During this 2 year apprenticeship, you will be part of a cross-disciplinary team, working closely with other data analysts, product managers, data scientists, data engineers, software engineers, data managers and business partners. You will be part of a team whose responsibilities include:
Responsibilities
- Building scalable, reusable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers.
- Carrying out data analyses to yield actionable business insights.
- Adhering to and advocating for data science and best practices (e.g. technical design, technical design review, unit testing, monitoring & alerting, checking in code, code review, documentation)., 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 elevate 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 elevate 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 tools to achieve the optimum outcome
Training schedule
- The data analytics apprenticeship will lead to a Level 4 qualification, following an apprenticeship standard aligned with L4 data analyst such as: https://skillsengland.education.gov.uk/apprenticeships/st0118-v1-1. For which the provider is likely to be Corndel, however, may be subject to change. Level 4 Data Analyst Apprenticeship - Corndel
- The formal learning will be a combination of online and in person.
- A minimum of 6 hours of your working time will be protected for formal learning.
GCSE in:
English and Maths (grade 4) A Level in: Computer Science/IT, Maths or Physics (grade C) Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know. - Communication skills
- Attention to detail
- Customer care skills
- Problem solving skills
- Analytical skills
- Team working, Demonstrable coding knowledge, which may be tested throughout the recruitment process. Applicants with a level 3 apprenticeship qualification will also be considered.
- bp is a global company that offers a world of opportunities for professionals as well as those starting out in their career. We\'re guided by our purpose and ambition to become a net zero company by 2050 or sooner, and help the world get there too. What does this mean for you? It means you can expect purposeful work, world-class training and the flexibility to realize your full potential. Not to mention the chance to join a company committed to delivering more sustainable energy for all. Ready to crack on? Your perfect job match awaits.
Our digital apprenticeship programs are 2 years long. During this time, you\'ll work on different projects alongside learning day to day operations, to become a rounded professional. - Wage £22,100 a year Check minimum wage rates (opens in new tab)
- A generous flexible benefits allowance £1,500 wellbeing allowance Annual bonus plan Option to participate in share plans A one off settling in allowance of £3,000
