Data Analyst - Operations Insights - Apprenticeship

RANDSTAD GROUP UK

Farnborough, GU14 6FE

Closes today at 11:59pm

Posted on 16 December 2024


Summary

Our client is looking for a driven individual with strong IT skills and office administration experience to join their team. As an apprentice, you'll provide reporting to the UKI business, supporting Operations Managers and collaborating with other departments. You'll contribute to forecasting and business management packs for senior leaders.

Annual wage
£25,000 a year

Minimum wage rates (opens in new tab)

Training course
Data analyst (level 4)
Hours
Monday to Friday, 9.00am - 5.00pm.

37 hours 30 minutes a week

Possible start date

Monday 6 January

Duration

2 years

Positions available

5

Work

As an apprentice, you’ll work at a company and get hands-on experience. You’ll gain new skills and work alongside experienced staff.

What you’ll do at work

Key Responsibilities:

  • Operations Team Support: Provide reporting and insights to the UKI Operations Team, ensuring they have the necessary information to complete their tasks effectively
  • Best Practice Implementation: Collaborate with UKI functions to identify and implement best practice tools and processes
  • Reporting & D365 Account Creation: Support the reporting activities and D365 account creation process for the UKI business
  • Business Insights & Discovery: Provide the UKI Chief of Staff and wider UKI SLT with business insights and discovery
  • Data Centralisation Project: Contribute to the UKI Data Centralisation project and drive the vision of One Source of Data
  • Data Analysis & Recommendations: Analyse data to produce insights and recommendations that guide business planning and strategic decisions
  • Reporting Process Improvement: Lead the development of improved reporting processes and tools across the business
  • Documentation: Maintain documentation of all processes and tasks.
    Best Practice Sharing: Collaborate with other regions, geos, and worldwide teams to share best practice learnings
  • Cross-Functional Collaboration: Work closely with the UKI Operations team, UKI Finance team, and EMEA Reporting team to develop reporting and insight recommendations
  • BMS, Mx, QBR, & STAMP Support: Provide support for the BMS, Mx, QBR, and STAMP processes for the UKI business

About the Apprenticeship:

  • The data analyst will be responsible for working within the data architecture of the company and ensuring that the data is handled in a compliant, safe and appropriately secure manner, understanding and adhering to company data policy and legislation
  • Data analysis is a fast-moving and changing environment, and data analysts need to continue to stay abreast of, and engaged with, changes and trends in the wider industry; including data languages, tools and software, and lessons learnt elsewhere.
  • Our apprenticeship standard is delivered via our virtual learning platform. With support from specialist trainers, 121 skills coaches and our learning platform ‘Aptem’ where you will complete the learning programme
  • An apprenticeship includes regular training with our training provider Pateto. At least 20% of your working hours will be spent training or studying

Where you’ll work

25 Templer Avenue

Farnborough

GU14 6FE

Training

An apprenticeship includes regular training with a college or other training organisation. At least 20% of your working hours will be spent training or studying.

College or training organisation

PARETO LAW LIMITED

Your training course

Data analyst (level 4)

Equal to higher national certificate (HNC)

Course contents
  • 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
  • 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

Your training plan

Data Analyst Level 4 Apprenticeship Standard:

  • Our apprenticeship standard is delivered via our virtual learning platform
  • With support from specialist trainers, 121 skills coaches and our learning platform ‘Aptem’ where you will complete the learning programme
  • An apprenticeship includes regular training with our training provider Pateto
  • At least 20% of your working hours will be spent training or studying

Requirements

Essential qualifications

GCSE in:

  • Maths & English (grade C/4)

Let the company know about other relevant qualifications and industry experience you have. They can adjust the apprenticeship to reflect what you already know.

Skills

  • Communication skills
  • IT skills
  • Attention to detail
  • Organisation skills
  • Problem solving skills
  • Presentation skills
  • Administrative skills
  • Number skills
  • Analytical skills
  • Logical
  • Team working

About this company

Randstad is the world's largest recruitment agency who are looking for an Apprentice Business Support Coordinator to join our team in Stevenage

Company benefits

Exclusive Discounts: Everything from shopping to entertainment Free Amenities: Enjoy free tea, coffee and fruit Free Parking: Convenient on-site parking to make your commute stress-free Accessible Commute: Shuttle bus from station to get to site

After this apprenticeship

  • Potential to open up job opportunities

Ask a question

The contact for this apprenticeship is:

PARETO LAW LIMITED

The reference code for this apprenticeship is VAC1000292131.

Apply now

Closes today at 11:59pm

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