Senior Analytics Strategist
hace 4 semanas
About the Role
As a Senior Analytics Strategist at Alexion Pharma Spain, you will play a critical role in shaping the insights strategy that supports our business objectives. You will be responsible for leading the development and implementation of BI and Analytics infrastructure and tools to extract insights from data. Your advanced expertise in Analytics will be instrumental in designing, developing, and deploying production-grade analytics solutions at scale. Your strategic insights will drive value from our data, influencing business decision-making and contributing to the company's growth and optimization.
Key Responsibilities
- Leading delivery teams to identify, prioritize, and solve complex business problems using advanced analytics techniques.
- Architecting and designing sophisticated analytics solutions that meet business requirements, aligning with the overall strategic goals of the company.
- Communicating effectively with stakeholders and senior management, providing strategic updates on the progress of BI and Analytics projects and their impact on business objectives.
- Evolving the analytical platforms, tools, and methods used within the organization to continuously enhance analytical capabilities.
- Participating and providing technical leadership in all phases of a project from discovery and planning through implementation and delivery, ensuring alignment with strategic goals.
Requirements
- Master's degree in Computer Science, Business, Statistics, Mathematics, or a related field.
- 6+ years of experience in developing and deploying BI and Analytics solutions in production environments.
- Detail-oriented, self-starter, able to work both independently and in a team environment.
- Demonstrated experience in strategic planning and execution of Analytics initiatives.
- Proven ability to manage and lead delivery teams effectively, with experience in leading technical teams and individuals across geographies.
- Experience in stakeholder engagement and management, including the ability to effectively communicate and align strategy with stakeholders and senior management.
- Hands-on experience with BI tools such as PowerBI, Tableau, or QlikSense, and data warehousing solutions like Redshift, BigQuery, or Snowflake.
- Experience working with data analytics tools like R, Python, and SQL.
- Proficiency in BI best practices, including data extraction, transformation, loading (ETL), and monitoring.
- Experience in data science and ML methodologies.
- Experience with cloud computing platforms, such as AWS, Azure or GCP.
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