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Data & Analytics
Permanent - Full Time
London, GB, W1A 1AA Birmingham, GB, B1 1AY Salford, GB, M50 2QH Newcastle-upon-Tyne, GB, NE991RN Glasgow, GB, G511DA
BBC PUBLIC SERVICE B'CAST
Job Closing Date: 26/11/2023
THE ROLE Job Description Band: DContract type: Permanent
Location: Newcastle / hybrid working 2 days in office
We're happy to discuss flexible working. Please indicate your choice under the flexible working question in the application. There is no obligation to raise this at the application stage but if you wish to do so, you are welcome to. Flexible working will be part of the discussion at offer stage.
- 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 competitive salary package, a flexible 35-hour working week for work-life balance and 26 days (1 of which is a corporation day) with the option to buy an extra 5 days, a defined pension scheme and discounted dental, health care, gym and much more.
To define and maintain how we design, conduct and analyse experiments across the BBC. This role is crucial in creating a culture of experimentation through consistent, evolving process that inform decision making. You will work with product teams across the BBC to create elegant solutions and templates that streamline operations and improve the ease to apply experimentation methodologies.
- Develop an understanding of our product, operations, systems and processes by interacting with product managers, engineering and business teams.
- Work with the Product, Design, Engineering and experimentation teams to improve ways to identify, prioritise, design, implement and own the backlog of experiments.
- Establish experimentation standards that promote consistency and best practices across the business, and communicate these standards effectively to the broader data team.
- Work with the experimentation team to develop methods and tools that increase the rigor and efficiency of our experimentation platform and analyses that are constructed using causal inference techniques.
- Partner with design and product to identify key questions and opportunities, and construct pragmatic agendas to guide hypothesis-based learning strategies to build an experimentation roadmap and answer these question.
- Work with the Data Platforms team to improve the processes, knowledge, and tools to support growing business demand for high-quality experimentation planning and execution.
- Advocate for experimentation depth, rigor, and consistency across the data and business teams, and coach data team members on the principles of effective experimentation and inference
- Maintain a high level view of the experimentation activities across all products: You will be responsible for identifying, reviewing and communicating the key problems the business is trying to solve through experimentation.
- Champion hypotheses definition and experimental design process across the product development lifecycle to capture all assumptions and decisions as hypothesis to test.
- Collaborating with cross-functional teams: You will work closely with designers, product managers, data analysts, and engineers to define experiment goals, set up tracking and measurement, and interpret results.
- Ensuring high-quality experiments: You will be responsible for ensuring that experiments are properly designed, executed, and analyzed, with the appropriate statistical rigor and validity.
- Analyzing and interpreting results: You will be responsible for analyzing experimental results, interpreting their implications, and presenting them to stakeholders.
- Communicating insights: You will be responsible for communicating insights and recommendations to stakeholders, including senior leadership, in a clear and actionable manner.
- Staying up-to-date with experimentation best practices: You will be responsible for staying up-to-date with the latest experimentation best practices and tools, and sharing your knowledge with the broader team.
- Driving a culture of experimentation: You will be responsible for driving a culture of experimentation, where everyone is encouraged to test assumptions and learn from their experiments.
Overall, your role as an experimentation lead will be critical in helping the product teams drive growth, optimize user experiences, and achieve business objectives through data-driven experimentation.
Are you the right candidate?- 7+ years experience with statistical analysis and tools like Excel, R, or Python
- 5+ years experience in designing experiments, including A/B testing and randomized controlled trials, and an understanding of experimental design principles
- Ability to formulate hypotheses and test them using statistical methods as well as testing tools
- Excellent communication skills, both written and verbal
- Problem-solving: strong problem-solving skills and ability to develop innovative solutions to complex problems
- Project management: experience in project management and ability to manage multiple experiments simultaneously
- Business acumen: understanding of business objectives and ability to align experimentation goals with these objectives
- Attention to detail: detail-oriented with a strong focus on accuracy when analyzing data and designing experiments
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.
BBC Group and Public Services, Broadcasting House, Portland Place, London, United Kingdom, W1A 1AA. BBC Studios Distribution Limited, company no: , registered address: 1 Television Centre, 101 Wood Lane, London, United Kingdom W12 7FA.