Position Overview & Specifications
4,000 professionals, 0 days wasted, 1 incredible purpose. Together we will beat cancer.
Data Specialist
£35,000-£45,000
Reports to: Lead Data Manager
Department: Chief Operating Office
Contract: 12 month fixed-term contract
Hours: Full time 35 hours per week
We're open to a variety of ways of working, including full time, part time, job share and compressed hours.
Location: Stratford, London Office-based with high flexibility (1-2 days per week in the office)
Closing date: 15 June 2023, 23:55 This vacancy may close earlier if a high volume of applications are received or once a suitable candidate is found
Recruitment process: One competency-based interview
Interview date: From the week commencing 19 and 26 June 2023
Application method: We operate an anonymised shortlisting process in our commitment to equality, diversity, and inclusion. CVs are required for all applications; we won’t be able to view them until the interview stage so they will not be reviewed in the shortlisting process. To be considered fairly for this role, you must fill out the employment history application questions.
Tech Stack: SQL, Python
At Cancer Research UK, we exist to beat cancer.
We are professionals with purpose, beating cancer every day. But we need to go much further and much faster. That’s why we’re looking for someone talented, someone who wants to develop their skills, someone like you.
The Data team plays an invaluable role in working across our portfolios to deliver data projects in support of the amazing work of our staff, aid data-driven decision making, and ensure we are working towards a best-in-class data offering.
As a Data Specialist, you will be responsible for the data and data processes within our Fundraising & Trading (F&T) portfolio that raised an incredible £543m towards our lifesaving research in 2021/22. As part of several strategic initiatives within this portfolio, our ambition is to utilise our Person Hub (master data management system) and modernise our E-Commerce, and Events platforms. You will play a crucial role by documenting as-is processes, reviewing and translating requirements for these platforms as we prepare for the migration.
This will involve owning the data requirements, reference data management, business rules, data standards, data mappings, data taxonomy, and embedding audit and reconciliation frameworks into data processes. You will also establish key documentation to ensure master data integrity, maintain and support data quality, and investigate data incidents.
However, this isn’t a purely technical role, as you will liaise and build relationships with stakeholders and business partners across F&T while also supporting delivery teams (including testing and skills transfer). In doing so, you will ensure our data structure’s future-readiness and all types of data are useable for Business Intelligence and foster a data-driven culture.
What will I be doing?
- Acting as the Technology representative and subject matter expert for your data domain, championing data across the charity with the aim to embed a data-driven culture and drive value from our data.
- Collaborating with subject matter specialists, and business and compliance colleagues to define, develop and document data requirements.
- Ensuring accurate reference data, business rules, data standards, mappings, taxonomy as well as embedding audit and reconciliation frameworks as part of the data processes for your domain.
- Being part of the design of data integrations, processes, and guiderails across different systems to ensure end-to-end data lineage.
- Assisting the investigation of data incidents, analysing issues arising and identifying the root cause of problems to address anomalies, and drive forward the quality of our data.
- Helping teams understand how to interpret their data, putting data into context and providing support to explore, and use the data to make informed decisions.
- Ensuring data quality is measured and quality standards are appropriately considered and applied.
- As part of a team, assisting the migration of data, creating data migration models and preparing, validating, and signing off the data mappings between “as is” and “to be”.
- Working with Business Analysts to define functional and non-functional requirements for data flows, validating and implementing data business rules ie. retention, transformation, dependencies, acceptance criteria.
- Applied design principles, compliance, and techniques to drive the analysis, modelling, and understanding of the data and its operation across the organisation.
- Experience in areas of Data Management, Data Migration, Data Governance and/or Data Quality.
- Experience making data quality improvements and helping resolve quality problems through the appropriate choice of error detection, correction, process control and improvement.
- Worked on data migrations and governed the implementation of data processes across multiple lines of business and information systems.
- Introduced and built data capability within a large, complex, and multi-stakeholder environment.
- Knowledge of data applications, relational databases and scripting languages (e.g. SQL, Python).
- Strong analytical thinking and problem-solving skills, with the ability to convey complex technical/data concepts to both technical and non-technical colleagues
- Understanding of data quality measurement and reporting frameworks.