Marketing Database Analyst

As a Marketing Database Analyst at Elsevier, you will be responsible for improving the quality and quantity of the marketing database while integrating data for a comprehensive customer view. Your primary duties will include developing and maintaining datasets for marketing automation platforms, managing data quality and segmentation, and contributing to projects aimed at improving the database and targeting strategies.

To excel as a Marketing Database Analyst at Elsevier, you should possess proficient skills in SQL or Snowflake and demonstrate a strong ability to communicate complex data insights through compelling visuals. You will also need solid proficiency in Microsoft Office Suite and an understanding of database structures to effectively enable reporting, measurement, and analytics.

At Elsevier, we value personal growth and professional development for our Marketing Database Analysts. We provide a variety of online training courses and career roadshows to enhance your skills and knowledge. Our supportive environment also encourages participation in various internal communities and networks, all aimed at fostering your career advancement.

Elsevier promotes a healthy work/life balance for Marketing Database Analysts through flexible working hours. You have the power to adjust your work schedule to fit your productivity patterns and personal responsibilities, allowing you to maintain balance while delivering exceptional results for the company.

Working as a Marketing Database Analyst at Elsevier comes with a multitude of benefits, including a comprehensive pension plan, generous vacation entitlements, options for sabbaticals, and various wellbeing programs. We also offer a Dutch Share Purchase Plan and an Annual Profit Share Bonus to help our employees thrive both personally and professionally.

When discussing your experience with SQL or Snowflake, be sure to highlight specific projects where you used these tools for data analysis and reporting. Describe the types of datasets you managed, the insights you derived from your analyses, and how your work contributed to improved marketing strategies.

In your response, explain the procedures and checks you implement to maintain data quality, such as regular audits, data validation techniques, and monitoring data sources. Emphasize how these practices help enhance decision-making processes and improve audience segmentation.

Highlight your ability to create visual representations of data, such as graphs and dashboards, making complex information accessible. Also, mention your approach to storytelling with data and tailoring your communication style to fit the audience, ensuring that key insights are understood and actionable.

When addressing this question, outline a specific project where your analytical skills led to significant results. Discuss the project goals, your role, the tools and methods you used, and the outcome, reflecting on how it benefited the business and improved operational efficiency.

Explain your commitment to continuous learning by mentioning any courses, webinars, or industry conferences you attend. You can also reference relevant publications or online communities you follow to keep abreast of emerging trends and best practices.

In your answer, discuss your approach to prioritization, such as assessing project impact, deadlines, and resource availability. Highlight any tools or methods you use for project management that help you remain organized and efficient in delivering your work.

Emphasize the importance of teamwork and how you collaborate with other departments, such as IT and marketing. Discuss specific instances when you worked cross-functionally to achieve project goals, and the benefits of diverse perspectives in driving better results.

Share your enthusiasm for the company and its mission. Discuss how your values align with Elsevier’s commitment to improving health outcomes and advancing science, and explain how you believe your skills can contribute to this important work.

Reflect on specific challenges, such as data inconsistencies or tool limitations, and describe how you approached these issues. Highlight your problem-solving skills and any innovative solutions you applied to ensure the integrity and effectiveness of your analyses.

In your response, demonstrate your understanding of database enhancement techniques. Discuss how you would evaluate the current database structure, identify gaps or areas for improvement, and implement strategies for data integration and quality enhancement to support successful marketing initiatives.