Commercial Data Engineer
4 weeks ago
Job Title: Commercial Data Engineer
Duration: 6 months contract
The Commercial Data Engineer is responsible for supporting the Advanced Analytics team to build and deliver value from data assets for the Commercial organization through effective database management, computer language applications, and data science knowledge and skills.
You will support the Advanced Analytics team with documentation, automations, setting up and deployment of machine learning prototypes and web applications. Also, you will play a meaningful role in ensuring the optimal set up and execution of data projects that support the Commercial organization with delivering outcomes that deliver more benefits for more patients, society, and Roche faster.
The OpportunityTransforming, testing, visualizing, and documenting analytic data products.
- Identify, analyze and interpret trends or patterns in complex data sets.
- Collaborate multi-functionally with data & insights peers and business partners to discover high impact opportunities and deliver robust solutions to enable self-service analytics.
- Participate as a data professional in an agile team to deliver robust and reliable analytics to business stakeholders as well as participate in discovery sessions, iterative refinement cycles with technical team, and sprint planning.
- Develop high-impact data layers, user interfaces, and other tools to enable self-service analytics.
- Provide product ownership of data products and analytical solutions.
You hold a Bachelor Degree in Computer Science, Informatics (or equivalent) with 2 years of relevant experience in healthcare analytics.
You have an investigative and curious mindset and easily understand business rules and application to data as well as having exceptional communication and collaborative skills.
You have experience working with databases for analytic solutions (Tableau, Snowflake, AWS Redshift, SQL Server) as well as being highly experienced working with data and analytic report interpretation. You are an astute Python programmer and have experience with Git.
You demonstrate experience with building and maintaining semantic layers and self-service visualization technologies (Tableau, Power BI, Looker, Qlik, SAP Analytics Cloud etc.) for non-technical end-user use.
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