*Salary is £45,000-£47,500
We are a global, Life Sciences focused recruitment company founded in London, with offices now in New York City, San Francisco, Berlin, San Diego, and Raleigh. Our client’s range across the top Medical Device companies, to Pharma, Biotech and Contract Research Organizations (CROs) as well.
The Data Analyst is the go-to person for all things data at Meet. They will analyse our CRM and internal processes and utilise consultant insight and external sources to create commercial opportunities. They will work closely with the success and marketing teams to provide the insight and stories to create compelling and engaging content on a continuous basis.
Responsibilities
Sales Enablement:
- Segment, analyse and understand data across Bullhorn and external platforms including LinkedIn Talent Insights and GlobalData and reorganise into a digestible format
- Analyse local, national, and global trends in the life sciences and the companies within that impact Meet and the industry
- Use statistical tools to identify, analyse, and interpret patterns and trends that could be helpful in the decision-making process to engage with candidates or clients
- Preparing insight reports that outline opportunities for engagement with candidates and clients
- Work with the marketing team to produce collateral and content on a regular basis
Exec Reporting
- Work with the Exec team to contribute to monthly board backs in the form of trends and insights of financial performance
- Produce six-monthly updates around Meet’s Quality of Earnings
- Perform analysis to assess quality and meaning of data
Learning & Development
- Establish, maintain and evolve a framework of behaviours, triggers and traits that are essential to the recruitment process so that consultant performance can be assessed, compared and improved
Key Skills
- Highly numerate with advanced Excel skills and experience in tools such as Power BI or Tableau for data analysis and visualization
- Basic understanding of SQL for querying databases
- Familiarity with Python or R for data manipulation and analysis.
- Understanding of database structures and experience with CRM systems
- Knowledge of basic statistical methods to analyze recruitment trends and performance metrics
- Ability to clean, preprocess, and validate data to ensure accuracy and reliability.
Interested in learning more? Reach out for a confidential conversation!
E: Jonathan.arth@meetlifesciences.com