Senior Data Analyst - London

Business Intelligence - Business Intelligence
Ref: 248 Date Posted: Thursday 19 Sep 2019
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RP Analytics are currently working with a specialist data & insights business with a particular focus on the pharmaceutical and healthcare sector.  They are looking to strengthen their data analytics function with the addition of a senior data analyst. 

You will be responsible for; 

  • Take the lead in the development of new products and tools
  • Participate in the development of analytical reports, including conducting analysis, summarising data and interpretation of results
  • Provide consultative support and responses to requests for information from internal and external clients
  • Lead on the development of analytical techniques and comparative analyses as needed
  • Provide input into providing effort estimates to account managers and providers
  • Assist with planning and scheduling jobs
  • Provide project management over other analysts in the team on individual projects where required
  • Coach and mentor other less experienced members of the analyst team
  • Work to maintain and improve peer review and quality assurance processes
  • Keeps current with respect to the relevant research literature and regular updates in key NHS datasets
  • Participate in the development of materials (e.g. educational, media, etc.) for dissemination of findings and knowledge translation

To be successful you will have; 

  • Ability to undertake a variety of activities with a substantial degree of personal responsibility and autonomy. It is important to be able to work independently within a team.
  • Excellent and advanced Excel skills, including writing macros and transformation of data
  • Experience of building bespoke dashboards in Tableau, or a similar BI tool
  • Excellent skills in SSMS for data manipulation/cleaning, relational databases and simple forms
  • Experience of manipulating and analysing large numerical and text-based data sets and transforming them into standardised, user friendly format
  • Strong knowledge of common statistical methods
  • Develop initiatives for providing more efficient bespoke tools in Excel and Tableau
  • Must have the ability to manage multiple projects, as well as meet time constraints and expectations.
  • Designing new approaches to the presentation of the data
  • Strong conceptual and problem-solving skills
  • Effective verbal communication skills; strong analytical and technical writing skills
  • Strong organisational skills (demonstrated ability to manage multiple projects and priorities)
  • Excellent interpersonal skills; ability to work as part of a multi-disciplinary team with minimal supervision