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For Companies At a Glance
- Tasks: Analyse ecommerce data to drive insights and optimise user experience.
- Company: Join Abcam, a leader in scientific tools for breakthroughs in critical health areas.
- Benefits: Enjoy flexible working, competitive salaries, and generous parental leave.
- Why this job: Be part of a collaborative team making a real impact on global health.
- Qualifications: Bachelor's or Master's in Data Science; expertise in GA4, SQL, and data visualisation required.
- Other info: Embrace a culture that celebrates diversity and supports your personal growth.
The predicted salary is between 36000 - 60000 £ per year.
Company Description
For over 20 years, Abcam has been providing tools the scientific community needs to enable faster breakthroughs in critical areas like cancer, neurological disorders, infectious diseases, and metabolic disorders. We believe that to continue making progress, we need to work together in new ways. We need your own unique perspective as well as this of our people to make an always greater impact on the world. This community needs people like you: dedicated, agile and above all audacious so we can truly bring progress forward.
Job Description
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.
Qualifications
- 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.
Additional Information
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.
Senior Marketing Data Analyst employer: Abcam
Contact Detail:
Abcam Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Marketing Data Analyst
✨Tip Number 1
Familiarise yourself with the latest features and updates in Google Analytics 4 (GA4) and Google BigQuery. Being well-versed in these tools will not only boost your confidence during interviews but also demonstrate your commitment to staying current in the field.
✨Tip Number 2
Network with professionals in the ecommerce and data analysis sectors, especially those who have experience with Abcam or similar companies. Engaging in conversations can provide valuable insights and potentially lead to referrals that could enhance your application.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully used statistical analysis and A/B testing to drive results. Having concrete examples ready will help you illustrate your expertise and problem-solving skills effectively during the interview.
✨Tip Number 4
Showcase your ability to communicate complex data findings clearly. Practice explaining your past work to non-technical audiences, as this skill is crucial for collaborating with cross-functional teams at Abcam.
We think you need these skills to ace Senior Marketing Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, particularly with Google Analytics 4, Google BigQuery, and SQL. Use specific examples that demonstrate your ability to derive actionable insights from ecommerce data.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data-driven marketing and how your skills align with the responsibilities outlined in the job description. Mention your experience with A/B testing and predictive modelling to showcase your fit for the role.
Showcase Your Technical Skills: Clearly list your technical skills, including proficiency in data visualisation tools like Tableau or Power BI, and programming languages such as Python or R. This will help demonstrate your capability to handle the analytical demands of the position.
Prepare for Potential Questions: Anticipate questions related to your previous projects involving data analysis and how you communicated complex findings to non-technical stakeholders. Be ready to discuss specific examples that highlight your problem-solving skills and independence.
How to prepare for a job interview at Abcam
✨Showcase Your Technical Skills
Make sure to highlight your expertise in Google Analytics 4, Google BigQuery, and SQL during the interview. Be prepared to discuss specific projects where you've successfully used these tools to derive insights and drive decisions.
✨Prepare for Data Interpretation Questions
Expect questions that assess your ability to interpret data and generate actionable insights. Practice explaining complex data findings in simple terms, as you'll need to communicate effectively with non-technical stakeholders.
✨Demonstrate Your Problem-Solving Abilities
Be ready to discuss examples of how you've tackled challenges in previous roles. Highlight your independent work style and how you approach problem-solving, especially in relation to ecommerce data analysis.
✨Familiarise Yourself with A/B Testing
Since A/B testing is a key responsibility, brush up on your knowledge of designing and analysing tests. Be prepared to share any relevant experiences and the outcomes of tests you've conducted in the past.
