RESPONSIBILITIES

• work closely with your business to identify issues and use data to propose solutions for effective decision making
• build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organization
• use machine learning tools and statistical techniques to produce solutions to problems
• test data mining models to select the most appropriate ones for use on a project
• maintain clear and coherent communication, both verbal and written, to understand data needs and report results
• create clear reports that tell compelling stories about how customers or clients work with the business
• assess the effectiveness of data sources and data-gathering techniques and improve data collection methods
• horizon scan to stay up to date with the latest technology, techniques and methods
• conduct research from which you’ll develop prototypes and proof of concepts
• look for opportunities to use insights/datasets/code/models across other functions in the organization (for example in the HR and marketing departments)
• stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.

  Education and Experience

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or equivalent.
  • Typically 9+ years’ experience.

  Knowledge & Skills

  • Excellent analytical thinking, technical analysis, and data manipulation skills.
  • Expert level of skills in python/ R
  • Deep understanding of Data Integration (ETL) architecture
  • Expert level development experience with Azure data integration
  • Hands on experience on bigdata systems, Hadoop, Hive, Talend
  • Excellent analytical and problem-solving skills
  • Deep knowledge in database interrogation and analysis tools, such as Hadoop, SQL and SAS
  • Exceptional communication and presentation skills in order to explain your work to people who don’t understand the mechanics behind data analysis
  • Effective listening skills in order to understand the requirements of the business
  • Drive and the resilience to try new ideas if the first one doesn’t work – you’ll be expected to work with minimal supervision, so it’s important that you’re able to motivate yourself
  • Planning, time management and organizational skills
  • The ability to deliver under pressure and to tight deadlines
  • Great attention to detail
  • Teamworking skills and a collaborative approach to sharing ideas and finding solutions.
  • Experience with agile project management concepts (SCRUM)