Given the existing data engineering support, this role will focus on translating business requirements into actionable insights and measurement strategies. The ideal candidate will possess a strong understanding of marketing KPIs and the ability to derive meaningful conclusions from complex datasets, with a technical understanding to collaborate effectively with the Data Engineer.

Main Responsibilities

• Manage complex quantitative and qualitative media analysis projects to provide the teams with high-level insights and reporting on their (full-funnel) media performance, both on- and offline.
• Analyze and interpret mainstream, social media, and market research data sets to provide meaningful insights and trends.
• Develop KPI frameworks and digital analytics tagging recommendations to support the collection of the data needed for KPI reporting.
• Monitor day-to-day campaign performance and maintain in-depth understanding of our overall business and marketing objectives.
• Analyze large data sets to uncover trends and areas for campaign optimization.
• Set up measurement frameworks to measure and prove incremental value created from marketing activities (attributed).
• Build automated reports to track campaign (full funnel) performance and reflect on the progress towards objectives.
• Collaborate with the Data Engineer to ensure data pipelines meet the needs of marketing analysis and reporting.
• Take part in our Media Mix Modeling projects.
  • Focus on interpreting model outputs and translating them into actionable marketing strategies.
  • Work with stakeholders to define business questions and measurement objectives for the MMM.
• Organize training sessions for the business teams to understand the results, build trust, and drive adoption.

Requirements

• Exhibit strong analytic, technical, troubleshooting, and problem-solving skills.
• Experience with business intelligence software like Looker, Tableau, or similar tools.
• Ability to work in a team-oriented, fast-paced environment managing multiple priorities.
• Project management and organizational skills.
• Ability to communicate results of complex analytic findings to both technical and non-technical audiences.

Fluent in English, both written and spoken.

It Is a Bonus If You Have

• Familiarity with marketing attribution models.
• Experience in Looker Enterprise
• Experience in Google Cloud Platform including BigQuery
• Experience with incrementality testing frameworks.
• Familiar with database concepts, SQL & DBT.
• Knowledge of machine learning techniques.

Benefits

• 25 Days of Annual Leave: As a full-time employee, you will receive 25 days of paid holiday each year, with the flexibility to buy or sell up to 4 additional days to meet personal needs.
• Hybrid Work Model: We offer a flexible hybrid work environment, enabling you to seamlessly balance office and remote work to enhance productivity and work-life balance.
• Work From Abroad: Take advantage of the opportunity to work remotely from abroad for up to 2 weeks annually.
• International Work Environment: Join a dynamic, global team that fosters collaboration and cultural diversity, providing you with a rich and inclusive professional experience.
• Partial Travel Allowance: Benefit from a partial travel allowance to support your commuting costs, ensuring your journey to and from work is more affordable.
• Hunkemöller Academy: Gain access to our Hunkemöller Academy, offering a wide range of professional development programs to support your career growth and skill enhancement.
• Employee Discounts: Enjoy a 25% discount on all company products, allowing you to access our offerings at a reduced price
   

Apply now with your CV or LinkedIn!

We are not looking to work with recruitment agencies! Any unsolicited sharing of profiles will be considered a NO FEE applicant!