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A leading recruitment firm in the UK is looking for a Data Architect to support data governance and quality assurance. This position involves analyzing internal and external data, presenting findings to diverse stakeholders, and contributing to data strategy development. Candidates should possess strong analytical skills, experience with various data tools (e.g., SQL, Python), and the ability to communicate complex information clearly. Knowledge of data modeling and visualization techniques is a must. Competitive salary and opportunities for professional development are offered.
Thurrock RM17 6SL
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.
You will communicate effectively with technical and non-technical stakeholders in a variety of roles.
You will build strong collaborative relationships with colleagues from front line 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.
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 Thurrock'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.
You will be able to either produce or maintain data models and understand where to use different types of data models, developing Thurrock'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.
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 front end system and surveys to ensure enhanced user experience and data quality.
You will make judgements 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.
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 front line 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.
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.
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.