Data Analyst at Hays Specialist Recruitment Limited
London, London - England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

01 Dec, 26

Salary

0.0

Posted On

02 Sep, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Industry

Information Technology & Services

Description

Data Analysts could play a key role in transforming raw data into strategic insights that drive business decisions across our organisation. This opportunity reflects our continued focus on strengthening our data capabilities through specialist expertise.

Please note the content of this advert does not represent a live vacancy.

About the opportunity

This is an opportunity to register your interest in future Data Analyst positions within our London office. Roles of this type could involve partnering with stakeholders across the business to gather data requirements, design robust data pipelines, and ensure data quality that supports informed decision-making. You would operate within a collaborative environment where your analytical mindset and attention to detail could directly influence how teams access and interpret data.

Typical role overview

  • Location: London, Greater London, England
  • Type: Contract · Full-time
  • Rate: £400–500 per day
  • Focus: Data requirements, pipeline alignment, data quality analysis and stakeholder engagement

What you would do

Typical responsibilities could include:

  • Gathering and documenting data requirements from business stakeholders
  • Supporting the design and alignment of data pipelines to meet defined needs
  • Conducting data quality analysis to identify gaps, inconsistencies and improvement opportunities
  • Engaging with stakeholders to communicate findings and support data-driven decision-making
  • Contributing to financial and operational analysis where data supports business outcomes
  • Supporting the maintenance and optimisation of existing data processes

What you could bring

Most roles of this type require the following:

  • Proven experience in data requirements gathering and stakeholder engagement
  • Working knowledge of data pipeline design and data quality assessment methodologies
  • Proficiency with SQL and data analysis tools such as Power BI or similar platforms
  • Strong analytical and problem-solving skills with attention to detail
  • Ability to translate business needs into technical data specifications
  • Bachelor's degree in Mathematics, Computer Science, Statistics or related field (Master's degree preferred)
  • Authorisation to work in the United Kingdom

What roles of this type could offer

Most roles of this type offer the following, dependent on the industry and seniority of the role:

  • The opportunity to develop specialist expertise in data quality and pipeline management
  • Exposure to diverse data challenges across the business
  • Potential to shape how data is understood and used across teams
  • Contract flexibility with a competitive daily rate of £400–500
  • Access to professional development and the chance to work alongside experienced data professionals
  • Support within a collaborative, data-focused environment

About SThree

SThree is the global STEM workforce consultancy.

We advise businesses, build expert teams and deliver project solutions to outpace tomorrow, together.

Across the UK, we connect talented specialists with cutting-edge opportunities across technology, engineering, life sciences and financial services supported by our offices in London, Birmingham, Manchester, Glasgow and Leeds

How to register interest

If you are interested in being added to our database to be considered for future opportunities, registering is quick and easy. No cover letter required. We will be in touch when we are instructed on these roles to discuss the next step in your career.

Disclaimer:

Please note that the content of this advert does not represent a live vacancy or any guarantee of future vacancies, and by responding to this advert you agree to us adding your details to our database for future opportunities.

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