£17K/yr to £20K/yr
Milton Keynes, England
Permanent, Variable

Data Analyst Apprentice

Posted by QA.

Employer description:
Helping nurses secure shifts where they want, when they want. Through our flexible working arrangements, we enable our nurses to achieve a balanced lifestyle while delivering quality care.

Overview:
As a Data Analyst Apprentice at Enferm, you will have the opportunity to work with a talented team of data professionals to analyse, interpret, and visualise data that drives business decisions.

This apprenticeship is ideal for someone with a passion for data and analytics who is eager to develop their skills in a real-world setting.
You will be involved in gathering and analysing data, building predictive models, and helping to create data-driven strategies that support Enferm's mission of revolutionising healthcare staffing.

Location: UK, Milton Keynes, MK9 1LR
Department: Data Analytics, Level 4
Salary: £17,000 - £20,000 per annum.

Key Responsibilities:

  • Data Collection and Cleaning: Assist in gathering, cleaning, and organising data from various sources to ensure accuracy and consistency.
  • Data Analysis: Analyse data to identify trends, patterns, and insights that can inform business strategies.
  • Model Building: Support the development of predictive models and algorithms to forecast staffing needs, optimise scheduling, and improve operational efficiency.
  • Data Visualisation: Create clear and compelling data visualisations and dashboards using tools like Google Data Studio, Power BI, or Tableau.
  • Collaboration: Work closely with the management team and other departments to understand business needs and translate them into data-driven solutions.
  • Reporting: Assist in preparing regular reports and presentations to communicate findings and recommendations to stakeholders.

What we are looking for:
Key skills and attributes:

  • Passion for Data: A strong interest in data analysis, statistics, and data-driven decision-making.
  • Analytical thinking: Ability to think critically and solve problems using data.
  • Technical skills: Basic knowledge of programming languages such as Python or R, and familiarity with data analysis tools.
  • Attention to detail: Strong focus on accuracy and detail, particularly in data processing and analysis.
  • Communication skills: Ability to convey complex data insights in a clear and understandable manner.
  • Teamwork: Willingness to collaborate with team members and contribute to a positive team environment.
  • Tech-savvy: Familiarity with Google Workspace (Docs, Sheets, Slides) and an eagerness to learn new data tools and technologies.
  • Enthusiasm: For learning and developing a career in data science.

Entry requirements
Standard entry:

  • Level 3 qualification (apprenticeship/A-levels/BTEC, etc)
  • OR equivalent work experience (typically two years in a relevant role)

Plus:

  • 5 GCSE's, including English and Maths at Grade 4 (C) or above
  • Experience with using Excel (in particular pivot tables and XLookup) and Microsoft products (or similar)

Working week: 8:30am - 5:30pm from Monday - Thursday and from 8:30am - 4:30pm on Friday's.

Benefits:

  • Training and Development: Gain hands-on experience in data science and analytics, with ongoing mentorship and support.
  • Flexible working: Hybrid working options are available, combining office and remote work.
  • Company perks: Access to company events, training sessions, and wellness programs.
  • Career progression: Opportunity to gain enough experience upon successful completion of the apprenticeship to further your career.

Future prospects:
90% of QA Apprentices secure permanent employment after finishing their apprenticeship.
Additionally, there may be opportunities to undertake further apprenticeship training as many of our programs offer on-going development tracks.

Important information:
Our apprenticeships are the perfect way to gain new skills, earn while you learn, and launch yourself into an exciting future. With over 30,000 successful apprenticeship graduates, we're a top 50 training provider, dedicated to helping you succeed.
Apply now!

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