|
Detailed JD (Roles and Responsibilities)
|
Job Description:
Digital & Partnerships Data Team – Data Specialist
About the Role:
This role offers an exciting opportunity to contribute to the delivery of data-driven value creation which is pivotal for the digital transformation of R&D. In this role you will:
- Collaborate with R&D business teams to gather requirements for onboarding new data sources onto the R&D Data Platform and/or support the use of platform data in delivering tools that democratise data access across the R&D community.
Develop deep expertise as part of the Data Platform team building knowledge of the data managed within the platform. You will provide support and guidance to the R&D user community and Ecosystem partners on accessing and using data from the R&D Connected Data Platform, including the data products, tools, and Dashboards.
Key skills:
- 2-3 years in a Data Analyst Role.
- Ability to understand, translate and document business requirements for transition to our Ecosystem of partners.
- Working knowledge in Azure Databricks, SQL, Python, R and Microsoft Power BI with a passion to learn new features on the platform such as AI tools (Databricks Genie, AI Assistant, CoPilot integration).
- Working Knowledge of Cloud based Big Data Platforms (e.g. Azure, AWS).
- Excellent Data Management skills with a good understanding of the Data Management process and reconciliation.
- Strong analytical skills, problem solver.
- Ability to lead, plan and deliver discrete data projects.
- Ability to work independently in an R&D focused environment.
- Team player who can give direction in multi-discipline teams.
- Strong accountability to deadlines.
- Ability to work under time pressure.
- Able to build and maintain relationships with business partners.
Key Responsibilities:
- Engage with Business Group and Functional teams to understand their needs and explain the capabilities of the platform, helping them gather and document requirements for projects.
- Provide input for use cases and user stories, including acceptance criteria.
- Validate requirements with project leads and development team prior to technical discussion and estimation process
- Liaise with the wider team (e.g. Connected Data, Data Science Community and Experimental Data Capture Team and R&D IT) to identify optimal solutions to meet requirements.
- Be the interface between R&D Business Projects and technical development team to ensure new capabilities are built as specified, ensuring any changes are clearly documented and signed off. Schedule & coordinate User Acceptance Testing and sign-off.
- Work with change team to develop training and communication material.
- Manage project documentation and ensure its stored appropriately.
- Provide consultancy / create business specific queries for ad-hoc analysis requests by R&D Data Scientist or provide guidance and support.
|
