Data Entry Intern - Nesta Internship

University of London · Competitive · London
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LondonInternshipJob title: Data Entry Intern (Challenging Prizes)- Nesta Internship

Salary: London Living Wage London Living Wage £10.55 per hour - £395.62 per week

Location: Blackfriars, London

Term: 3 weeks

Hours: Full-time, 37.5 per week

Deadline: Advertising from the 15th July 2019 and will be shortlisting immediately

To Apply: Any applications made to Nesta directly will not be considered in their recruitment process


The temporary role is up to 3 weeks, where we expect the individual to complete the Nesta Challenges Impact Framework specifically for our earlier prizes, to locate high-level information about the prize itself, the innovators - organisation type, location, size, gender representation, skills and capabilities development and potential wider ecosystem impacts that the prizes may have had.

The actions / tasks of the Data Entry Role;

  • Conduct review of data (found in documents, PDFs, spreadsheets, etc.)
  • Create spreadsheet for specific prize information and collate data here
  • Enter data required into NC Impact Framework
  • Create a separate spreadsheet for any additional data that falls outside of the NC Impact Framework

In particular these are the prizes they will be looking at to complete some data digging around;

  • Hands Off My Bike! Challenge (missing a lot of data, but still unable to locate key files)
  • Open Data Challenge Series (full review and entry of data)
  • Dynamic Demand (full review of prize materials and report to fill in missing data)
  • UNDP Renewable Energy Challenge (missing a lot of data, but still unable to locate key files)
  • EUSIC 2013, 2014, 2015, 2016 (full review of data needed, the earlier EUSIC prize entries are on PDF)
  • EUSIC Impact Prize 1, 2 (full review and entry of data)
  • Families Included (full review of data needed)
  • AAL 2016 (Some data is missing)
  • Open Up 2017, 2018 (Data is readily available I believe, as Andrea has it on a separate impact framework).

The skills we believe will need are:

  • Data Entry
  • Data Analysis
  • Ability to quickly grasp concepts and contexts quickly
  • Excellent attention for detail
  • Strong IT skills (Microsoft Office, Google Suite)
  • Planning and prioritisation


Qualifications:

Da
  • Data Entry
  • Data Analysis
  • Ability to quickly grasp concepts and contexts quickly
  • Excellent attention for detail
  • Strong IT skills (Microsoft Office, Google Suite)
  • Planning and prioritisation

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