Data technician

KSBs

Knowledge

K1: Range of different types of existing data.Common sources of data – internal, external, open data sets, public and private.Data formats and their importance for analysis.Data architecture – the framework against which data is stored and structured including on premises and cloud. Back to Duty

K2: How to access and extract data from a range of already identified sources Back to Duty

K3: How to collate and format data in line with industry standards Back to Duty

K4: Data formats and their importance for analysisManagement and presentation tools to visualise and review the characteristics of dataCommunication tools and technologies for collaborative working Back to Duty

K5: Communication methods, formats and techniques, including: written, verbal, non-verbal, presentation, email, conversation, audience and active listeningRange of roles within an organisation, including: customer, manager, client, peer, technical and non-technical Back to Duty

K6: The value of data to the businessHow to undertake blending of data from multiple sources Back to Duty

K7: Algorithms, and how they work using a step-by-step solution to a problem, or rules to follow to solve the problem and the potential to use automation Back to Duty

K8: How to filter details, focusing on information relevant to the data project Back to Duty

K9: Basic statistical methods and simple data modelling to extract relevant data and normalise unstructured data Back to Duty

K10: The range of common data quality issues that can arise e.g. misclassification, duplicate entries, spelling errors, obsolete data, compliance issues and interpretation/ translation of meaning Back to Duty

K11: Different methods of validating data and the importance of taking corrective action Back to Duty

K12: Communicating the results through basic narrative Back to Duty

K13: Legal and regulatory requirements e.g. Data Protection, Data Security, Intellectual Property Rights (IPR), Data sharing, marketing consent, personal data definition.The ethical use of data Back to Duty

K14: The significance of customer issues, problems, business value, brand awareness, cultural awareness/ diversity, accessibility, internal/ external audience, level of technical knowledge and profile in a business context Back to Duty

K15: The role of data in the context of of the digital world including the use of eternal trusted open data sets, how data underpins every digital interaction and connectedness across the digital landscape including applications, devises, IoT, customer centricity Back to Duty

K16: Different learning techniques, learning techniques and the breadth and sources of knowledge Back to Duty

Skills

S1: Source and migrate data from already identified different sources Back to Duty

S2: Collect, format and save datasets Back to Duty

S3: Summarise and explain gathered data Back to Duty

S4: Blend data sets from multiple sources and present in format appropriate to the task Back to Duty

S5: Manipulate and link different data sets as required Back to Duty

S6: Use tools and techniques to identify trends and patterns in data Back to Duty

S7: Apply basic statistical methods and algorithms to identify trends and patterns in data Back to Duty

S8: Apply cross checking techniques for identifying faults and data results for data project requirements Back to Duty

S9: Audit data results Back to Duty

S10: Demonstrate the different ways of communicating meaning from data in line with audience requirements Back to Duty

S11: Produce clear and consistent technical documentation using standard organisational templates Back to Duty

S12: Store, manage and distribute in compliance with data security standards and legislation Back to Duty

S13: Explain data and results to different audiences in a way that aids understanding. Back to Duty

S14: Review own development needs Back to Duty

S15: Keep up to date with developments in technologies, trends and innovation using a range of sources Back to Duty

S16: Clean data i.e. remove duplicates, typos, duplicate entries, out of date data, parse data (e.g. format telephone numbers according to a national standard) and test and assess confidence in the data and its integrity. Back to Duty

S17: Operate as part of a multi-functional team Back to Duty

S18: Prioritise within the context of a project Back to Duty

Behaviours

B1: Manage own time to meet deadlines and manage stakeholder expectations Back to Duty

B2: Work independently and take responsibility Back to Duty

B3: Use own initiative Back to Duty

B4: A thorough and organised approach Back to Duty

B5: Work with a range of internal and external customers Back to Duty

B6: Value difference and be sensitive to the needs of others Back to Duty