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Lead Data Analyst - D2C eCom Consultancy

www.cranberrypanda.co.uk - JobBoard

London

Hybrid

GBP 50,000 - 90,000

8 days ago

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Job summary

An innovative consultancy is seeking a Lead Data Analyst with expertise in DTC eCommerce to drive insights and growth. This role involves analyzing customer behavior and order data to identify key growth levers and developing structured frameworks for actionable insights. You will work with advanced BI tools to visualize data and provide recommendations that are commercially sound. If you are passionate about data and eager to make a significant impact in a dynamic environment, this opportunity is perfect for you.

Qualifications

  • Deep understanding of DTC eCommerce and customer behavior analysis.
  • Proficient in BI tools for data visualization and business insights.

Responsibilities

  • Analyze customer and order-level data to identify growth patterns.
  • Develop structured frameworks for diagnosing business performance.

Skills

DTC eCommerce Experience

Business Performance Data Analysis

Pattern Recognition

Root Cause Analysis

Fast Execution

Tools

SQL

Looker

Power BI

Job description

Lead Data Analyst - D2C eCom Consultancy

Location: UK - remote with monthly travel to London

Type: Permanent

We’re looking for a Lead BI Analyst with strong DTC eCommerce experience to work for an eCommerce consultancy who are building a proprietary business growth platform.

Scope of Work:

  • Customer & Order-Level Data Analysis – Identify patterns in customer behavior, order frequency, retention, and product mix to diagnose key growth levers.
  • Business Metrics Diagnosis – Build a structured root cause analysis framework that helps brands understand what’s driving or blocking scale (e.g., product mix efficiency, retention trends, discount impact).
  • Light Financial Analysis – Incorporate key profitability signals (COGS, contribution margin, discounts) to ensure recommendations are commercially sound.
  • Blended Marketing Insights – Surface insights at the business level with a light marketing lens (e.g., CAC, efficiency trends across channels).
  • Actionable Workflow Development – The output must be a structured and repeatable process for diagnosing DTC brand performance, not just ad hoc insights.

Ideal Candidate:

  • Deep DTC eCommerce Experience – Understands how order-level, customer cohort, and retention trends impact scale.
  • BI & Data Fluency – Comfortable structuring and analyzing business performance data rather than purely marketing or financial data.
  • Pattern Recognition & Root Cause Thinking – Can spot trends quickly and design a framework that helps businesses consistently diagnose their growth blockers.
  • Tool Proficiency – SQL, Looker, Power BI, or similar tools to rapidly extract and visualize insights.
  • Fast Execution & Clear Thinking – Can move quickly to develop a structured approach for ongoing analysis.
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