At a Glance
- Tasks: Transform complex data into actionable insights for global brands and analyse advertising effectiveness.
- Company: Fast-growing consumer data and analytics company with a focus on innovative insights.
- Benefits: Competitive salary, collaborative team environment, and exposure to senior stakeholders.
- Other info: Opportunity for high ownership and influence in analytical approaches and product development.
- Why this job: Join a dynamic team at the forefront of consumer behaviour and AI interaction.
- Qualifications: Strong SQL and Excel skills, analytical mindset, and ability to work independently.
The predicted salary is between 50000 - 50000 £ per year.
A fast-growing consumer data and analytics company is looking for a Data & Insights Analyst to join its London team and help transform complex behavioural data into meaningful commercial insights for global brands. The business specialises in understanding how advertising influences real-world consumer behaviour, using a unique single-source dataset combining media exposure, digital behaviour, shopping activity and consumer journeys. More recently, they have expanded into LLM data, helping brands understand how consumers interact with AI platforms.
This is an exciting opportunity for an analyst who enjoys variety, autonomy and working at the intersection of data, research, marketing analytics and emerging technology.
The role
- Analyse consumer behavioural data to measure advertising effectiveness and campaign impact
- Produce post-campaign analysis and client insight reports
- Translate analytical findings into clear, commercially focused PowerPoint presentations
- Develop new analytical approaches and methodologies for emerging datasets
- Work with LLM data to uncover insights into how consumers discuss brands within AI platforms
- Use LLM workflows and analytical techniques to explore new data opportunities
What we're looking for
- Strong SQL skills
- Excellent Excel capability
- Strong analytical thinking and ability to interpret data
- Commercial curiosity and a problem-solving mindset
- Ability to work independently in a fast-paced environment
Nice to have
- Data visualisation experience
- Experience creating client-facing reports or presentations
- Familiarity with LLMs and prompt engineering
- Experience in marketing analytics, customer insights or research
About the company
A specialist consumer analytics business helping global brands understand the impact of advertising on real-world behaviour. With a proprietary panel of around 10,000 consented users and innovative LLM datasets, the company is building new ways for brands to understand consumers across traditional digital channels and emerging AI platforms.
The team
You’ll join a small, collaborative international team with exposure to senior stakeholders, including the CEO, Head of Data and R&D teams. This is a high-ownership role where you’ll have the opportunity to influence analytical approaches and new product development.
Ideal background
- Around 2+ years’ experience in analytics, insights, marketing data or customer research
- Experience within a media agency, tech business, start-up or consumer insights environment
Salary and location
Up to £50,000. Location: London.
Data and Insights Analyst in London employer: Harnham
Join a leading UK-based media organisation at the forefront of digital transformation, where your role as Director of Streaming Product and Growth will be pivotal in shaping the future of their subscription services. With a strong emphasis on innovation and a collaborative work culture, you'll have access to significant growth opportunities, competitive salary packages, and a performance-based bonus structure, all while working in a dynamic environment that values data-driven decision making and customer-centric strategies.
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We think this is how you could land Data and Insights Analyst in London
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We think you need these skills to ace Data and Insights Analyst 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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Craft a Tailored Cover Letter:For a full-time role at Harnham, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Harnham. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Harnham
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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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.
