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Data Analyst

Hypercreate LtdMonument, Central London🇬🇧United KingdomPosted 25 Jul 2026

Why This Role Stands Out

This hybrid Data Analyst role at Hypercreate Ltd offers a fantastic opportunity to develop your analytical and reporting skills while directly impacting key business decisions. You'll thrive here if you enjoy transforming data into actionable insights and collaborating with diverse teams, with the flexibility of a hybrid work model enhancing your work-life balance. Apply now to join a growing analytics function and build your career in the technology sector.

Quick Overview

Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Monument, Central London, United Kingdom
Posted
4 weeks ago
SQLTableauPower BIPython

Job Description

Our client is looking for a detail-oriented Data Analyst to support its growing analytics function. The successful candidate will help turn business data into clear insights that support operational, commercial and customer-focused decisions. The Role You will work with colleagues across the business to collect, clean, analyse and present data. This role is ideal for someone who enjoys problem-solving, working with numbers and creating clear reports for non-technical stakeholders. Key Responsibilities

  • Extract, clean and validate data from internal systems and spreadsheets.
  • Produce regular reports, dashboards and performance summaries.
  • Identify data trends, inconsistencies and opportunities for improvement.
  • Support ad hoc analysis for operational and commercial teams.
  • Maintain accurate data records and documentation.
  • Create visualisations using Excel, Power BI or similar tools.
  • Work with stakeholders to understand reporting requirements. About You
  • Strong Excel skills, including formulas, PivotTables and data validation.
  • Analytical mindset with strong attention to detail.
  • Familiarity with Power BI, SQL, Python or Tableau is advantageous.
  • Ability to communicate findings clearly and professionally.
  • A degree, training programme, portfolio project or relevant practical experience in data, business, finance or technology is desirable

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