Senior Data Analyst

apartmentMichael Page placeCity of London calendar_month 

About Our Client

The client is a well-respected organisation dedicated to advancing science and innovation, with a particular focus on supporting the physics community. They work on high-impact projects, providing data-driven insights to influence policy, research, and industry engagement across the UK and Ireland.

Job Description

Key responsibilities of this role include:

  • Collecting and analysing data from a wide range of sources to drive insights.
  • Developing and implementing processes for data collection, storage, and analysis.
  • Designing and optimising complex data workflows to support project needs.
  • Creating compelling data visualisations to communicate insights effectively.
  • Collaborating with internal teams to develop data-driven strategies for projects.
  • Advising senior stakeholders on data processes, security, and best practices.
  • Leading data-related projects and ensuring they meet key milestones and KPIs.
  • Ensuring data security and integrity across all stages of development.

The Successful Applicant

The successful candidate will have significant experience as a data analyst, ideally with a physics or science background, and a strong ability to analyse structured and unstructured data. They should be highly skilled in Python and data visualisation tools, with a proven track record of designing and implementing data workflows.

Personal qualities include being a proactive and strategic thinker, able to work independently and manage multiple projects effectively. They should possess excellent communication skills, with the ability to explain complex data to non-technical audiences, and a collaborative mindset to work across teams.

A strong focus on data security and a commitment to quality assurance are essential.

What's on Offer

This role offers a competitive salary of up to £38K and the opportunity for hybrid working with just one day a month in King's Cross, providing flexibility and a great work-life balance. The successful candidate will also benefit from a supportive and collaborative work environment, with the chance to work on high-impact projects that shape the future of the science and physics landscape.

Additionally, there are opportunities for personal development through training and exposure to advanced data analytics tools and techniques. The role offers the chance to grow within a dynamic and forward-thinking organisation, making a real difference in data-driven decision-making.

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