[CPZ067] Senior Manager, Data Analytics And Insights

**Senior Manager, Data Analytics and Insights**

Location: Barcelona, ES

Reports To: Associate Director, Data Standards, Integration & Innovation

This is what you will do:

1. You will be responsible for:
2. Performing data wrangling, combining, transformation, cross-linkage, text mining etc. to achieve new datasets and data assemblies that enable specific data-scientific research workflows to be conducted to a high-quality standard and in an accelerated manner.
3. Advising teams on how best to interpret and utilize outputs to reduce redundancies and create efficiencies in data collection and process.
4. Designing data preparation workflows and define outputs (e.g., proposed data models and modes of access) and success criteria for projects.
5. Supporting an agile, value-focused culture, and providing input into technical projects sought at improving data-science tools and infrastructure.
6. Utilizing predictive analytics to identify the likelihood of future outcomes.
7. Working closely with key business stakeholders to understand business initiatives and how data insights can drive and measure progress.
8. Using technical, creative problem-solving and good development practice skills to achieve successful outcomes.

You will need to have:

• Bachelor’s or advanced degree in Computer Science or related field with at least 5 years of experience.
• Data science background (e.g., Python, SAS, SQL, Tableau, etc.).
• Experience in data analysis profiling, investigating, interpreting, and detailing data requirements, e.g., data modeling techniques and hands-on modeling experience.
• Experience building dashboards and reports, and creating deep-dive analysis to influence business decisions.
• Effective verbal and written communication, influencing, and partnering skills.
• Knowledge of the clinical trial process.
• The duties of this role are generally conducted in an office environment. As is typical of an office-based role, employees must be able to use a computer, engage in communications via phone, video, and electronic messaging, engage in problem-solving and non-linear thought, analysis, and dialogue, collaborate with others, maintain general availability during standard business hours.

We would prefer for you to have:

• Knowledge of applied mathematical, machine learning, and AI techniques and workflows.
• Good understanding of project management techniques and methods.
• Knowledge of statistics.
• Experience of agile working practices.

#J-18808-Ljbffr