Our client, a leading IT Services Provider for Education, is looking for a Data Analyst to join their team.
This is a contract position based in London running for an initial 3 months.
The post holder will:
- Own the operational execution and the overall quality output required by the clients.
- Work with Project and Development departments to ensure the successful delivery of customer requested changes to the products and services.
- Work directly with clients to manage the process for clarifying scope and details of requirements.
- Identify, document and execute effective means to quality assure data from receipt through to final output.
- Identify and mitigate technical risk.
- Support new business development by ensuring delivery of the appropriate data outputs to the required quality for new or pilot projects.
- Hold in-depth knowledge of the educational data landscape along with specific expertise in data and statistical analysis.
- Have a thorough understanding of the educational data which relates to the sectors in which the client operates.
- Degree level qualification
- Ability to use SQL or general purpose tools to interrogate databases and calculate statistical outputs.
- Understanding of statistics
- Understanding of formal test methodologies (e.g. V-model, Agile, Waterfall)
- Negotiating and influencing at a senior customer level
- Understanding of ITIL v3 best practices
- Solid numerical abilities
- Evidence of knowledge of the Educational data landscape
- Basic data domain knowledge in education e.g. different types of establishments, subjects, types of qualification, i.e. data dimensions (age, gender, level of qualifications)
- Understanding of the meaning of basic descriptive statistics - average, mean, median, percentiles etc.
- Ability to sense check figures based on an understanding of how data relates to the real world e.g. identifying, querying and investigating variations in measures from year to year to explain why they have occurred.
- Ability to test and analyse what might have gone wrong if figures do not make sense
- Degree level qualification in a numerical discipline
- Intermediate level of data literacy
- Understanding of more advanced statistical terms - regression, confidence intervals and significance, clustering / statistical families.
- Understanding of analysing data from surveys (weightings, standard errors)
- Ability to construct and test more complex hypothesis of what might have gone wrong if figures do not make sense
Interested candidates should submit their CV in the first instance.