Data Analytics Level 4 Apprenticeship at Estee Lauder Companies Ltd

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Data Analytics Level 4 Apprenticeship

Throughout the programme, the data analyst apprentice will be responsible for:

  • Working within the Estée Lauder Companies’ data architecture to produce a series of reports and dashboards which will enable the team to make more informed decisions
  • Identifying, collecting and migrating data to & from a range of internal and external systems
  • Manipulating and linking different data sets as required
  • Interpreting and applying the organisations data and information security standards, policies and procedures to customer data management activities in line with GDPR and any other relevant legislation
  • Collecting and compiling data from different sources
  • Performing database queries across multiple tables to extract data for analysis
  • Using a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
  • Assist production of performance dashboards and reports
  • Assist with data quality checking and cleansing
  • Apply the tools and techniques for data analysis, data visualisation and presentation
  • Assist with the production of a range of ad-hoc and standard data analysis reports
  • Summarise and present the results of data analysis to a range of stakeholders making recommendations

Training to be provided

Level 4 Data Analyst apprenticeship standard, which includes:

  • Level 1/2 Functional Skills in maths and English (if required)
  • End-Point Assessment (EPA)
  • Employee Rights and Responsibilities (ERR)
  • Personal Learning and Thinking Skills (PLTS)

Whilst on programme, the successful candidate will acquire the following knowledge through a blend of structured and on-the-job learning:

  • The range of data protection and legal issues
  • The data life cycle
  • The different types of data, including open and public data, administrative data, and research data
  • The differences between structured and unstructured data
  • The fundamentals of data structures, database system design, implementation and maintenance
  • The importance of the domain context for data analytics
  • The quality issues that can arise with data and how to avoid and/or resolve these
  • The importance of clearly defining customer requirements for data analysis
  • The processes and tools used for data integration
  • The steps involved in carrying out routine data analysis tasks
  • How to use and apply industry standard tools and methods for data analysis

Desired skills

  • An appreciation for the beauty industry
  • A keen interest in future trends and the trajectory of the data science, technology and machine learning
  • Analytical and problem-solving skills
  • Logical and creative thinking skills
  • A curiosity towards what triggers and impacts consumer behaviour and spending
  • An understanding of the importance of tracking and communicating numbers (likes, clicks, sales, engagement)
  • An innate appreciation for varying customer viewpoints, cultures and interests
  • Ability to work with a range of internal and external people
  • Ability to communicate appropriately in a variety of situations

Personal qualities

  • Proven ability to balance the demands of working whilst studying
  • Ability to work independently and to take responsibility
  • Maintain productive, professional and secure working environment

Desired qualifications

GCSEs at grades C/4 or above (or equivalent) in maths and English.

Future prospects

96% of Arch Apprentices move straight into the destination of their choice when they finish their apprenticeship with many seeing their salary go up immediately post-apprenticeship

About Estee Lauder Companies Ltd

The Estée Lauder Companies Inc. is one of the world leading manufacturers and marketers of quality skin care, makeup, fragrance and hair care products. The Company’s products are sold in over 150 countries and territories under brand names including: Estée Lauder, Clinique, Origins, Tommy Hilfiger, M·A·C, La Mer, Bobbi Brown, Donna Karan New York, DKNY, Jo Malone London, Bumble and bumble, Michael Kors, Tom Ford, Smashbox, BECCA, and Too Faced and more.

How to apply

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