CodeGeniusRecruit
Analytics Specialist - Remote
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Analytics Specialist, remote, with a commitment of 10-40 hours/week. Requires professional experience in data analysis, proficiency in SQL, Python or R, and strong communication skills. Contract length exceeds 6 months, pay rate unspecified.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
960
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🗓️ - Date
May 1, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United Kingdom
-
🧠 - Skills detailed
#Data Science #SQL (Structured Query Language) #Data Analysis #R #Python
Role description
Work Snapshot
Type: Full-time position
Location: Remote
Commitment: 10 40 hours/week
What You Ll Be Doing
• Review existing analytics slides, notebooks, and sheets and provide detailed, constructive feedback
• Create original analytics artifacts from scratch (insight decks, ad-hoc analyses, A/B-test write-ups, modeling spreadsheets)
• Annotate and commentate on artifacts to improve structure, narrative, and analytical rigor
• Apply data-analysis expertise to ensure artifacts reflect realistic, high-quality professional output
What We Re Looking For
• Professional experience in data analysis, analytics engineering, or data science
• Comfortable with SQL, Python or R, and presenting findings to non-technical stakeholders
• Strong attention to detail and written communication
• Self-directed; can deliver consistent, high-quality work on a flexible schedule
How To Apply
• Upload resume
• Interview
• Submit form
Work Snapshot
Type: Full-time position
Location: Remote
Commitment: 10 40 hours/week
What You Ll Be Doing
• Review existing analytics slides, notebooks, and sheets and provide detailed, constructive feedback
• Create original analytics artifacts from scratch (insight decks, ad-hoc analyses, A/B-test write-ups, modeling spreadsheets)
• Annotate and commentate on artifacts to improve structure, narrative, and analytical rigor
• Apply data-analysis expertise to ensure artifacts reflect realistic, high-quality professional output
What We Re Looking For
• Professional experience in data analysis, analytics engineering, or data science
• Comfortable with SQL, Python or R, and presenting findings to non-technical stakeholders
• Strong attention to detail and written communication
• Self-directed; can deliver consistent, high-quality work on a flexible schedule
How To Apply
• Upload resume
• Interview
• Submit form
