Data Analyst (Contract) at Digital Waffle , London, £300-£350 per day

£300 - £350 per day

Contract Description

Role: Data Analyst (Contract) - Outside IR35
Location: Fully Remote (UK)
Rate: £300- £350 per day
Contract: Initial 6 Months (Likely Extension)

Key Skills:

  • SQL
  • PowerBI
  • ETL
  • Databricks

We 're currently supporting a growing technology business that is looking to engage an experienced Data Analyst on a fully remote contract basis.

This role will suit someone who is highly analytical, commercially minded, and comfortable working with large datasets to deliver meaningful insights that support business decision-making. You 'll work closely with stakeholders across the business, helping transform complex data into clear, actionable reporting and visualisations.

Key Responsibilities

  • Analyse large and complex datasets to identify trends, patterns, and business insights
  • Develop and maintain dashboards and reporting solutions using Power BI and Tableau
  • Write complex SQL queries to extract, manipulate, and analyse data
  • Support data integration and migration activities
  • Work with ETL processes to ensure accurate and reliable data flows
  • Collaborate with business stakeholders to understand reporting requirements and deliver data-driven solutions
  • Present findings and recommendations to both technical and non-technical audiences


Required Skills & Experience

  • Strong commercial experience as a Data Analyst
  • Advanced SQL skills, with the ability to query and manipulate large datasets
  • Strong experience with Power BI and/or Tableau
  • Good understanding of ETL processes and data pipelines
  • Experience working with Databricks from an analytical perspective (querying, analysing and consuming data rather than building engineering solutions)
  • Strong stakeholder management and communication skills
  • Experience working within Agile delivery environments


Desirable

  • Experience supporting data migration or integration projects
  • Background within SaaS, technology, telecommunications, or data-driven organisations
  • Exposure to cloud-based data platforms