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PART TIME - Contract | Data Analyst | Remote | Outside IR35 | £225-£250 per day | 3 months

Opus Recruitment Solutions Ltd

London

Remote

GBP 100,000 - 125,000

Part time

19 days ago

Job summary

A leading recruitment agency is seeking a Part-Time Contract Data Analyst to assist a major client with data analysis tasks over a 3-month contract. The ideal candidate will have strong analytical skills and experience with large data sets, data visualization tools, and data management languages like Python and SQL. This role offers fully remote work with a commitment of 1–2 days per week.

Responsibilities

  • Assist client with data analysis for a main customer.
  • Collaborate on handling and analyzing large data sets.
  • Present comprehensive reports and recommendations based on data.

Skills

Handling large, complex data sets
Strong analytical skills
Data interpretation for informed decision-making
Experience with BigQuery or Snowflake
Data visualization tools (PowerBI, Looker Studio, Tableau)
Report presentation on data analysis findings
Experience with Python / SQL
Job description
Part-Time Contract Data Analyst

I'm looking for a contract Data Analyst to join my client and assist with one of their main customers for an initial 3-month period, with the possibility of extension.

  • Rate: £225–£250 per day outside IR35
  • Commitment: 1–2 days per week
  • Contract Length: 3 months
  • Location: Fully Remote
  • Start Date: ASAP
Skills for Success
  • Experience handling large, complex data sets
  • Strong analytical skills to unify, collate, analyze, and interpret data to define actions
  • Ability to read and analyze data for informed decision-making; proficient with analytics software and user behavior tools
  • Experience working with data lakes such as BigQuery or Snowflake
  • Data visualization experience with tools like PowerBI, Looker Studio, Tableau
  • Proven ability to present comprehensive reports on data analysis findings and recommendations
  • Experience with Python / SQL for managing, transforming, and overlaying models onto data

If interested, please send your most recent CV. I look forward to hearing from you if you seem like a good fit.

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