

Harnham
Analytics Engineering Insight Lead
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Analytics Engineering Insight Lead (Part-Time) based in London, with a 3-month contract at £300-£400 per day. Key skills include data ingestion, customer segmentation, and data quality management, requiring full-stack data expertise.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
400
-
🗓️ - Date
December 20, 2025
🕒 - Duration
3 to 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
London, England, United Kingdom
-
🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Data Ingestion #Datasets #Data Quality #Customer Segmentation
Role description
Analytics Engineering Insight Lead (Part-Time)
Location: Ideally 1 day per week in London
Contract Length: 3 months
Day Rate: £300-£400pd
Start Date: January
Overview
This role sits at the intersection of analytics engineering and insight, supporting both growth and operational teams. The focus is on customer segmentation, lifecycle analysis, and generating high-quality, actionable insights. The successful candidate will be a full-stack data practitioner, comfortable owning data end to end rather than operating purely in reporting.
Key Responsibilities
Growth & Operations
• Split time between growth-focused and operational analytics
• Lead customer segmentation initiatives to deepen understanding of customer behaviour
• Analyse and track customer movement through the end-to-end lifecycle
• Ensure high standards of data quality, cleanliness, and reliability
Reporting & Insights
• Take ownership of the data ecosystem end to end, including:
• Data ingestion
• Data modelling
• Data transformation
• Understand and document:
• Data origins
• How data flows into and through the database
• Model and join data across multiple datasets
• Create new datasets where gaps exist
• Prepare data so it is analysis- and report-ready
• Work closely with stakeholders to contextualise insights and support decision-making
Reporting vs Analysis Split
• Much of the foundational data work is already in place
• Expected time allocation:
• 70% analysis and insight
• 30% maintaining and improving data foundations
Analytics Engineering Insight Lead (Part-Time)
Location: Ideally 1 day per week in London
Contract Length: 3 months
Day Rate: £300-£400pd
Start Date: January
Overview
This role sits at the intersection of analytics engineering and insight, supporting both growth and operational teams. The focus is on customer segmentation, lifecycle analysis, and generating high-quality, actionable insights. The successful candidate will be a full-stack data practitioner, comfortable owning data end to end rather than operating purely in reporting.
Key Responsibilities
Growth & Operations
• Split time between growth-focused and operational analytics
• Lead customer segmentation initiatives to deepen understanding of customer behaviour
• Analyse and track customer movement through the end-to-end lifecycle
• Ensure high standards of data quality, cleanliness, and reliability
Reporting & Insights
• Take ownership of the data ecosystem end to end, including:
• Data ingestion
• Data modelling
• Data transformation
• Understand and document:
• Data origins
• How data flows into and through the database
• Model and join data across multiple datasets
• Create new datasets where gaps exist
• Prepare data so it is analysis- and report-ready
• Work closely with stakeholders to contextualise insights and support decision-making
Reporting vs Analysis Split
• Much of the foundational data work is already in place
• Expected time allocation:
• 70% analysis and insight
• 30% maintaining and improving data foundations






