Lead Insights Analyst

Lead Insights Analyst

London Full-Time 60000 - 84000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Analyse customer data to identify growth opportunities and develop actionable insights.
  • Company: Join a dynamic eCommerce consultancy focused on innovative business growth solutions.
  • Benefits: Enjoy remote work flexibility with occasional travel to London and competitive salary.
  • Why this job: Be part of a forward-thinking team that drives impactful change in the eCommerce landscape.
  • Qualifications: Strong DTC eCommerce experience and proficiency in data analysis tools like SQL and Power BI.
  • Other info: Ideal for those who thrive in fast-paced environments and love solving complex business challenges.

The predicted salary is between 60000 - 84000 Β£ per year.

We’re looking for a Lead Insights 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 behaviour, 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.

Lead Insights Analyst employer: Cranberry Panda

As a Lead Insights Analyst at our innovative eCommerce consultancy, you'll join a dynamic team dedicated to driving business growth through data-driven insights. We offer a flexible remote working environment with opportunities for travel to London, fostering a collaborative culture that values employee development and creativity. With competitive salaries and a focus on professional growth, we empower our employees to make meaningful contributions while enjoying a supportive work-life balance.
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Contact Detail:

Cranberry Panda Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Lead Insights Analyst

✨Tip Number 1

Familiarise yourself with the latest trends in DTC eCommerce. Understanding current market dynamics and consumer behaviour will help you demonstrate your expertise during discussions.

✨Tip Number 2

Brush up on your skills with SQL, Looker, and Power BI. Being able to showcase your proficiency with these tools can set you apart from other candidates.

✨Tip Number 3

Prepare to discuss specific examples of how you've identified growth levers in previous roles. Having concrete cases ready will illustrate your ability to apply insights effectively.

✨Tip Number 4

Network with professionals in the eCommerce space. Engaging with others in the industry can provide valuable insights and potentially lead to referrals for the position.

We think you need these skills to ace Lead Insights Analyst

DTC eCommerce Expertise
Customer Behaviour Analysis
Order-Level Data Analysis
Root Cause Analysis Framework Development
Financial Analysis Skills
Profitability Signal Interpretation
Blended Marketing Insights Generation
Actionable Workflow Development
Business Intelligence (BI) Proficiency
Data Structuring and Analysis
Pattern Recognition
SQL Proficiency
Looker or Power BI Experience
Fast Execution
Clear Thinking

Some tips for your application 🫑

Tailor Your CV: Make sure your CV highlights your DTC eCommerce experience and any relevant skills in data analysis, BI tools, and pattern recognition. Use specific examples that demonstrate your ability to diagnose growth levers and develop actionable insights.

Craft a Compelling Cover Letter: In your cover letter, explain why you are the ideal candidate for the Lead Insights Analyst position. Discuss your experience with customer and order-level data analysis, and how you've successfully identified trends and developed frameworks in previous roles.

Showcase Tool Proficiency: Mention your proficiency in SQL, Looker, Power BI, or similar tools in both your CV and cover letter. Provide examples of how you've used these tools to extract and visualise insights effectively.

Highlight Fast Execution and Clear Thinking: Demonstrate your ability to move quickly and think clearly by providing examples of past projects where you developed structured approaches for ongoing analysis. This will show the company that you can deliver results efficiently.

How to prepare for a job interview at Cranberry Panda

✨Showcase Your DTC eCommerce Knowledge

Make sure to highlight your experience in direct-to-consumer eCommerce during the interview. Be prepared to discuss specific examples of how you've identified customer behaviour patterns and how these insights have driven business growth.

✨Demonstrate Your Analytical Skills

Prepare to explain your approach to data analysis, particularly in relation to customer and order-level data. Discuss any frameworks you've developed for root cause analysis and how they have helped diagnose growth blockers.

✨Familiarise Yourself with Relevant Tools

Brush up on your proficiency with tools like SQL, Looker, and Power BI. Be ready to discuss how you've used these tools to extract and visualise insights, as this will be crucial for the role.

✨Prepare for Scenario-Based Questions

Expect scenario-based questions that assess your problem-solving skills. Think about past experiences where you had to quickly develop structured approaches to analysis and be ready to share those stories.

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