Principal Product Analytics Developer

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Full time
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Job offered by: ENGINEERINGUK
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Category: IT & Technology
You will need to login before you can apply for a job. Sector: Media and Publishing Role: Professional Contract Type: Permanent Hours: Full Time 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 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. If you need to discuss adjustments or access requirements for the interview process please contact reasonable.adjustments@bbc.co.uk. 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

The 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. Key Responsibilities

The Principal Analytics Developer 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. Role and responsibilities will comprise of: Planning workloads and delegating tasks in an agile environment. Assisting with the daily operation of the organisation, including support and incidents. Providing 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. Defining best practices in dimensional data modelling and database design and ensuring standards are adhered to across the team. Mentoring, coaching and supporting other team members in developing data modelling skills. Automating data pipelines using proprietary BBC technology & Airflow. Developing ways of working between product data domains and other data teams within the product group. Supporting analytics, data science, and other colleagues outside the digital product area in managing projects and fielding queries. Are you the right candidate?

When it comes to analytics developers at the BBC we look for these skills: Technical Skills

At least 5 years' experience in a Data Analyst, Data Modelling, Data Engineering or Analytics Engineering role. Proven experience in dimensionally modelling complex data. Excellent SQL skills for extracting and manipulating data. Good knowledge of analytical database systems (Redshift, Snowflake, BigQuery). Some experience coding in R or Python. Teamwork and Stakeholder Management

Ability to listen to others' ideas and build on them. Ability to clearly communicate to both technical and non-technical audiences. 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 are committed to equality of opportunity and welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief.

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