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Applied Data Analyst Apprentice (New Resource Partners) NEW RESOURCE PARTNERS LIMITED

You will be reporting to the Technical Lead. You will be responsible for gathering and curating large volumes of energy and financial data. You will also participate in data cleaning and the development of proxy datasets.

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Closing date: 13 Feb 2023

Apprenticeship summary

  • Annual wage


  • Working week

    Days and shifts to be confirmed.

    Total hours per week: 37.5

  • Expected duration

    24 Months

  • Possible start date

    20 Feb 2023

  • Date posted

    11 Jan 2023

  • Apprenticeship level

    Level 7 (Master's degree)

  • Reference number


  • Positions

    1 available

What will the apprentice be doing?

Working under the technical guidance of the line manager, your responsibilities are:

  • Responsible for data cleaning and preparation.
  • Management of the data flow including continuous efficiency improvement.
  • Making sure the daily scheduled tasks will run correctly, reviewing, and resolving any issues.
  • Writing and updating documentation for internal and external data processes.
  • Provide insights and ad-hoc reports.
  • Occasional onsite data gathering and assessment.
  • Data visualisations of the outcome of the tool

What training will the apprentice take and what qualification will the apprentice get at the end?

Throughout the apprenticeship learners receive coaching, help and guidance from a dedicated team who are there to ensure they get the most from their work experience.

Successful completion of this apprenticeship gives you an accredited Level 7 Applied Data Analytics, with training in how to:

  • Configuring, writing, and structuring code
  • Designing and testing code
  • Object-oriented programming
  • Data analysis using code libraries
  • Loading and treating datasets
  • Visualising results
  • Data analysis with Python
  • Alternative languages, libraries, and programming tools
  • Emerging technology and horizon scanning
  • Data privacy
  • Cyber security
  • Importance of general IT controls
  • IOS and drones, Block chain and the distributed ledger revolution
  • Leveraging audit analytics
  • The new realities of tomorrow
  • Extending perception
  • Exploration and inference
  • Regression analysis
  • Classification using Naïve Bayes
  • Evaluating machine learning algorithms
  • Visualisation and learning
  • Classification algorithms
  • Codifying analytic modelling and visualisation
  • Big Data properties
  • Evaluating cloud platforms
  • Sources of Big Data
  • Computational resources for Big Data
  • Architectures for Big Data
  • Implementing and evaluating an architecture
  • Big Data analytics Directions of Big Data
  • The machine learning landscape
  • Introduction to deep learning and neural networks
  • Training complex machine learning models
  • Refining machine learning models
  • Leveraging prebuilt automated machine learnings
  • Processing patterns, images and vision
  • Processing language
  • Advanced topics in machine learning
  • Fundamentals of RPA
  • Tooling available for RPA
  • Intelligent automation
  • Business process automation
  • Extracting and moving with bots
  • Low-code RPA

What is the expected career progression after this apprenticeship?

The role offers long term security and the opportunity to progress into a permanent position.

Requirements and prospects

Desired skills and personal qualities

Attention to detail, Background in Data Analytics, MySQL, Python and Git, Microsoft Excel, Microsoft office tools, Ability to visualise data, Excellent communication skills, Time Management, Diligent, Organised, Investigative


GCSE or equivalent English (Grade A*-C/9-4 or equivalent) Essential
GCSE or equivalent maths (Grade A*-C/9-4 or equivalent) Essential

Things to consider

Desirable: • Experience with Tableau (or other data visualisation tools) • Basic knowledge of energy and/or property sector.

About the employer

New Resource Partners helps clients navigate growing complexity in energy and property, setting course for Net Zero. We provide practical, clean energy strategy for governments, businesses, and investors in the transition from conventional energy to renewables. Our mission is to optimise energy decision-making to drive down carbon, enhance financial performance, and help clients stay competitive.







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Training provider



Nabila Lotfy


Apprenticeship standard

Artificial intelligence (AI) data specialist

Level 7 (Master's degree)

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