Data Analyst

at  Abcam

For over 25 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, each bringing our own unique perspectives to make an impact on the world. This community needs people like you: dedicated, agile and above all audacious so we can truly drive science forward.
The Data Analyst is responsible for analyzing data across business areas and quantifying the impact of AI initiatives in clear reports to enable data-informed strategy and improvements, enhancing customer engagement and directly driving sales.
This position reports to the AI Sales Integration Manager and is part of the Data Science and AI Team located in Cambridge, UK, and will be on-site. At Abcam, our vision is to be the most influential life sciences company for researchers worldwide.
This role will initially be a 12-month fixed-term contract with the possibility of extension.

THE ESSENTIAL REQUIREMENTS OF THE JOB INCLUDE:

• BSc or MSc in a quantitative discipline or field related to Business Analytics.
• Strong experience in data analytics, with a track record of creating impactful visualizations, dashboards, and reports.
• Proficiency with data visualizations tools (at least one of Tableau, PowerBI or D3) and analytical tools (Python or Excel).
• Strong business understanding and ability to translate data insights into strategic recommendations and actions.
• Excellent communication and collaboration skills to work effectively with the Delivery Manager, Data Engineers, Data Scientists, AI Engineers, and Data Governance.

It would be a plus if you also possess previous experience in:

• Commercial awareness and understanding of Sales and Marketing strategies.

If you would like to be a part of a collaborative, international team and a fast-paced, growing business with a focus on AI, please do apply!
At Danaher we bring together science, technology and operational capabilities to accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. Our global teams are pioneering what’s next across Life Sciences, Diagnostics, Biotechnology and beyond. For more information, visit www.danaher.com.
At Danaher, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.
At Danaher we bring together science, technology and operational capabilities to accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. Our global teams are pioneering what’s next across Life Sciences, Diagnostics, Biotechnology and beyond. For more information, visit www.danaher.com.
At Danaher, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.

• Apply business understanding and analytical skills to translate data into actionable insights and strategies.
• Analyze the business and quantitatively describe and explain ways to improve the impact of AI initiatives on business performance.
• Create visualizations and interactive dashboards to investigate existing data and AI outputs, to inform strategy and identify gaps and opportunities in data and business processes to increase impact.
• Ensure data cleanliness, accuracy, relevance, and support Data Governance in data improvements.
• Collaborate across teams to drive AI innovation, while expanding your expertise within an experienced, inclusive, and international team.