Marketing Analyst with SQL (all genders)

As a Marketing Analyst with SQL at zooplus, you'll act as the primary analytics expert for marketing topics, develop reporting capabilities, and conduct regular analyses. You'll work on both central and local manager projects, applying advanced statistical methods to derive insights. Additionally, planning new tracking initiatives and hosting training sessions will be part of your role, ensuring knowledge transfer across the team.

To qualify for the Marketing Analyst with SQL role at zooplus, you need at least 3 years of relevant experience in fields such as Marketing Analysis or SEO. A Bachelor's or Master's degree in areas like Business, Information Systems, or Data Science is essential. Strong SQL skills, advanced Excel capabilities, and a good grasp of digital marketing landscapes are also crucial for success in this role.

The Marketing Analyst's role at zooplus is vital for delivering insightful recommendations that enhance marketing efficiency, customer insights, and competitive advantage. By leveraging large datasets, your analyses will directly influence strategic decisions, helping to fulfill our mission of bringing joy to pets and their owners across Europe.

As a Marketing Analyst with SQL at zooplus, you can expect a range of fantastic benefits, including a 20% discount in our shop, 28 vacation days, corporate gym rates, and a hybrid work setup. Additionally, you'll have access to internal and external training and resources to support your professional growth in the analytics field.

In the Marketing Analyst role at zooplus, familiarity with SQL for database management is crucial. You should also be experienced with analytical tools like Tableau, PowerBI, or Qlikview, and knowledge of Adobe Analytics or Google Analytics is a plus. Skills in Python for data analysis can further enhance your contributions to our marketing initiatives.

When answering this question, focus on specific projects where you utilized SQL to uncover insights or drive marketing decisions. Highlight your proficiency with database management and how it contributed to reporting and analysis efforts.

Discuss specific statistical methods such as regression analysis or A/B testing that you've used in past projects. Be sure to explain the context and the decisions that were influenced by your findings.

Share your process for designing dashboards, including how you determine key metrics and visualizations that are most useful for stakeholders. Mention any tools you use and how you tailor your reports to meet the needs of different audiences.

Discuss specific resources, websites, or communities you follow to keep abreast of new developments in digital marketing and analytics. Mention any certifications or courses you have undertaken to enhance your knowledge.

Describe a situation where your analytical work directly led to improved marketing outcomes. Include the data you analyzed, the insights you gained, and the impact these had on the marketing strategy.

Share your favorite data visualization tools, such as Tableau or PowerBI, and explain why you find them effective. Discuss your experience creating visualizations that clearly communicate data findings to a non-technical audience.

Employ a collaborative approach, stressing the importance of communication. Discuss how you prioritize requests based on urgency, importance, and alignment with overall business goals.

Emphasize that understanding customer behavior and preferences is crucial for tailored marketing strategies. Share how you've translated customer insights into actionable marketing tactics in your experience.

Discuss how you've successfully adapted to working in both remote and in-house settings, highlighting your communication strategies and time management skills that ensure productivity and collaboration.

Outline key performance indicators (KPIs) you typically track, such as conversion rates or customer engagement metrics. Explain how you analyze and report on these metrics to assess campaign effectiveness.