T Levels focus on vocational skills and can help students into skilled employment, higher study or apprenticeships. Each T Level includes an in-depth industry placement that lasts at least 45 days. Students get valuable experience in the workplace; employers get early sight of the new talent in their industry.
This occupation is found in all sectors where data is generated or processed including but not limited to finance, retail, education, health, media, manufacturing and hospitality. The broad purpose of the occupation is to source, format and present data securely in a relevant way for analysis using basic methods; to communicate outcomes appropriate to the audience; analyse structured and unstructured data to support business outcomes; blend data from multiple sources as directed and apply legal and ethical principles when manipulating data. In their daily work, an employee in this occupation interacts with a wide range of stakeholders including colleagues, managers, customers and internal and external suppliers. They would typically work as a member of a team; this may be office based or virtual. An employee in this occupation will be responsible for collecting and processing data under the guidance of a senior colleague or multiple colleagues across the business. This may vary by sector and size of the organisation. An employee would mainly be responsible for their own work but may have the opportunity to mentor others.
| Duty | Criteria | KSBs |
|---|---|---|
| Duty 1 source data from a collection of already identified trusted sources in a secure manner | Data is collected securely from trusted sources in line with current company requirements informed by relevant regulatory and legal standards and industry best practice |
K1
K2
K15
S1
B1
B2
B4
|
| Duty 2 collate and format data to facilitate processing and presentation for review and further advanced analysis by others | Data collated and formatted according to company procedures and recognised industry good practice |
K3
S2
S16
B1
B2
B4
|
| Duty 3 present data for review and analysis by others, using required medium for example tables, charts and graphs | Data is presented in an appropriate format for review and analysis in line with company procedures and industry best practice. |
K4
K5
S3
B5
B6
|
| Duty 4 blend data by combining data from various sources and formats to explore its relevance for the business needs | Data is blended ensuring that accuracy and consistency is maintained in line with current company requirements informed by relevant regulatory and legal standards and industry best practice |
K6
S4
S5
S6
S16
B1
B2
B4
|
| Duty 5 analyse simple and complex structured and unstructured data to support business outcomes using basic statistical methods to analyse the data. | Data is structured in a way that meets business outcomes |
K7
K8
K9
S7
B1
B2
B3
B4
B5
B6
|
| Duty 6 validate results of analysis using various techniques, e.g cross checking, to identify faults in data results and to ensure data quality | Results are validated in line with organisation and project data quality requirements |
K10
K11
S8
S9
S16
B1
B2
B3
B4
|
| Duty 7 communicate results verbally, through reports and technical documentation and tailoring the message for the audience | Results from data communicated in line with audience requirements |
K5
K12
S10
S11
B5
B6
|
| Duty 8 store, manage and share data securely in a compliant manner | Data is stored, managed and shared in line with organisation, legal and regulatory requirements |
K13
S12
S15
B4
|
| Duty 9 collaborate with people both internally and externally at all levels with a view to creating value from data | The employee is able to confidently engage with people internally and externally at all levels in a professional manner |
K14
S13
S15
S16
S17
S18
B2
B5
B6
|
| Duty 10 practise continuous self learning to keep up to date with technological developments to enhance relevant skills and take responsibility for own professional development | Articulate the latest technology trends affecting data analysis and can communicate the impacts of latest trends |
K15
K16
S14
S15
S16
S17
S18
B2
B3
B4
|
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 analysis
Management and presentation tools to visualise and review the characteristics of data
Communication 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 listening
Range of roles within an organisation, including: customer, manager, client, peer, technical and non-technical.
Back to Duty
K6: The value of data to the business.
How 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
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.
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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
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
Awarding organisation: NCFE
Awarding organisation: NCFE
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