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Skill Details

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Skill Overview

All the digital technologies we use at home and work are constantly gathering and storing large amounts of data. Companies can use this data to make evidence-based decisions across their business, in areas including customer service, marketing, sales, product development and business improvement.

As a result, businesses need people who can use analytic tools and methods to collect, analyse and report on business-critical data. Skilled data analysts who understand these tools and methods such as AI, predictive analysis, and Python and R, are in high demand.

One of the best ways to access data analyst training is the Level 4 Data Analyst apprenticeship. The Data Analyst apprenticeship allows people to learn the techniques to gather, inspect, cleanse, transform and model data – all through on-the-job training.

The Level 4 Data Analyst apprenticeship is an advanced skills development opportunity. Apprentices may be new recruits who are natural problem-solvers with an analytical mindset. Or they may be existing team members working with data but want a deeper understanding of how to make use of it.

Either way, during their apprenticeship, learners will collect, study and present data to provide business insight.

Apprentices may be in one of the following job roles:
Data Analyst
Departmental Data Analyst (e.g. HR, People, Marketing)
Junior Analyst
Energy Data Analyst

Learning Objectives

Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
implement the stages of the data analysis lifecycle
apply principles of data classification within data analysis activity
analyse data sets taking account of different data structures and database designs
assess the impact on user experience and domain context on data analysis activity
identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
undertake customer requirements analysis and implement findings in data analytics planning and outputs
identify data sources and the risks and challenges to combination within data analysis activity
apply organizational architecture requirements to data analysis activities
apply statistical methodologies to data analysis tasks
apply predictive analytics in the collation and use of data
collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
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
collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
select and apply the most appropriate data tools to achieve the optimum outcome

Funding Option

Funding Eligibility

This opportunity is only available to business owners, managers and team leaders looking to upskill their staff. If you are unemployed or exploring new career options, you can start your apprenticeship journey by sending your CV to: info@360apprenticeships.co.uk

For apprentices aged 16-21 the training costs are fully funded by the government. For apprentices aged over 21, there is a 5% co-investment which would be paid by the employer. Alternatively, the training costs can be covered by utilising the Apprenticeship Levy Fund.

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