Data Analyst (NLEP)

Salary: £50,537
Grade: Level 4 Zone 2
Location: 5 Pancras Square N1C 4AG
Contract Type: Secondment/Fixed Term until 30th September 2027 with potential for 12 months extension
Hours: Full Time (36 hours)
Closing Date: Sunday 8^th March 2026; 23:59


About Camden

Camden is changing on the inside to make life better for everyone. Our residents and communities are at the heart of everything we do. We’re home to the most important conversations happening today and we’re making radical social change a reality, so that nobody gets left behind.  Here’s where you can help decide a better future for us all.

About the North London Equipment Partnership (NLEP)

The NLEP is a partnership of eight London boroughs— Barnet, Brent, Camden, Hackney, Hammersmith and Fulham, Haringey, Harrow, and Islington—that jointly commission an integrated community equipment service with Provide Care Solutions Ltd. Camden acts as the lead borough, hosting the NLEP team, and the contract supports both social care and health partners across all eight boroughs.

How You’ll Be Involved 

As a NLEP Data Analyst you will have a body of knowledge and experience in the skills, tools and techniques of Data Analytics and you will apply to this effectively to support us in delivering for the NLEP. 

Analysis and synthesis of data: You will apply basic techniques for the analysis of data from a variety of internal and external sources and synthesise your findings. Your analysis will support both service improvement and wider strategy development, policy, and service design work across the organisation. You will effectively involve a variety of data professionals and domain experts in this analysis and synthesis and will present clear findings that colleagues can understand and use.

Communication: You will communicate effectively with technical and non-technical stakeholders in a variety of roles. You will build strong collaborative relationships with colleagues from frontline to senior leadership and host discussions that help define needs, generate new insights, improve data literacy, and promote data culture. You will be an advocate for the team and can manage differing perspectives and potentially difficult dynamics.

Data management: You will understand data governance and how it works in relation to other organisational governance structures and will be a proactive participant in and promoter of Camden’s data governance practices. You will use your experience to manage data, ensuring adherence to standards and maintaining data dictionaries. You will effectively manage risk to privacy in adherence to national legislation and local practices.

Data modelling, cleansing and enrichment: You will be able to either produce or maintain data models and understand where to use different types of data models, developing Camden’s business intelligence architecture in collaboration with our Data Engineers and Data Architects. You will also have some understanding in reverse-engineer a data models from live systems. You will have understanding of different tools and industry-recognised data-modelling patterns and standards, comparing different data models, communicating data structures using documentation such as schema diagrams.

Data quality assurance, validation and linkage: You will identify appropriate ways to collect, collate and prepare data as set by the Data Architecture team and Data Engineers. This will involve informing the design of frontend system and surveys to ensure enhanced user experience and data quality. You will make judgments as to whether data are accurate and fit for purpose and will support services in maintaining good data quality through the development of data quality auditing systems. You will define and implement batch cleansing processes where appropriate with limited guidance.

Data visualisation: You will use the most appropriate medium to visualise data to tell compelling stories that are relevant to business goals and can be acted upon. Your work will take advantage of a wide variety of data visualisation tools and methodologies, presenting complex information in a way that is engaging, useful and readily intelligible to a range of audiences such as frontline staff, managers, and senior leadership. You will present, communicate, and disseminate data appropriately and with influence in settings ranging from operational meetings to high profile strategic partnerships.

IT and mathematics: You will apply your knowledge and experience of IT and mathematical skills, including tools and techniques. You can adopt those most appropriate for the environment and always work in a manner that is sensitive to information security. You will use your experience of using a variety of tools such as MS Excel, Qlik, SQL, R, Python, QGIS, Tableau.

Logical and creative thinking: You will respond effectively to problems in databases, data processes, data products and services as they occur. You will initiate actions, monitor services, and identify trends to resolve problems. You will take responsibility for determining innovative solutions and assist with their implementation, and with preventative measures. Your analysis will involve creative interaction with data that takes innovative approaches to generating insight and answering business questions.

Project management: You will apply your knowledge and experience of project management methodologies, including tools and techniques, adopting those most appropriate for initiatives such as the development of new reporting solutions or delivery of statutory returns. You will play a lead role in projects as a Data Analytics expert, collaborating with colleagues in a variety of roles to achieve objectives.

Statistical methods and data analysis: You will understand how and when to practically apply existing best practice solutions. You will use your experience of processing data using statistical techniques such as sampling, regression, averages, clustering to generate insight and answer business questions.

How To Apply

To apply for this job please follow the "Apply" link. In the ‘Why you?’ section of the application you will be required to demonstrate how you meet the "10 domains” of the DDaT framework as listed above and in the Job Profile under 'The Role'.

To view the Job Profile, please CLICK HERE or copy and paste the below URL into your browser: http://camdocs.camden.gov.uk/HPRMWebDrawer/Record/11617292/file/document?inline

What We Offer

At Camden, you’ll receive a host of benefits. From flexible working to 27 days annual leave (+ bank holidays!). We also know that a work life balance is extremely important so we also offer family leave, loan schemes and access to our incredible staff networks. We also have an incredible pensions scheme. 

Visit 'www.camdenjobs.co.uk/staff-benefits' for more details.

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. 

Please visit www.camdenjobs.co.uk/inclusion-and-diversity 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 020 7974 6655, at resourcing@camden.gov.uk 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.