing and monitoring KPIs that directly impact millions of users' shopping experiences
• Conduct in-depth analyses on user behavior and e-commerce trends, uncovering actionable insights that guide strategic decisions
• Collaborate with multiple stakeholders across the organization to answer product-related questions with data-driven insights, supporting business decision-making
• Design and implement advanced dashboards using tools like Google Looker Studio, enabling self-service analytics across the organization
• Develop segmentation strategies and support personalization initiatives to enhance user engagement for millions of shoppers
• Foster a data-driven culture within the organization, promoting the use of analytics in decision-making processes

Who you are

• Advanced proficiency in SQL for complex data analysis and querying large datasets
• Expertise in e-commerce KPIs and funnel analysis
• Solid understanding of web analytics and experience working with frontend tracking data (GA4 experience is a plus)
• Experience with data visualization tools (e.g., Looker Studio, Tableau, or similar) to create compelling dashboards and reports
• Advanced knowledge of A/B testing methodology and statistical analysis for experiment design and interpretation
• Strong understanding of customer segmentation and cohort analysis in an e-commerce context
  
• Proactive and self-driven, with the ability to work independently and drive projects from conception to completion
• Collaborative mindset, adept at working with cross-functional teams and building strong relationships with stakeholders
• Pragmatic approach to problem-solving, consistently delivering efficient, data-driven solutions.
• Attention to detail and commitment to data quality and accuracy
• Excellent communication skills, enabling the translation of complex data analysis into clear, actionable insights for diverse stakeholders.

Nice to have

• Working knowledge of a programming language for data analysis
• (Python preferred)
• Experience with big data technologies (e.g., Google BigQuery)
• Familiarity with version control systems (e.g., Git)