At a Glance
- Tasks: Analyse consumer trends using AI and deliver insights on campaign effectiveness.
- Company: Harnham, a leading data and analytics recruitment firm in London.
- Benefits: Hybrid working, direct exposure to leadership, and ownership from day one.
- Other info: Great opportunity for career growth and to work with emerging AI products.
- Why this job: Influence analytics methodologies and product development in a fast-paced environment.
- Qualifications: Experience in data analysis and a passion for consumer behaviour.
The predicted salary is between 29700 - 36300 £ per year.
Harnham - Data and Analytics Recruitment in London is seeking a Data & Insights Analyst to join on a hybrid basis.
You will work across campaign effectiveness, customer behaviour analysis and emerging AI-focused products, handling multi-channel datasets to deliver client-ready insights.
The role offers direct exposure to senior leadership, ownership from day one, and opportunities to influence analytics methodologies and product development within a fast-moving environment.
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Data & Insights Analyst - AI-Driven Consumer Trends in London employer: Harnham - Data and Analytics Recruitment
As an AI Automation Lead at this investment-focused organisation in London, you will thrive in a collaborative and innovative environment that prioritises technology and data. The company offers a competitive salary, comprehensive benefits, and the unique opportunity to build impactful AI solutions from the ground up, all while fostering professional growth and cross-functional teamwork.
Contact Details:
Harnham - Data and Analytics Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data & Insights Analyst - AI-Driven Consumer Trends in London
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We think you need these skills to ace Data & Insights Analyst - AI-Driven Consumer Trends 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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