location_onCambridge, UK
watch_later Posted: Jul 18, 2024
Skills Required
Nice To Have skills
Job Description
We are looking for an enthusiastic individual who likes seeking new data challenges in a proactive manner where the opportunities to make a difference are there to be grabbed!
We cover a wide variety of sectors such as Food, Healthcare, Built Environment, Aerospace, and partner with both public and private organisations to make our world safer, more secure, and resilient.
Responsibilities:
- Engage with data owners across the organisation to identify data analysis opportunities to ethically leverage BSI business data and drive solutions.
- Mine and analyse BSI-wide data to drive optimization and improvement of product development, marketing techniques, and business strategies.
- Conduct end-to-end analysis that includes scoping, data gathering, ongoing deliverables, and presentation. Develop and present demonstrations and prototypes to communicate the opportunities presented by data analysis in BSI.
- Maintain a portfolio of tools and technologies to ensure that BSI is prepared to leverage a diverse range of both structured and unstructured data and continually assess their efficiency and accuracy.
- Continually review BSI's portfolio of projects to identify where data generated can contribute to insights.
- Develop a companywide testing framework, as well as testable hypotheses in conjunction with domain experts from the business followed by appropriate algorithms and data models. Perform speculative analysis of data sets.
- Advise the business about metrics and the collection of data.
- Engage with stakeholders to ensure that data insights are effectively communicated through the most appropriate data visualisation and navigation tools.
- Use predictive modelling to increase and optimize business outcomes.
To be successful in the role, you will have:
- Educated to degree level in mathematics, computer science, or engineering.
- A relevant postgraduate qualification (Essential)
- Strong statistical analysis skills
- Knowledge of Mathlab or R
- Knowledge of predictive models
- Strong scripting skills (Python, NumPy)
- Knowledge of ETL techniques and tools
- Knowledge of 'big-data' architectures such as Hadoop
- Strong relational database skills - SQL, stored procedure, development, and a knowledge of database development
- Knowledge of open-source tools such as Elasticsearch, Kibana
- Experience in the analysis of both structured and unstructured data
- Proven ability to take initiative in a data analysis role.
- Ability to quickly assimilate data structures and relationships across data sources.
- Excellent communication and presentation skills
- Strong interpersonal skills and a proven ability to elicit requirements from both technical and non-technical stakeholders.
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