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Data Research Analyst

  • Location:

    London

  • Sector:

    Data and Analytics

  • Job type:

    Contract

  • Job functions:

    Data Analyst

  • Salary:

    £475 - £525 per day

  • Contact:

    Dhrusha Shah

  • Contact email:

    dhrusha.shah@lafosse.com

  • Job ref:

    LFA - 57445_1610359366

  • Published:

    5 days ago

  • Duration:

    3 Months

  • Expiry date:

    2021-02-10

  • Startdate:

    ASAP

This is a 3-month contract role, with an immediate starting date for a Data Research Analyst. You must be SC Cleared.

As a Research Analyst, you would be required to deliver improvements to economic statistics by conducting research, delivering improvements and providing leadership to development and transformation projects. These improvements span upgrading existing compilation methods and processes, making better use of existing data sources, and developing entirely new methods, processes and/or data sources.

This particular role focuses on subnational statistics on trade and involves responsibility for leading and managing research and development workstreams and delivering technical or analytical work.

The role requires engagement with internal and external stakeholders to understand the requirements, collate the evidence, and deliver on the research or method under investigation. The role may require contribution to the drafting of technical papers and/or articles for stakeholders and/or customers.

Key skills required:

  • Demonstrable experience of applying analytical tools and methods to provide high quality quantitative and qualitative analysis. Ability to identify information gaps and weaknesses and anomalies in own analysis/research and that of others.
  • Demonstrate an ability to act independently in the application of specialist knowledge to arrive at evidenced conclusions, options and recommendations.
  • An ability to apply basic approaches to plan, monitor and deliver their own work to a high quality in a timely manner; identifying risks and issues where appropriate.
  • Experience with STATA and ability to convert STATA code to Python, R, R Shiny, or Spark.

For more information, please apply.