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Principal Product Analytics Developer /Team Lead, Newcastle
Job Band
Job number 20622
Job Band: D
Starting salary: up to £71,500 depending on relevant skills, knowledge and experience. The expected salary range for this role reflects internal benchmarking and external market insights.
Contract Type: Continuing
Location: Newcastle, Hybrid with at least one day a fortnight on site.
Excellent career progression - the BBC offers great opportunities for employees to seek new challenges and work in different areas of the organisation.
Unrivalled training and development opportunities - our in-house Academy hosts a wide range of internal and external courses and certification.
Benefits - We offer a negotiable salary package, a flexible 35-hour working week for work-life balance and 25 days annual leave with the option to buy an extra 5 days, a defined pension scheme and discounted dental, health care and gym.
Interview Process
This is a 2-stage interview process. Both are virtual for shortlisted candidates; the first is a 30-min technical interview based on your experience, the second is a 1-hour interview focusing on a take home exercise, competency, and values-based questions. Interviews will begin the week commencing 3rd February 2025.
Introduction
Product Group is responsible for the design, development, and delivery of the BBC's portfolio of digital products including iPlayer, Sounds, Bitesize, and the BBC News and BBC Sport apps and website. Our portfolio is diverse and contains some of the largest and highest-profile properties on the UK internet. Data is fundamental to our future: both in helping us prioritise and shape our work and in creating richer, more personalised experiences for our audiences.
Key Responsibilities
The Principal Analytics Team lead is a new role that will support the newly created Product Data Domain 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. You will be building and maintaining data pipelines through best practices to support teams across the BBC in delivering quality products and content.
Role and responsibilities will comprise of:
1. Planning workloads and delegating tasks in agile environment.
2. Assisting with the daily operation of the organisation, including support and incidents.
3. Providing feedback to team members, including constructive areas for development.
4. Leading on the design, implementation and maintenance of dimensional data models.
5. Defining best practices in dimensional data modelling and database design.
6. Mentoring, coaching and supporting other team members in developing data modelling skills.
7. Automating data pipelines using proprietary BBC technology & Airflow.
8. Using your expert knowledge of BBC products to inform the design and development of data products.
9. Supporting analytics, data science and other colleagues outside the digital product area.
10. Working across mobile, web, television and voice platforms.
Are you the right candidate
Technical Skills
1. At least 5 years' experience in a Data Analyst, Data Modelling, Data Engineering or Analytics Engineering role.
2. Proven experience in dimensionally modelling complex data.
3. Experience of designing STAR Schemas.
4. Excellent SQL skills for extracting and manipulating data.
5. Good knowledge of analytical database systems.
6. Some experience coding in R or Python.
Teamwork and stakeholder management
1. Ability to listen to others' ideas and build on them.
2. Ability to clearly communicate to both technical and non-technical audiences.
3. Ability to collaborate effectively.
4. Strong attention to detail.
About the BBC
The BBC is committed to redeploying employees seeking suitable alternative employment within the BBC for different reasons and they will be given priority consideration ahead of other applicants. We care about how we do things and value diversity. We welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. #J-18808-Ljbffr