Graduate Data Analyst

Graduate Data Analyst Job Description Template

Our company is looking for a Graduate Data Analyst to join our team.

Responsibilities:

  • Effectively evaluate and analyse data;
  • Work as part of a team to evaluate and analyse key data that will be used to shape future business strategies;
  • Perform regular client outreach to promote the company’s proposition and secure business;
  • Ensure that company data is record accurately and is correct;
  • Being that ‘go to’ person for all things data;
  • Creating, tracking and analysing campaigns;
  • Keeping a review tracker to help with the management of the client review process;
  • Supporting on key strategic projects;
  • Working with their in-house insight tool, uploading data and ensuring all data is accurate and ready for clients;
  • Assisting with the development of their insight tool and carrying out quality assurance testing;
  • Liaise as appropriate with clients over the phone or in-person;
  • Production of ad-hoc analysis for clients, agreeing on project objectives, identifying customer trends and detailing key recommendations;
  • Producing data visualisation dashboards for the clients to clearly show how successful the client’s marketing campaign has been;
  • Involvement in bespoke analytical projects for clients;
  • Organisation and manipulation of data.

Requirements:

  • A positive and enthusiastic attitude in all environments, with a strong will to succeed;
  • An ambitious nature and a curiosity to learn and improve new technologies in a growth focused business;
  • A strong numerical & Excel skillset is a must (ability to work with sales data in Excel/CSV formats and create and edit complex charts);
  • A basic understanding of statistical concepts such as averages and trends;
  • A 2.1 degree or higher from a top university;
  • 2:2 equivalent or above in data related degree ? economics, maths, engineering or related;
  • Able to think systematically and critically;
  • Able to conduct analysis and find patterns or errors in data;
  • Ideally some python;
  • Basic SQL;
  • A-Levels, including maths;
  • 2:2 (or equivalent) or above in a mathematical degree;
  • Strong Excel skills (VLOOKUP function, pivot tables);
  • Any experience with data would be beneficial;
  • Excellent organisational skills and ability to handle multiple activities with changing priorities simultaneously.