Finde einen Job 
Finde eine Ausbildung 
Top Arbeitgeber 
Top Universitäten 
Für Unternehmen Auf einen Blick
- Aufgaben: Analyze data to optimize loyalty programs and enhance customer engagement across Europe.
- Arbeitgeber: Join zooplus, Europe's leading online pet platform, delivering joy to over 9 million pet parents annually.
- Mitarbeitervorteile: Enjoy a hybrid work environment, 28 vacation days, team events, and a 20% discount in our shop.
- Warum dieser Job: Be part of a mission-driven company that values care, courage, openness, and simplicity in a fun culture.
- Gewünschte Qualifikationen: Must have a degree in a relevant field and advanced SQL skills; experience with Tableau or Power BI is a plus.
- Andere Informationen: Work with passionate professionals across Europe and enjoy corporate rates at local gyms.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
Company Description
More than 20 years ago, zooplus was one of the first to bring the pet category into the world of eCommerce. Today, we stand strong as Europe’s leading online pet platform, delivering moments of happiness to more than 9 million pet parents each year.
We’re on a mission to create joy for pets and their parents, driven by our core values of Care , Courage , Openness , and Simplicity . At the heart of everything we do, they inspire us to grow, raise the bar for our customers and fuel a pet-first business.
Job Description
As our (Senior) Sales Analyst, you will be the advanced analytics service-provider for the loyalty and customer engagement teams across Europe.
You will help us make data-driven decisions to optimize our loyalty program, enhance customer engagement, and ensure future growth of our customer base. Furthermore, you will support our central teams (Central Loyalty) by providing analytical insights and dashboard reports to improve operational and strategic decision-making.
Your tasks include:
- Providing analysis by using SQL, Excel, etc., as well as conducting ad-hoc analysis to support loyalty initiatives.
- Taking the lead on analytical topics related to loyalty and customer engagement, setting goals together with different business stakeholders.
- Creating visualizations regarding insights on customer loyalty and presenting results to top management.
- Driving various analytical projects in close alignment with the data science team and business stakeholders to identify key drivers of customer loyalty.
- Digging deep into customer-specific datasets to uncover insights regarding customer behavior, loyalty program performance, and engagement trends.
- Periodic presentation of your findings to all key stakeholders, along with actionable recommendations for enhancing the loyalty program.
- Acting as the specialist of our loyalty program data, ensuring data integrity and comprehensive analysis.
Qualifications
- University degree in (business) mathematics, statistics, computer science, or business administration with an analytical focus.
- Advanced SQL knowledge and experience using Tableau, Power BI, or similar tools.
- Strong understanding of customer loyalty, retention strategies, and relevant KPIs, ideally within an e-commerce environment.
- Experience in data modeling with Python would be a plus.
- Familiarity with CRM systems and customer engagement platforms is preferred.
Additional Information
With more than 1,000 passionate professionals located across 10 European offices, we believe our success comes from working together and leveraging our international strengths. Expect to work in a hybrid environment, collaborating with colleagues in different locations remotely.
Our benefits:
20% discount in our zooplus shop
Internal and external training
Team events
28 vacation days and days off on 24th and 31st of December
Corporate rates at a local gym chain (Body & Soul)
Company mobile phone for work and personal use
Want to know more? Learn more about zooplus here, and check out our LinkedIn, Instagram, TikTok and YouTube to get a glimpse into the zooplus culture.
zooplus is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members.
#J-18808-Ljbffr
Senior Sales Analyst with SQL (all genders) Arbeitgeber: zooplus SE
Kontaktperson:
zooplus SE HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior Sales Analyst with SQL (all genders)
✨Tip Number 1
Familiarize yourself with the specific KPIs related to customer loyalty and retention strategies in e-commerce. Understanding these metrics will help you demonstrate your analytical skills and how they can directly impact zooplus's goals.
✨Tip Number 2
Brush up on your SQL skills, especially focusing on complex queries and data manipulation. Being able to showcase your proficiency in SQL during discussions will set you apart as a strong candidate for the role.
✨Tip Number 3
Prepare to discuss your experience with data visualization tools like Tableau or Power BI. Having concrete examples of how you've used these tools to present insights will be crucial in demonstrating your fit for the position.
✨Tip Number 4
Research zooplus's current loyalty programs and customer engagement strategies. Being knowledgeable about their existing initiatives will allow you to provide tailored recommendations and show your genuine interest in contributing to their success.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior Sales Analyst with SQL (all genders)
Tipps für deine Bewerbung 🫡
Understand the Company Culture: Familiarize yourself with zooplus's core values: Care, Courage, Openness, and Simplicity. Reflect these values in your application to show that you align with their mission of creating joy for pets and their parents.
Highlight Relevant Skills: Emphasize your advanced SQL knowledge and experience with data visualization tools like Tableau or Power BI. Make sure to mention any familiarity with CRM systems and customer engagement platforms, as these are crucial for the role.
Showcase Analytical Experience: Provide specific examples of past analytical projects you've led, particularly those related to customer loyalty and engagement. Use metrics and outcomes to demonstrate your impact on previous teams or companies.
Tailor Your CV and Cover Letter: Customize your CV and cover letter to reflect the job description closely. Use keywords from the job posting, such as 'data-driven decisions' and 'customer loyalty,' to ensure your application stands out to hiring managers.
Wie du dich auf ein Vorstellungsgespräch bei zooplus SE vorbereitest
✨Showcase Your SQL Skills
Since the role requires advanced SQL knowledge, be prepared to discuss your experience with SQL in detail. Bring examples of how you've used SQL to analyze data and drive business decisions, especially in relation to customer loyalty.
✨Understand Customer Loyalty Metrics
Familiarize yourself with key performance indicators related to customer loyalty and retention strategies. Be ready to discuss how these metrics can impact business growth and how you've applied them in previous roles.
✨Prepare for Analytical Challenges
Expect to face analytical scenarios during the interview. Practice explaining your thought process when tackling complex data problems, and be ready to demonstrate how you would approach analyzing customer behavior or loyalty program performance.
✨Communicate Insights Effectively
Since you'll be presenting findings to top management, practice summarizing complex data insights into clear, actionable recommendations. Use visual aids if possible, and be prepared to discuss how you would tailor your communication style to different stakeholders.
