At a Glance
- Tasks: Lead data analysis and reporting for workforce insights at the BBC.
- Company: Join the BBC, a renowned media organisation committed to innovation and diversity.
- Benefits: Enjoy hybrid working, flexible hours, and a supportive culture.
- Other info: Contract role with a salary range of £68,000-£78,000 based on experience.
- Why this job: Make a real impact with data while collaborating in a high-performing team.
- Qualifications: Strong analytical skills and experience with data tools like Tableau and SQL required.
The predicted salary is between 58000 - 78000 £ per year.
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Job Details
Salary range: £68,000-£78,000 dependent on experience
Job Requisition ID: 26597
Job Closing Date: 17/08/2025
Job Details
Salary range: £68,000-£78,000 dependent on experience
Contract type: 12 month FTC / Attachment
Location: Birmingham, OR London, OR Salford, Or Newcastle Or Glasgow (hybrid working, 1-2 days in office)
We’re happy to discuss flexible working. If you’d like to, please indicate your preference in the application – though there’s no obligation to do so now. Flexible working will be part of the discussion at offer stage.
Freelancers
Freelancers are eligible to apply for an internal role if they are on a Worker Contract and they have worked continuously for 6 months. If they have worked for less than 6 months continuously or have a break of 3 weeks or more between engagements, they must seek Divisional HR approval to apply for an internal role prior to submitting an application.
Purpose Of The Role
People Analytics & Insights within HR are playing a pivotal role in enabling the modernisation of data capabilities and intelligence at the BBC. Developing and implementing the systems, processes and data which underpin our resource scheduling is a key, BBC-wide program of work.
This team’s strategy is to enable our people, managers, and leaders across the BBC to understand and enhance the richness of our talented, diverse and representative workforce, through the delivery of trusted, valuable and insightful data products.
The role of Senior Principal Data Analyst is pivotal in transforming the coverage and interoperability of our workforce analytics, built through effective partnerships and enterprise thinking, in order to deliver an extended suite of data and insight products alongside our existing capabilities. Excellent stakeholder management skills will enable delivery of a high-value portfolio of work, in a collaborative way.
We offer a warm welcome with full support settling in and foster a culture where everyone has an opportunity to succeed. We’re deeply proud of our values, which are intrinsic to the way we behave every day. We take them seriously because we want our culture to thrive. We want people to really enjoy working with us and get a buzz from knowing that what they are doing is making a difference and enhancing people’s lives.
Your Key Responsibilities And Impact
As a Senior Principal Data Analyst within the People Analytics team, you will have a role in discovery, definition, design and implementation of operational and analytical reporting capabilities across the full resource scheduling lifecycle. Working with a project team and supported by a Principal Data Analyst in designing and delivering the strategic and operational data capability, to be integrated with existing People Analytics and Insights capabilities.
You will be engaged in all aspects of architecture, design, specs, tests, development, and delivery. As a QA advocate, you will be reviewing new features against existing products and services to ensure consistency and interoperability of data and systems.
You’ll support the Head of Data in designing an agile, product-centric analytics suite and take responsibility for implementation and adoption. You’ll partner with colleagues in technology and systems, to ensure process, system and data outcomes are effectively planned and delivered; Working collaboratively map delivery outcomes against HR capabilities, as well as identifying opportunities to improve existing HR data capabilities enterprise-wide.
If you’re passionate about data and analytics, enjoy problem-solving and want to work in a high-performing team doing complex and critical work, then we should talk!
Your Skills And Experience
We focus on hiring for potential at the BBC, so the main requirement for the position is a strong analytical mindset.
Some Of The Things We Love
- Strong experience of data analysis, modelling and report design, with data and analytics tooling experience & capabilities such as Tableau, PowerBI, Python, SQL
- Experience of data management principles, documentation, and delivery, including data mapping, metrics governance and cataloguing
- Proven experience of testing in in a product development environment (e.g. back-end, integration, regression testing and UAT support)
- Knowledge of architecture domains, across data, solution and technical disciplines
- Used to working in an environment using multiple sources and target data repositories
- Experience working with Agile methodologies, ensuring delivery of key user stories and product outcomes
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.
Please note: If you were to be offered this role, the BBC will conduct Employment screening checks which include Reference checks; Eligibility to work checks; and if applicable to the role, Safeguarding and Adverse media/Social media checks. Any offer made is conditional on these checks being satisfactory.
For Any General Queries, Please Contact
Redeployment
The BBC is committed to redeploying employees seeking suitable alternative employment within the BBC and they will be given priority consideration ahead of other applicants. Priority consideration means for those employees seeking redeployment their application will be considered alongside anyone else at risk of redundancy, prior to any individuals being considered who are not at risk.
Seniority level
Seniority level
Not Applicable
Employment type
Employment type
Contract
Job function
Job function
Information TechnologyIndustries
Online Media
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#J-18808-LjbffrSenior Data Analyst – Workforce in Salford employer: JIM - Jobs In Manchester
At the BBC, we pride ourselves on being an exceptional employer, offering a vibrant work culture that champions diversity and innovation. With flexible working arrangements and a strong commitment to employee development, we empower our team members to thrive in their roles while making a meaningful impact on society through data-driven insights. Join us in Birmingham, London, Salford, Newcastle, or Glasgow, where you will be part of a collaborative environment that values your contributions and fosters professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst – Workforce in Salford
✨Tip Number 1
Familiarise yourself with the specific data tools mentioned in the job description, such as Tableau, PowerBI, Python, and SQL. Having hands-on experience or projects showcasing your skills with these tools can set you apart during discussions.
✨Tip Number 2
Highlight your experience with Agile methodologies, as this is crucial for the role. Be prepared to discuss how you've successfully delivered key user stories and product outcomes in previous positions.
✨Tip Number 3
Prepare examples of your stakeholder management skills. The role requires excellent collaboration, so think of instances where you've effectively partnered with others to achieve a common goal.
✨Tip Number 4
Research the BBC's values and culture, as they are important to the organisation. Be ready to articulate how your personal values align with theirs and how you can contribute to fostering a positive work environment.
We think you need these skills to ace Senior Data Analyst – Workforce in Salford
Some tips for your application 🫡
Understand the Role:Before applying, make sure to thoroughly read the job description for the Senior Data Analyst – Workforce position. Understand the key responsibilities and required skills, such as experience with data analysis tools like Tableau and PowerBI.
Tailor Your CV:Customise your CV to highlight relevant experience and skills that align with the job requirements. Emphasise your analytical mindset and any specific projects where you've successfully used data analytics to drive results.
Craft a Compelling Cover Letter:Write a cover letter that showcases your passion for data and analytics. Mention how your background fits the role and express your enthusiasm for contributing to the BBC's People Analytics team.
Highlight Relevant Experience:In your application, be sure to include specific examples of your experience with data management principles, testing in product development environments, and working with Agile methodologies. This will demonstrate your suitability for the role.
How to prepare for a job interview at JIM - Jobs In Manchester
✨Showcase Your Analytical Skills
As a Senior Data Analyst, your analytical mindset is crucial. Be prepared to discuss specific examples of how you've used data analysis and modelling in previous roles. Highlight your experience with tools like Tableau, PowerBI, Python, and SQL.
✨Demonstrate Stakeholder Management
This role requires excellent stakeholder management skills. Prepare to share instances where you've successfully collaborated with different teams or departments. Emphasise your ability to communicate complex data insights in an understandable way.
✨Familiarise Yourself with Agile Methodologies
Since the position involves working in an Agile environment, brush up on Agile principles and practices. Be ready to discuss how you've contributed to Agile projects in the past and how you ensure the delivery of key user stories.
✨Prepare for Technical Questions
Expect technical questions related to data management principles, testing in product development, and architecture domains. Review your knowledge on these topics and be ready to explain your approach to data mapping, metrics governance, and cataloguing.
