Data Analyst Apprenticeship Standard
This apprenticeship has been included into our portfolio of specialist programmes as we recognise the significant differences between intelligence and data analysis as well as the departments and roles that utilise these skills and techniques.
The ability to collect, organise and study data is a vital skill set within the vast range of public and private sectors in which Intelligencia Training operates. Building upon the growing success of our engagement via our intelligence analyst apprenticeship we are very aware of how both intelligence and data led can influence decision making processes.
The Data Analyst Apprenticeship Standard focusses upon how data is collected, organised and studied to provide business insight. Data analysts are typically involved with managing, cleansing, abstracting and aggregating data, and conducting a range of analytical studies on that data.
They work across a variety of projects, providing technical data solutions to a range of stakeholders/customers issues. They document and report the results of data analysis activities making recommendations to improve business performance.
They have a good understanding of data structures, database systems and procedures and the range of analytical tools used to undertake a range of different types of analyses. Our engaging delivery model and highly experienced tutors with extensive multi-sector experience will deliver significant new skills.
Download our Apprenticeships Brochure
Modules Available
Module 1/2 – Data concepts, principles and evaluation of the date life cycle
Key terminology, understanding data types, formats, architecture and frameworks
Module 3 – Legislation and data management
Understanding core legislation, how to legally access, process, format and utilise data from a range of sources
Module 4-5 – Data sources and acquisition
Understanding the breadth of data sources available at various levels of the internet, how to safely and legally access, process and use this data within a corporate environment.
Module 6 – Managing risks in data
How to identify, evaluate and mitigate risks within data analysis roles
Module 7-14 – Applied data phase
Familiarisation with a range of role and sector relevant data processing and analysis tools to collate, format and analyse a range of data types for descriptive, predictive and prescriptive outputs using a range of common data analysis techniques. Programmes are specific to role but include Oracle, SQL, ARC, PowerBI, Bold BI, Tableau, SAP Analytics
Module 15 – Analysis of data from multiple sources
Utilising skills developed in the Applied Data phase to collate and analyse data from multiple sources to better support decision making
Module 16 – Customer insight and effective communication
Understand professional techniques used to identify customer needs and effective engagement and influence strategies
Module 17 – Cyber security awareness
Focus on the evolution of cyber threat, core threat groups, techniques and mitigations when working with sensitive or legally protected data
Module 18 – Logic and problem solving day
An “away day” with focus on implementation of key communication skills to control individual and team outputs in unfamiliar environments
Module 19 – Mental health awareness
Overview of how to identify and support mental health and wellbeing of those within duty of care to improve personal and team effectiveness
Module 20 – Mock end point assessment
Preparation for end of course end point assessment examination