Data Architect/Pensaer Data
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Start Date: Not Specified
Location: UK
Advertising Salary: National: £38,366 - £46,891; London: £41,885 - £51,193
Vacancy Type: Permanent
External Advertising End Date: 16 Mar 2025
Basis: Full Time
Hours Per Week: 37
About The Role
At The National Lottery Community Fund, we are committed to making a bigger difference in the years ahead. That's why being 'impact-focussed' is one of our core values. We want to transform how we use evidence in our organisation to identify the communities that most need our funding, demonstrate the difference we make, and take an equity-based approach. Our 2030 strategy 'It starts with community' sets stretching goals and puts impact at the heart of what we do.
This is an exciting new role in Evidence and Impact where you will help our analytical community use common and consistent datasets. You will take a holistic view of the wide range of data we use across our work and build a stronger data practice for our team and the wider Community Fund. You will explore how data flows between systems before it is used in analysis, and with the Head of BI, you will design and maintain a target architecture that sets out how we want our data to work and enables engaging and transformative analysis. Strong collaboration with our Technology and Service Design teams will be essential as we continuously improve how we use data from our different systems to enable BI and insight.
This role is ideal for someone who can see the big picture and wants to work on the overall data landscape at the Community Fund. We are looking for someone who is a strong collaborator and has helped improve how data is managed within an organisation. The ability to see the value of clear and consistent processes for analysis will also be vital. For those seeking to build their data architecture career, technical training will be provided in the role.
This position can be based in any of the Community Fund's offices, with travel required for occasional team meetings and events.
Interview Date: Interviews will be held w/c 3rd or 10th March and will take place online via Microsoft Teams.
Location: We have a hybrid approach to working; work pattern and location will be agreed with the successful candidate. The role can be based at any of our UK offices: Belfast, Birmingham, Cardiff, Exeter, Glasgow, Leeds, London, Newcastle, and Newtown.
If you would like an informal conversation about the role, please contact: [email protected]
For questions about the recruitment process, please email: [email protected]
On application, please align your supporting statement to the criteria below
Essential criteria
* Understanding of data governance practices, such as data quality, data security, and data privacy, particularly in relation to analytical and reporting systems.
* A strong commitment to ongoing CPD regarding data, analytics, and architecture practice.
* Strong communication skills, with the ability to effectively communicate with different audiences and translate business requirements into technical architecture.
* Technical expertise in database and analytics technologies, particularly SQL or DAX/PowerBI.
* Familiarity with architectural frameworks such as the TOGAF standard or similar.
* Strong experience in implementing data architectures and data modelling for analytics, including designing data models for others to use.
Desirable criteria
* An appreciation of how data architecture supports AI use in data services.
* A professional qualification, bachelor's degree, or equivalent level of experience in a relevant discipline such as data analytics and modelling or computer science.
Equity, Diversity and Inclusion
We are committed to equity, diversity, and inclusion, ensuring our funding reaches where it is needed. We believe our people should represent the communities, organisations, and individuals we work with. We positively welcome applications from diverse backgrounds.
As a Disability Confident Employer, we take a proactive approach to making reasonable adjustments throughout the recruitment process and during employment.
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