Senior Data Analytics Consultant

Harnham - Data and Analytics Recruitment
London, United Kingdom
Today
£60,000 – £65,000 pa

Salary

£60,000 – £65,000 pa

Seniority
Senior
Posted
11 Sep 2026 (Today)

SENIOR DATA ANALYTICS CONSULTANT

LONDON/HYBRID

UP TO £65,000

If you're looking for a role that combines advanced analytics with genuine client influence, this is an excellent opportunity to join a leading global data and AI consultancy. You'll work on high-profile analytics engagements, helping major organisations use data to improve decision-making, drive growth, and unlock commercial opportunities.

ROLES AND RESPONSIBILITIES:

The Senior Data Analytics Consultant will:

  • Lead client-facing analytics engagements and building trusted stakeholder relationships.
  • Understand business challenges and translating requirements into analytical solutions.
  • Present insights and recommendations to both technical and non-technical audiences.
  • Work with large and complex datasets to identify trends, risks, and growth opportunities.
  • Develop SQL-based analytical solutions and scalable reporting frameworks.
  • Build and maintaining dashboards using tools such as Tableau, Looker, or similar BI platforms.
  • Harmonise multiple data sources and ensuring data quality and consistency.
  • Apply statistical and analytical techniques to uncover drivers of business performance.
  • Manage project timelines, risks, governance, and stakeholder communications.
  • Collaborate with data, engineering, and consulting teams to deliver high-quality solutions.

YOUR SKILLS AND EXPERIENCE:

The ideal candidate will have the following skills and experience:
  • Advanced SQL skills, including data extraction, transformation, optimisation, and analysis.
  • Strong background in data analytics and business intelligence.
  • Experience working with large and complex datasets.
  • Stakeholder management and client-facing experience.
  • Dashboard development using Tableau
  • Ability to translate analytical findings into actionable business recommendations.
  • Strong communication and data storytelling skills.
  • Experience presenting insights to technical and non-technical audiences.
  • Commercial mindset with the ability to explain the drivers behind business performance.

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