At a Glance
- Tasks: Lead customer and brand insights to drive data-led decisions in retail.
- Company: Leading retail client with a collaborative, data-driven culture.
- Benefits: Competitive salary, benefits package, and opportunities for professional growth.
- Other info: Exciting role with genuine progression opportunities.
- Why this job: Shape strategy through impactful insights and make a real difference.
- Qualifications: Experience in retail insights, strong analytical skills, and proficiency in BI tools.
The predicted salary is between 47250 - 57750 £ per year.
Insight Manager - Retail
Location: London | Hybrid | Competitive Salary We are currently supporting a leading retail client in their search for an Insight Manager to drive data-led decision-making across their business.
This role will be instrumental in shaping strategy through customer, digital, and brand insights, ensuring that data is at the heart of commercial and operational decisions.
This is an exciting opportunity for an experienced insight and analytics professional with a strong background in retail insights, looking to take ownership of insight functions and make a tangible impact.
Key
Responsibilities: Lead on all customer, digital, and brand insights, ensuring key business functions are equipped with actionable data.
Drive a customer-led approach, influencing strategy through robust analytics and reporting.
Implement and optimise measurement frameworks for new digital initiatives and site functionality.
Develop and manage relationships with senior stakeholders, directors, and third-party partners.
Support site optimisation strategies and customer research initiatives.
Contribute to the development of the product roadmap, ensuring alignment with consumer needs and business goals.
Skills & Experience: Proven experience in insight and analytics roles within retail - this is essential.
Expertise in Google Analytics, SQL, Tableau, or similar BI tools.
Strong understanding of digital analytics, customer data, and business intelligence.
Exceptional data storytelling and presentation skills, with the ability to translate complex insights into actionable recommendations.
Experience managing external agencies, third-party suppliers, and internal stakeholders.
Advanced Excel skills and experience with data visualisation tools.
Knowledge of statistics or data science, with experience in Python or R being advantageous.
Previous line management experience is desirable.
What’s on
Offer: A highly collaborative, data-driven culture with opportunities to influence business-wide decisions.
Competitive salary and benefits package.
A role that offers genuine progression and professional development.
If you have strong retail insights experience and are looking for a role where you can shape strategy through data, we’d love to hear from you.
Analysis and Insights Manager in London employer: Consortia
As a Senior Software Engineer at our company, you'll be part of a dynamic and collaborative engineering culture that values quality and innovation. We offer a stimulating work environment where you can tackle complex technical challenges while contributing to systems that have a real-world impact, all within a supportive team that encourages professional growth and development. Located in a vibrant area, we provide the unique advantage of working on enterprise-scale projects with the agility of a smaller team, ensuring your contributions are both meaningful and rewarding.
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We think this is how you could land Analysis and Insights Manager in London
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We think you need these skills to ace Analysis and Insights Manager in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
