Job description
- Role: Data Analyst
- Start Date: 06.04.21 ( but Foolproof onboarding 01.04 due to bank holidays)
- Duration: 3 months with likely extension to 6 months
Role description
As an Analyst you will be responsible for crafting analytical responses as part of our UX and digital design consultancy to some of the world’s biggest and best-known brands.
Role and responsibilities
· Lead, manage and deliver a wide range of user analytics projects, taking responsibility for the quality of thinking and deliverables, making sure they run to time and budget.
· Conduct analytics using a variety of tools including Google Analytics, Adobe Analytics, Jupyter Notebooks - an ability to programme in a database language such as SQL and having experience of languages such as Python or R a distinct advantage.
· Develop data insight into audiences and customer behaviour to inform meaningful recommendations to achieve your clients’ project and commercial objectives.
· Writing and presenting persuasive and authoritative reports and presentations.
· Be a valuable member of multi-disciplinary teams working on larger design and build programmes by providing customer insight and shaping every aspect of the product or service we are creating.
· Work with the wider Foolproof team to identify, scope and win new opportunities.
Essential qualities
· Excellent communication skills from an internal email through to a client presentation.
· Excellent relationship building skills with the ability to create rapport and build relationships with clients and colleagues.
· You will come from a background that has allowed you to use your analytical skills in a commercial environment, and to craft your career with a variety of tools and methodologies.
· You’ll have commercial awareness, including an understanding of return on investment and online marketing metrics, and complete commitment to evidence and insight as the back-bone of design.
· A team player with excellent time management skills.
· Excellent report writing and presentation skills, competent using Excel, Word and PowerPoint.
Experience
· Three to five years in a commercial environment, where you have been using insight about audiences, behaviors and sentiment to inform the design of better digital experiences.
· Detailed knowledge and practical experience of a wide range of analytics methodologies.
· Experience of working with teams across disciplines (design, dev, engineering) to embed analytics into strategy and operations.
· Likely educated to degree level (mathematics/statistics, sciences, computer science, operational research). Experience and aptitude more important than a specific degree