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Data Analyst

Confidential · London · Remote · Senior

  • London · Remote

Indexed (13 days ago) · refreshed constantly

Budget
£63–75 / h
Start
flexible
Work mode
Remote
Contract
Freelance / B2B
Seniority
Senior
Reference
e1aeb1da-8723-4ba1-d23d-08d5948a7341

Job description

Project overview

Data Analyst

Remote | Inside IR35

Rate £500 - £600 per day

This is an exciting opportunity to join a major data transformation programme, helping to evolve a cloud analytics platform used by external clients. You'll play a key role in adapting data pipelines, analytical tools, and data assets for a new cloud environment, contributing to a project with meaningful impact and technical challenge.

The Company

This organisation is a leading provider of data, analytics, and technology solutions, supporting businesses with data-driven decision making. They are investing heavily in the development of their cloud analytics capabilities and are enhancing the way data products are delivered to external users. As part of this programme, they are looking for experienced Data Analysts to help ensure a seamless transition to a new platform environment.

The Role and Deliverables

Your Skills & Experience

How to Apply

If you're a Data Analyst or Data Engineer with strong Python and SQL expertise looking to contribute to a high-profile cloud analytics transformation project, apply today to learn more about this contract opportunity.

  • Modify and enhance existing data pipelines for operation within a new cloud analytics platform.
  • Adapt analytical tools and data assets for use by external sandbox clients.
  • Analyse, validate, and transform datasets to ensure accuracy, quality, and integrity.
  • Collaborate with technical and business stakeholders to gather requirements and deliver effective solutions.
  • Troubleshoot and resolve data processing, performance, and quality issues.
  • Support ongoing optimisation and enhancement of analytics capabilities across the platform.
  • Strong Python development skills, including hands-on experience with Pandas.
  • Advanced SQL capability, including writing and optimising complex queries.
  • Experience working with large datasets and analytical workflows.
  • Strong problem-solving skills with the ability to investigate and resolve data issues.
  • Experience working in cloud-based analytics or data platform environments.
  • Knowledge of PySpark and Google BigQuery is highly desirable.
  • Exposure to data engineering environments and ETL processes is beneficial.
  • Strong communication skills and the ability to work effectively with cross-functional stakeholders.

Project details

  • Start: flexible
  • Remote: remote
  • Location: London
  • Rate: 63-75 EUR/h

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