Level 3 -
Source, format and present data securely in a relevant way for analysis.
Reference: OCC0795
Status:
SOC 2020 sub unit groups:
Fujitsu, Lloyds Banking, GEO Strategies, Accenture, Accordio Ltd, Stategic Discourse Ltd, Digital Care Consultancy Ltd
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.
Fujitsu, Lloyds Banking, GEO Strategies, Accenture, Accordio Ltd, Stategic Discourse Ltd, Digital Care Consultancy Ltd
source data from a collection of already identified trusted sources in a secure manner
collate and format data to facilitate processing and presentation for review and further advanced analysis by others
present data for review and analysis by others, using required medium for example tables, charts and graphs
blend data by combining data from various sources and formats to explore its relevance for the business needs
analyse simple and complex structured and unstructured data to support business outcomes using basic statistical methods to analyse the data.
validate results of analysis using various techniques, e.g cross checking, to identify faults in data results and to ensure data quality
communicate results verbally, through reports and technical documentation and tailoring the message for the audience
store, manage and share data securely in a compliant manner
collaborate with people both internally and externally at all levels with a view to creating value from data
practise continuous self learning to keep up to date with technological developments to enhance relevant skills and take responsibility for own professional development
This occupational progression map shows technical occupations that have transferable knowledge and skills.
In this map, the focused occupation is highlighted in yellow. The arrows indicate where transferable knowledge and skills exist between two occupations. This map shows some of the strongest progression links between the focused occupation and other occupations.
It is anticipated that individuals would be required to undertake further learning or training to progress to and from occupations. To find out more about an occupation featured in the progression map, including the learning options available, click the occupation.
Progression decisions have been reached by comparing the knowledge and skills statements between occupational standards, combined with individualised learner movement data.
Technical Occupations
Levels 2-3
Higher Technical Occupations
Levels 4-5
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Levels 6-7
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