Data analyst Apprenticeship Standard

Interested in a simple Skills Scan and Learning Progress Tracker tool for the Data analyst standard?

Knowledge

K1: current relevant legislation and its application to the safe use of data
K2: organisational data and information security standards, policies and procedures relevant to data management activities
K3: principles of the data life cycle and the steps involved in carrying out routine data analysis tasks
K4: principles of data, including open and public data, administrative data, and research data
K5: the differences between structured and unstructured data
K6: the fundamentals of data structures, database system design, implementation and maintenance
K7: principles of user experience and domain context for data analytics
K8: quality risks inherent in data and how to mitigate or resolve these
K9: principal approaches to defining customer requirements for data analysis
K10: approaches to combining data from different sources
K11: approaches to organisational tools and methods for data analysis
K12: organisational data architecture
K13: principles of statistics for analysing datasets
K14: the principles of descriptive, predictive and prescriptive analytics
K15: the ethical aspects associated with the use and collation of data

Skills

S1: Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
S2: implement the stages of the data analysis lifecycle
S3: apply principles of data classification within data analysis activity
S4: analyse data sets taking account of different data structures and database designs
S5: assess the impact on user experience and domain context on data analysis activity
S6: identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
S7: undertake customer requirements analysis and implement findings in data analytics planning and outputs
S8: identify data sources and the risks and challenges to combination within data analysis activity
S9: apply organizational architecture requirements to data analysis activities
S10: apply statistical methodologies to data analysis tasks
S11: apply predictive analytics in the collation and use of data
S12: collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
S13: use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
S14: collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
S15: select and apply the most appropriate data tools to achieve the optimum outcome

Behaviours

B1: maintain a productive, professional and secure working environment
B2: show initiative, being resourceful when faced with a problem and taking responsibility for solving problems within their own remit
B3: work independently and collaboratively
B4: logical and analytical
B5: identify issues quickly, investigating and solving complex problems and applying appropriate solutions. Ensures the true root cause of any problem is found and a solution is identified which prevents recurrence.
B6: resilient - viewing obstacles as challenges and learning from failure.
B7: adaptable to changing contexts within the scope of a project, direction of the organisation or Data Analyst role.

Duty 1

DUTY: Identify data sources to meet the organisation's requirement, using evidence-based decision making to establish a rationale for inclusion and exclusion of various data sets and models

Duty 2

DUTY: Liaise with the client and colleagues from other areas of the organisation to establish reporting needs and deliver insightful and accurate information

Duty 3

DUTY: Collect, compile and, if needed, cleanse data, such as sales figures, Digital Twins etc. solving any problems that arise, to or from a range of internal and external systems

Duty 4

DUTY: Produce performance dashboards and reports in the Visualisation and Model Building Phase

Duty 5

DUTY: Support the organisation by maintaining and developing reports for analysis to aid with decisions, and adhering to organisational policy/legislation

Duty 6

DUTY: Produce a range of standard and non standard statistical and data analysis reports in the Model Building phase

Duty 7

DUTY: Identify, analyse, and interpret trends or patterns in data sets

Duty 8

DUTY: Draw conclusions and recommend an appropriate response, offer guidance or interpretation to aid understanding of the data

Duty 9

DUTY: Summarise and present the results of data analysis to a range of stakeholders, making recommendations

Duty 10

DUTY: Provide regular reports and analysis to different management or leadership teams, ensuring data is used and represented ethically in line with relevant legislation (e.g. GDPR which incorporates Privacy by Design).

Duty 11

DUTY: Ensure data is appropriately stored and archived, in line with relevant legislation e.g. GDPR

Duty 12

DUTY: Practice continuous self learning to keep up to date with technological developments to enhance relevant skills and take responsibility for own professional development

Data analyst

Interested in a simple Skills Scan and Learning Progress Tracker tool for the Data analyst standard?

Knowledge

Skills

Behaviours

Duty 1

Duty 2

Duty 3

Duty 4

Duty 5

Duty 6

Duty 7

Duty 8

Duty 9

Duty 10

Duty 11

Duty 12

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Interested in a simple Skills Scan and Learning Progress Tracker tool for the Data analyst standard?