Customer Insight Analyst
Customer Insight Analyst

Customer Insight Analyst

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Analyze customer data and trends to shape strategies for a leading retail brand.
  • Company: Join a dynamic retail brand in London focused on growth and innovation.
  • Benefits: Gain valuable experience in a contract role with potential for future opportunities.
  • Why this job: Make an impact by enhancing customer insights and collaborating with key stakeholders.
  • Qualifications: Strong SQL skills and experience with R and Python; retail background preferred.
  • Other info: Opportunity to work on a key churn model project this year.

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

Job Description

Contract Insight Analyst – £450/day | 7-Month Contract | ASAP Start
Location: Hybrid (1 day/week in London office)
Industry: Global Sportswear Brand

My client is hiring for a Contract Insight Analyst to support a global sportswear brand in delivering data-driven insights for brand and marketing campaigns. This is a key role within the customer and brand team, ideal for someone who can blend data expertise with commercial understanding and effective storytelling.

What You'll Do:

  • Build and manage Power BI dashboards to deliver clear, visual insights across teams.

  • Use SQL to manipulate, query, and structure complex marketing and customer datasets.

  • Conduct deep-dive analysis into brand campaigns and customer behaviour.

  • Present findings and insights in a way that drives decision-making at a senior level.

  • Develop repeatable and scalable logic to evaluate marketing campaign performance.

  • Work closely with cross-functional teams including marketing, brand, and analytics.

Key Skills & Experience:

  • Proven experience with SQL for data extraction and transformation.

  • Strong ability to design and deliver reports using Power BI.

  • Background in campaign analysis, customer segmentation, or retail insights.

  • Confident in presenting insights to non-technical stakeholders.

  • Excellent communication and storytelling skills.

  • Python experience is nice to have, not a requirement.

Contract Details:

  • Start date: ASAP

  • Length: 7 months

  • Day rate: £450/day (Outside IR35)

  • Working pattern: Hybrid – 1 day per week in the London office

If you're a data professional with a passion for understanding customers and driving commercial impact, I'd love to hear from you.

Apply now or get in touch for more details.

Customer Insight Analyst employer: Harnham

Join a leading retail brand in London that values innovation and collaboration, making it an excellent employer for a Customer Insight Analyst. With a vibrant work culture that encourages professional growth and development, you'll have the opportunity to shape customer strategies while working alongside a talented CRM team. Enjoy competitive benefits and the chance to make a meaningful impact in a dynamic business environment.
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Contact Detail:

Harnham Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Customer Insight Analyst

✨Tip Number 1

Familiarize yourself with the retail industry and current trends. Understanding the market dynamics will help you provide valuable insights that align with the company's goals.

✨Tip Number 2

Brush up on your SQL skills, especially focusing on data analysis and forecasting techniques. Being able to demonstrate your proficiency in SQL during discussions can set you apart from other candidates.

✨Tip Number 3

Practice your storytelling skills by preparing to present complex data insights in a simple and engaging way. Think about how you can make your findings relatable to non-technical stakeholders.

✨Tip Number 4

If you have experience with Power BI, be ready to showcase it. Even if it's not a requirement, demonstrating your ability to visualize data effectively can enhance your candidacy.

We think you need these skills to ace Customer Insight Analyst

SQL
Data Analysis
Forecasting
Customer Insights
Storytelling
Data Visualization
Power BI
Churn Model Development
Collaboration Skills
R
Python
Communication Skills
Retail Experience

Some tips for your application 🫡

Understand the Role: Take the time to thoroughly read the job description. Understand the key responsibilities, required skills, and how your experience aligns with the role of a Customer Insight Analyst.

Highlight Relevant Skills: Make sure to emphasize your SQL, forecasting, and data analysis skills in your CV and cover letter. If you have experience with Power BI, R, or Python, mention these as well, as they are valuable for this position.

Showcase Storytelling Ability: In your application, provide examples of how you've effectively communicated insights to non-technical stakeholders in the past. This will demonstrate your storytelling ability, which is crucial for this role.

Tailor Your Application: Customize your CV and cover letter to reflect the specific requirements of the job. Use keywords from the job description to ensure your application stands out to the hiring team.

How to prepare for a job interview at Harnham

✨Showcase Your SQL Skills

Be prepared to discuss your experience with SQL in detail. Highlight specific projects where you've used SQL to analyze customer data and trends, and be ready to explain how you approached forecasting.

✨Master the Art of Storytelling

Since you'll need to communicate insights to non-technical stakeholders, practice explaining complex data findings in simple terms. Use examples from your past experiences to demonstrate your storytelling ability.

✨Familiarize Yourself with Power BI

Even though it's a nice-to-have skill, showing familiarity with Power BI can set you apart. If you have any experience creating visualizations, be sure to mention it and discuss how it helped convey insights effectively.

✨Prepare for Churn Model Discussions

As developing and analyzing a churn model is a key project, think about your approach to similar projects. Be ready to discuss methodologies you've used and how you would tackle this specific challenge.

Customer Insight Analyst
Harnham
H
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