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- Aufgaben: Analyze complex data sets to provide actionable insights for business decisions.
- Arbeitgeber: Join a dynamic team focused on Customer & Shop Intelligence in a collaborative environment.
- Mitarbeitervorteile: Enjoy flexible remote work options and a supportive team culture.
- Warum dieser Job: Be a key player in driving business growth through data-driven strategies and insights.
- Gewünschte Qualifikationen: Advanced SQL skills required; experience with Python, GA4, and data visualization tools is a plus.
- Andere Informationen: Opportunity to work independently and influence product enhancement strategies.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
Company Description
We are looking for an Analyst (m/f/d) to be part of the development of our Shop Analytics Team . Our Shop Analytics Team circle is embedded in our new circle cluster “Customer & Shop Intelligence” and works in close cooperation with Tracking & Marketing Intelligence teams. The team strives to support stakeholders to analyze and interpret complex data sets, in order to make informed decisions. In addition, the team is responsible for providing a stable and maintainable technical infrastructure, as well as collecting, analyzing, and interpreting data from various sources to provide valuable insights and recommendations.
Shop Analytics is a key enabler to support the business towards achieving goals and objectives, as well as making educated decisions based on data.
Main focus of the role will be to offer actionable insights and recommendations to stakeholders derived from data analysis, facilitating informed decision-making and fostering business expansion.
What you will do
- Offer advice to Business and Product Owners on leveraging data-driven insights for optimizing products, crafting A/B Tests, and providing user behavior insights to refine product enhancement strategies.
- Define and monitor key performance metrics essential for product success and provide internal teams with efficient analysis to track and evaluate product performance.
- Conduct ad-hoc data analyses, collaborating with e-commerce managers and product owners to devise solutions, and present findings to management.
- Gather and scrutinize data from diverse sources such as internal platforms, third-party tools, and market studies to detect trends, patterns, and potential opportunities.
- Act as the primary resource for product-oriented data inquiries and advise on organization-wide data product requirements to extend and optimize our product analytics and data framework.
- Develop and enhance dashboards within Google Looker Studio, enabling comprehensive analyses through business intelligence tools.
- Collaborate with IT teams to optimize data infrastructure, systems, and tools for efficient data gathering, storage, and analysis.
- Generate management reports and conduct analyses.
Who you are
- Advanced SQL (Python is a plus)
- Experience working with tracking data (GA4 a plus)
- Experience with version control software and data warehouse (gitlab, GBQ or similar)
- Experience with data visualization tools (eg. Looker Studio or similar)
- Experience with data mining and cleaning
- Knowledge in user behavior analysis and visualization
- Able to work and drive topics independently with stakeholders
- Excellent analytical thinking, a passion for working with numbers, and the ability to deliver thoughtful solutions based on data analyses
- Excellent communication skills to convey complex analytical findings in a clear and actionable manner.
- Self-driven, motivated, and organized
#J-18808-Ljbffr
Senior Data Analyst (m/f/d) - Shop Analytics - onsite or remote within Germany Arbeitgeber: ABOUT YOU GmbH
Kontaktperson:
ABOUT YOU GmbH HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior Data Analyst (m/f/d) - Shop Analytics - onsite or remote within Germany
✨Tip Number 1
Make sure to familiarize yourself with the specific tools and technologies mentioned in the job description, such as Google Looker Studio and SQL. Having hands-on experience or projects showcasing your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Network with current or former employees of StudySmarter on platforms like LinkedIn. Engaging with them can provide you with insider knowledge about the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss specific examples of how you've used data analysis to drive business decisions in your previous roles. Being able to articulate your thought process and the impact of your insights will demonstrate your analytical thinking and problem-solving skills.
✨Tip Number 4
Stay updated on the latest trends in e-commerce analytics and user behavior analysis. Showing that you are knowledgeable about current industry practices can impress the hiring team and highlight your commitment to continuous learning.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior Data Analyst (m/f/d) - Shop Analytics - onsite or remote within Germany
Tipps für deine Bewerbung 🫡
Understand the Role: Take the time to thoroughly read the job description. Understand the key responsibilities and required skills, especially focusing on data analysis, SQL proficiency, and experience with data visualization tools.
Tailor Your CV: Customize your CV to highlight relevant experiences and skills that align with the job requirements. Emphasize your analytical skills, experience with SQL, and any familiarity with tools like Google Looker Studio.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and your ability to provide actionable insights. Mention specific examples of how you've used data to drive decisions in previous roles.
Highlight Collaboration Skills: Since the role involves working closely with various teams, make sure to mention your experience in collaborating with stakeholders and how you’ve effectively communicated complex data findings in the past.
Wie du dich auf ein Vorstellungsgespräch bei ABOUT YOU GmbH vorbereitest
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've used data analysis to drive business decisions. Highlight your experience with SQL and any relevant tools like Google Looker Studio, as these are crucial for the role.
✨Understand the Business Context
Research the company’s products and market position. Be ready to explain how your insights can help optimize their offerings and support business goals, demonstrating your understanding of the e-commerce landscape.
✨Prepare for Technical Questions
Expect questions about your experience with tracking data and data visualization tools. Brush up on your knowledge of GA4 and version control software, as these are important aspects of the job.
✨Communicate Clearly
Practice explaining complex data findings in a simple and actionable way. Good communication skills are essential for conveying insights to stakeholders, so be ready to demonstrate this during the interview.
