Power BI Data Analyst

Data Technician Level 3

Become a Microsoft Certified Power BI Data Analyst

Role Profile

This role is relevant across industries such as finance, retail, education, health, media, manufacturing, and hospitality, involving the sourcing, formatting, and secure presentation of data for analysis using fundamental methods. The key responsibilities include communicating outcomes effectively, analysing both structured and unstructured data to support business goals, integrating data from various sources, and adhering to legal and ethical standards in data manipulation. Interacting with a diverse range of stakeholders, including colleagues, managers, customers, and suppliers, is integral to the role, typically within a team setting, either in-office or virtually. The employee operates under the guidance of senior colleagues, with responsibilities varying based on sector and organisational size, primarily focusing on their tasks while potentially having the opportunity to mentor others.

Details
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Qualification Level

Level 3 – Advanced Apprenticeship
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Training Duration

12 months
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Training Method

Online
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Programme Length

15 months
school

Coaching

Data Specialist Mentor
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Breakdown of Course Content

Module 1

Introduction to Data

This module provides an overview of data fundamentals, covering diverse data formats, privacy and security issues, and tools for data storage, management, and analysis, including structured and unstructured data, considerations of privacy, security, and ethics, as well as techniques and tools for internal research and data analysis.

1
Module 2

Unlock the Capabilities of Excel

Mastering techniques to streamline everyday data tasks, integrating and refining data from multiple sources, and utilising pivot tables and Toolpak for insightful analysis. This module covers data handling, blending from diverse sources, pivot table mastery, data cleaning, formatting, and an introduction to statistical analysis using Toolpak in Excel.

2
Module 3

Compelling Data Stories

Master the art of creating captivating data stories through visually engaging charts and dashboards, strategically designed to illuminate trends and patterns, ultimately enhancing your impact within the organisation.

3
Module 4

Statistics and Analytics

Enhance your data analysis skills beyond Excel basics, utilising advanced functions and tools to interpret intricate data sets effectively, empowering informed, data-driven strategies for business decisions.

4
Module 5

Advanced Automation in Excel

Master advanced Excel automation techniques to streamline manual processes, boost efficiency in data management, and construct and maintain sophisticated data models and dashboards effortlessly.

5
Module 6

Power BI

Delve into Power BI’s dynamic features, enabling users throughout an organisation to transform raw data into actionable insights, including data preparation, interactive visualisations, and an introduction to programming languages like DAX.

6
Module 7

Understanding Databases

Develop a solid grasp of data storage to engage in informed discussions with specialists across your organisation, covering data sourcing, modelling, database systems, and an introduction to SQL, while exploring the advantages, disadvantages, and associated risks of different data management approaches.

7
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Progression Pathway & Typical Job Roles

Level 3 – Advanced Apprenticeship Data Technician – Level 3
Level 4 Data Analyst

Find out more about this apprenticeship course

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Course Feedback

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I studied AAT with EMA Training Ltd, throughout the whole duration of my course I felt fully supported by not only my tutor Hollie, but the whole team.

Kayleigh, Assistant Accountant Level 3 student

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