You can integrate and separate data feeds to map, produce, transform and test new data products. Skill level Description Awareness This skill level is currently not defined. Working You can:design, build and test data products based on feeds from multiple systems, using a range of different storage technologies, access methods or bothcreate repeatable and reusable … Read more
You can understand how to apply basic techniques for the analysis of research data and synthesis of findings You can translate data into valuable insights that inform decisions. You can effectively involve teams in analytics and synthesis to increase consensus and challenge assumptions. You can identify and use the most appropriate analytical techniques, and you … Read more
You can communicate effectively across organisational, technical and political boundaries, understanding the context. You can make complex and technical information and language simple and accessible for non-technical audiences. You can advocate on behalf of a team and communicate what it does, to create trust and authenticity. You can successfully respond to challenges. Skill level Description … Read more
A data architect sets the vision for the organisation’s use of data, through data design, to ensure that data is managed properly and meets the organisation’s needs. https://ddat-capability-framework.service.gov.uk/role/data-architect Data Architect A data architect designs and builds data models to fulfil the strategic data needs of the organisation, as defined by chief data architects. At this … Read more
A data engineer develops and constructs data products and services, and integrates them into systems and business processes. https://ddat-capability-framework.service.gov.uk/role/data-engineer You will need the following skills for this role, although the level of expertise for each will vary, depending on the role level. Data Engineer A data engineer delivers the designs set by more senior members … Read more
Data science is a broad and fast-moving field spanning maths, statistics, software engineering and communications. Data scientists will often work as part of a multidisciplinary team, using data and analytics to inform and achieve organisational goals. In this role, you will: be inquisitive explore and visualise data make recommendations to address complex problems and to … Read more
A data analyst collects, organises and studies data to provide business insight. https://ddat-capability-framework.service.gov.uk/role/data-analyst In this role, you will: You will need the following skills for this role, although the level of expertise for each will vary, depending on the role level.
A data architecture is the foundation of any data strategy. It is the “how” when implementing a data strategy. In this article, we’ll look at: Business agility Data architecture Architecture components Data standards The shift to new architecture Data schemas The architecture is responsible for setting the data standards that define what kinds of data will … Read more
Data wrangling—also called data cleaning, data remediation, or data munging—refers to a variety of processes designed to transform raw data into more readily used formats. The exact methods differ from project to project depending on the data you’re leveraging and the goal you’re trying to achieve. Some examples of data wrangling include: Data wrangling can be a manual … Read more