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Senior Marketing Data Analyst
2 months ago
About Abcam
Abcam is a leading provider of tools and solutions for the scientific community, dedicated to enabling faster breakthroughs in critical areas such as cancer, neurological disorders, infectious diseases, and metabolic disorders.
Our Mission
We believe that collaboration and innovation are key to making a greater impact on the world. We're seeking a highly skilled and motivated Senior Marketing Data Analyst to join our innovative team and contribute to our mission.
Job Summary
We're looking for a data-driven marketing expert to 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, as well as strong communication skills to convey complex findings to both technical and non-technical audiences.
Key Responsibilities
- Data Analysis and Interpretation
- Utilize GA4, Google BigQuery, and SQL to extract, analyze, and interpret large volumes of data related to user behavior, 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 behavior, 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.
Requirements
- 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.
What We Offer
We offer a flexible benefits package tailored to your unique needs, including 18 weeks fully paid maternity leave, 6 weeks fully paid paternity leave, highly flexible working, and more. Your development will be integral to your experience here, and you'll grow alongside other talented minds in a safe and inclusive environment.
