Marketing Data Analyst

Objective of the role (why)

As a Data Analyst you will play a critical role in providing data-driven insights to inform and support marketing decisions. You need to translate complex data into actionable insights for marketing and sales teams. You will collaborate closely with paid media, product management, engineering and design teams to analyse user behaviour, assess product & campaign performance and help guide the most effective lead generation strategy. Your will need to leverage data to improve the lead generation campaigns, identify new business opportunities, optimize product & campaign features and drive overall business success.

Areas of responsibility (what)

Analyse and translate data into insights: Understands user behaviour, campaign performance, identifies trends and generates actionable insights that guide marketing and commercial decisions.

Define, monitor and track KPI’s: For lead generations campaigns and our commercial platforms ensuring the lifetime value and identify improvements.

Create dashboards and reports to visualize campaign performance for stakeholders.

Integrate data from multiple sources, including Google Analytics, ad platforms, CRM, and internal databases.

Ensure data integrity and consistency across CRM, marketing automation and analytic tools.

Develop predictive analytics and attribution modelling to improve targeting and budget allocation.

Runs A/B tests: Designs, implements and analyses A/B test and other experiments to validate hypotheses and measure the impact of changes.

Works independently on assigned (and self-assigned) tasks and takes a

leading role in their area.

Stakeholder management: works with different stakeholders like data engineering, product owners, direct retail director, paid media team & CMO.

Competencies (how)

• Open Communication: We foster an environment where communication flows freely, encouraging open dialogue at all levels. Everyone's ideas and opinions are valued, contributing to a culture of collaboration and innovation.
• Learning from Mistakes: We embrace the notion that mistakes are opportunities for growth. Our team understands that taking calculated risks is essential for progress. When mistakes occur, we view them as chances to learn, adapt, and continuously improve.
• Tight-Knit Collaboration: We're committed to building a close-knit team that operates cohesively. Through team-building activities, shared experiences, and mutual support, we strengthen our bonds and enhance our collective capabilities.
• Stimulating Creativity: Creativity is the lifeblood of our team. We encourage unconventional thinking and diverse perspectives, inspiring novel solutions and imaginative approaches to challenges. Our environment nurtures the spark of creativity in each team member.
• Personal Growth Emphasis: We recognize that individuals' growth contributes to the overall success of our team. We provide opportunities for professional development, skills enhancement, and personal growth. As our team members evolve, so does the entire team's potential.

Job requirements (who)

• Bachelor’s or Master’s degree in Statistics, Data Science, Economics, Mathematics, Computer Science or any related field.
• 3 – 5 years of work experience in Data Analytics, Business Intelligence or a related role within a technology environment.
• Strong proficiency in SQL, Excel, and data visualization tools (Tableau, Power BI, Looker, or similar).
• Experience with Google Analytics, Google Tag Manager, and tracking implementations.
• Experience with A/B testing frameworks and tools (e.g. Google Optimize)
• Knowledge of attribution models and marketing mix modelling (MMM).
• Experience with big data platforms (Snowflake, BigQuery, Azure).
• Experience with server-side tracking and privacy-first data collection.
• Familiarity with digital advertising platforms (Google Ads, Meta Ads, LinkedIn Ads, etc.).
• Understanding of CRM systems (Salesforce) and marketing automation tools.
• Translating complex data into actionable insights for marketing and sales teams.
• Excellent problem solving skills with the ability to break down complex questions into actionable analysis.