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DISCLAIMER

This job description is a written statement of the essential characteristics of the job, with its principal accountabilities, incorporating a note of the skills, knowledge and experience required for a satisfactory level of performance. This is not intended to be a complete, detailed account of all aspects of the duties involved.

KEY RESPONSIBILITIES

The Principal Analytics Team lead is a new role that will support the newly created Product Data Domain teams. Working as part of our multi-disciplinary data teams, you will lead on the creation of clean, tested, well-modelled trusted datasets around our digital estate for use across the BBC, including managing a team focused on collecting data. Sitting between data engineering and data analysis you will get exposure to both areas across all product teams and focus on modelling unstructured data into meaningful insights. You will be building and maintaining data pipelines through best practices to support teams across the BBC in delivering quality products and content.
You will be leading on work to break down business requirements, designing the dimensional data models and build ETL pipelines using SQL to deliver data products that will power key value use cases across the BBC. The role requires strong skills in dimensionally modelling, conforming and integrating data from multiple sources, as well as experience in leading strong analytics engineering teams.
You will work alongside other product analytics developers, product data managers, data engineers and data operations managers, ensuring that all work delivers maximum value to the BBC. You will be leading on cross-product strategic projects and using cutting-edge technologies, surrounded by like-minded people. This work will align with and help inform the short and long-term data strategy. This role may involve line management responsibilities.

Role and responsibilities will comprise of:

• Planning workloads and delegating tasks in agile environment
• Assisting with the daily operation of the organisation, including support and incidents
• Able to provide feedback to team members, including constructive areas for development
• Leading on the design, implementation and maintenance of dimensional data models that promote a self-service approach to data consumption. This includes ensuring that data quality within the data warehouse is maintained throughout the data lifecycle.
• Define best practices in dimensional data modelling and database design and ensure standards are adhered to across the team.
• Mentoring, coaching and supporting other team members in developing data modelling skills through knowledge transfer.
• Automating data pipelines using proprietary BBC technology & Airflow.
• Using your expert knowledge of BBC products and their features to inform the design and development of data products and upskilling the team through this knowledge.
• Developing ways of working between product data domains and other data teams within product group.
• The creation of processes for data product development, ensuring these processes are documented and advocating their use throughout the organisation.
• Supporting analytics, data science and other colleagues outside the digital product area in managing projects and fielding queries.
• Ability to build and maintain strong working relationships where you might, as a specialist, have to manage the expectations of more senior colleagues.
• Working across mobile, web, television and voice platforms supporting Product Managers, Business Analysts and working closely with Software & Data Engineers.