Senior Data Analysts

Join to apply for the Senior Data Analysts role at London Borough of Camden

Salary: £55,581
Job Level: Level 5 Zone 1
Location: 5 Pancras Square N1C 4AG
Contract Type: Permanent
Hours: 36, Full Time
Closing Date: Sunday 1st February 2026; 23:55
Open House: Friday 23rd January 18:00-19:00; Register here

We Make CamdenandThe Way We Work,set forth an organisational vision centred on relationships, innovation, and people, moving beyond bureaucratic approaches.

Camden is building somewhere everyone can thrive, by making our borough the best place to live, work, study and visit. We’re home to some of the most important conversations happening today, and our mission led approach we’re making radical social change a reality, so that nobody gets left behind.

We are a values‑lead organisation and work in a relational way. In this context, our growing community of Data Analysts use data to connect people, inform conversations and empower decision‑makers.

Data in Camden

Data are crucial in supporting both people and communities across Camden and we are investing in our data capabilities to realise social value in new and exciting ways, creating new insights into complex social issues and the lived experiences of people across the borough.

We believe that data rights are human rights and have published our first of a kind Data Charter which presents the principles by which we ensure that data are used for public good in a transparent, ethical and accountable way.

We have an appetite for innovation, and the work of our data analysts increasingly leverages emergent technologies such as those in the spheres of Generative AI, Machine Learning and Natural Language Processing.

How You’ll Be Involved

We are seeking 2 Senior Data Analysts to lead portfolios of data analysis supporting the following service areas: Property Management and Investment, Place and Opportunity.

The work is varied. It involves ongoing dialogue with decision makers, design and development of efficient and accessible data models and reporting pipelines, and delivery of intelligently designed data products. The roles combine regulatory compliance, business intelligence to support effective service delivery, and research projects to derive new insights that enabled evidence based strategic decision making.

As a Senior Data Analyst in Camden, you will be an accomplished data analysis expert with a body of knowledge and experience of relevant skills, tools, and techniques that you are able to share with others and use to implement and oversee data analysis that supports us in delivering for the people of Camden.

The roles require the line management of up to five Data Analysts. You will be comfortable leading a small team, ensuring adherence to standards, prioritising existing work and proposing new projects. You will also be able to serve as a key point of contact for decision makers within our services, acting as an expert in data analysis and ensuring that decision making is informed by data. You will also operate with confidence and authority within Camden’s community of Data Analysts, fostering a culture of learning and networking Data Analysts to facilitate collaborative working.

Please follow the links below to view the specific Job Profiles for each of the advertised positions. Applicants will be considered for all roles but please do indicate any preferences that you have.

To view the Job Profile for the Property Management position please click on the below link:

To view the Job Profile for the Investment, Place and Opportunity position please click on the below link:

What We Offer

At Camden, you’ll receive a host of benefits including:

• 27 days annual leave for new starters, rising to 31 days after 5 years + Bank holidays
• Local Government Pension Scheme
• Flexible working opportunities;
• Interest free loans
• Access to our incredible staff networks
• Career development and training
• Wellbeing support and activities

Visit ' for more details.

The application Process

• Complete a short application via the “Apply” link at the bottom of this page - we anonymise all applications to reduce bias in the hiring process by placing greater emphasis on candidates’ relevant skills and experience.
• First Round interview: 25 Minute technical knowledge based phone call
• Testing Element: If you are successful through the call you will be sent a technical test to complete and send back to the panel to be discussed at the second interview
• Second Round interview: 1 hour in person interview discussing your test and competency based questions
• Third Round interview: Informal conversation with stakeholders for the relevant area you will be working with

Inclusion and Belonging

At Camden, we want every colleague to feel they belong and can thrive. We welcome applications from all parts of our community, and particularly encourage people from Black, Asian and Other Ethnic Heritage communities, LGBTQ+ people, disabled and neurodiverse people, survivors of domestic abuse, and those from lower socio-economic backgrounds or with care experience. We know that different voices and perspectives make us stronger, and we are committed to providing the support, adjustments and flexibility people need to succeed. Click Inclusion and diversity - Camden Careers - Camden Council for more information on our commitment.

Asking for Adjustments

At Camden, we are committed to making our recruitment process barrier‑free and accessible for everyone. If you need us to do something differently during the application, interview or assessment process, just let us know and we will support you. This could include providing information in an alternative format, extra time in assessments, or adjustments for disabled, neurodiverse or long‑term health conditions.

Please contact us on , at or by post to 5 Pancras Square, London, N1C 4AG. We’ll work with you to make sure the process works for you.

Anonymised Application – in keeping with Camden’s commitment to inclusion the recruitment to this role is anonymised and supports the objective of reducing the impact of unconscious bias.

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