Senior Marketing Data Analyst

We are seeking a highly skilled and motivated Senior Marketing Data Analyst to join our innovative team. Sitting in our performance marketing team, you will play a crucial role in leveraging data to drive insights and recommendations for our ecommerce business. The ideal candidate will have expertise in Google Analytics 4 (GA4), Google BigQuery, SQL, and statistical analysis. You must also demonstrate a high level of independence and self-sufficiency, capable of working autonomously to analyze, interpret, and derive actionable insights from ecommerce data.

Responsibilities:

Data Analysis and Interpretation:

• Utilize GA4, Google BigQuery, and SQL to extract, analyze, and interpret large volumes of data related to user behaviour, website performance, and ecommerce transactions.
• Develop and implement statistical models to uncover trends, patterns, and opportunities for optimization.

Insights and Reporting:

• Generate actionable insights and present findings to cross-functional teams, providing data-driven recommendations for improving the ecommerce experience.
• Create and maintain regular reports and dashboards to monitor key performance indicators (KPIs) and track the impact of digital marketing campaigns.

A/B Testing and Experimentation:

• Design, implement, and analyze A/B tests to assess the effectiveness of changes to the ecommerce platform.
• Collaborate with UX/UI teams to optimize user experience based on data-driven insights.

Forecasting and Predictive Modelling:

• Develop forecasting models to predict customer behaviour, sales trends, and other key ecommerce metrics.
• Work on predictive modelling projects to anticipate future business needs and challenges.

Collaboration and Communication:

• Collaborate with cross-functional teams, including marketing, product management, and IT, to align data science initiatives with business objectives.
• Communicate complex findings and insights to non-technical stakeholders in a clear and concise manner.

• Bachelor's or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
• Proven experience in digital ecommerce data science, with a focus on GA4, Google BigQuery, SQL, and statistical analysis.
• Strong proficiency in data visualization tools such as Tableau or Power BI.
• Experience with programming languages such as Python or R for data analysis and manipulation.
• Excellent problem-solving skills and the ability to work independently as well as part of a collaborative team.
• Strong communication skills with the ability to convey complex findings to both technical and non-technical audiences.

We know that when it comes to benefits, no one size fits all. Flexibility and choice matter which is why in addition to market competitive salaries, we offer you a flexible benefits package which is tailored to your unique needs and support your financial, physical and emotional wellbeing. This includes 18 weeks fully paid maternity leave, 6 weeks fully paid paternity leave as well as highly flexible working and much more. Besides, your development will be integral to your experience here. You will grow alongside other talented minds, in ways you may often find unexpected.

When people come together, incredible things happen. Here you’ll work in a safe environment where you can be who you truly are. We’ll champion and celebrate your uniqueness throughout your journey with us. This is how we excel at partnering with the scientific community no matter the challenge, ultimately helping solve the world’s most critical diseases. Find out more about Diversity & Inclusion at abcam.

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