Data Analyst (NLEP)
Role details
Job location
Tech stack
Job description
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.
Requirements
Do you have experience in Tableau?
Benefits & conditions
The process involves a short, virtual, Stage 1 interview where the candidate demonstrates their abilities against the 10 domains of the digital, data and technology (DDaT) framework. Successful candidates will progress to Stage 2 where they are invited to complete a technical test and attend a longer, competency based, interview in person.
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.
