Lead Data Analyst - D2C eCom Consultancy

Lead Data Analyst - D2C eCom Consultancy

City of London Full-Time 36000 - 60000 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 leading eCommerce consultancy focused on innovative business growth.
  • Benefits: Remote work, competitive salary, and opportunities for professional development.
  • Why this job: Make a real impact in the eCommerce space with your analytical skills.
  • Qualifications: Experience in DTC eCommerce and proficiency in data analysis tools like SQL.
  • Other info: Dynamic role with potential for career advancement and monthly travel to London.

The predicted salary is between 36000 - 60000 Β£ per year.

Overview

LeadDataAnalyst UK – remote with monthly travel to London β€’ Permanent

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

Scope of Work

  • Customer&Order-Level Data Analysis – Identifies patterns in customer behavior, order frequency, retention, and product mix to diagnose key growth levers.
  • Business Metrics Diagnosis – Builds 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 – Incorporates key profitability signals (COGS, contribution margin, discounts) to ensure recommendations are commercially sound.
  • Blended Marketing Insights – Surfaces 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 – Understand 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, PowerBI, or similar tools to rapidly extract and visualize insights.
  • Fast Execution & Clear Thinking – Can move quickly to develop a structured approach for ongoing analysis.

Contact

Get in touch with Yasha Mirsamadi, Associate Director at cranberry panda, for all of your ecommerce jobs and digital recruitment needs.

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Lead Data Analyst - D2C eCom Consultancy employer: www.cranberrypanda.co.uk - JobBoard

Join a forward-thinking eCommerce consultancy that values innovation and employee development, offering a remote working environment with monthly travel to London. Our collaborative culture fosters growth through continuous learning opportunities and a focus on impactful data analysis, making it an ideal place for professionals eager to drive business success in the DTC space.
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Contact Detail:

www.cranberrypanda.co.uk - JobBoard Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Lead Data Analyst - D2C eCom Consultancy

✨Tip Number 1

Network like a pro! Reach out to people in the eCommerce space, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info on job openings.

✨Tip Number 2

Show off your skills! Create a portfolio or a personal project that highlights your data analysis prowess. Use tools like SQL or PowerBI to showcase your ability to turn data into actionable insights.

✨Tip Number 3

Prepare for interviews by practising common questions related to DTC eCommerce and data analysis. Think about how you can demonstrate your pattern recognition and root cause thinking skills with real-world examples.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged in their job search.

We think you need these skills to ace Lead Data Analyst - D2C eCom Consultancy

DTC eCommerce Experience
Customer & Order-Level Data Analysis
Business Metrics Diagnosis
Root Cause Analysis Framework
Light Financial Analysis
Blended Marketing Insights
Actionable Workflow Development
BI & Data Fluency
Pattern Recognition
SQL
Looker
PowerBI
Fast Execution
Clear Thinking

Some tips for your application 🫑

Tailor Your CV: Make sure your CV highlights your DTC eCommerce experience and data analysis skills. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how your skills can help us build our business growth platform. Keep it engaging and personal!

Showcase Your Tool Proficiency: Mention your experience with SQL, Looker, PowerBI, or any other relevant tools. We love seeing candidates who can quickly extract and visualise insights, so make sure to highlight your technical skills!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!

How to prepare for a job interview at www.cranberrypanda.co.uk - JobBoard

✨Know Your Data Inside Out

Make sure you’re well-versed in customer and order-level data analysis. Brush up on how to identify patterns in customer behaviour and retention trends, as this will be crucial for the role. Be ready to discuss specific examples from your past experience where you've successfully diagnosed growth levers.

✨Master the Tools

Familiarise yourself with SQL, Looker, PowerBI, or any similar tools mentioned in the job description. Prepare to demonstrate your proficiency during the interview by discussing how you've used these tools to extract and visualise insights in previous roles.

✨Showcase Your Analytical Framework

Be prepared to explain your approach to building a structured root-cause analysis framework. Think of a time when you identified a growth blocker and how you developed a repeatable process to diagnose performance issues. This will show your ability to think critically and strategically.

✨Communicate Clearly and Confidently

During the interview, focus on articulating your thoughts clearly. Practice explaining complex data insights in a straightforward manner, as you'll need to surface actionable insights that resonate with both technical and non-technical stakeholders.

Lead Data Analyst - D2C eCom Consultancy
www.cranberrypanda.co.uk - JobBoard
Location: City of London

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