At a Glance
- Tasks: Analyse complex datasets and deliver insights that shape marketing strategies.
- Company: Innovative analytics business at the forefront of consumer behaviour and AI.
- Benefits: Competitive salary, hybrid working, direct access to leadership, and ownership from day one.
- Other info: Dynamic environment with opportunities for innovation and career growth.
- Why this job: Work with unique datasets and influence real-world consumer decisions.
- Qualifications: Strong SQL skills, analytical mindset, and ability to communicate insights effectively.
The predicted salary is between 47250 - 57750 £ per year.
- Data & Insights Analyst
- London (Hybrid, 3 days per week) | £45,000 - £50,000 + Benefits
Looking to work with one of the most interesting consumer datasets in the market?
This is an opportunity to join an innovative analytics business that sits at the intersection of consumer behaviour, marketing effectiveness, data science and AI.
You'll have the chance to work with complex, multi-channel behavioural data and help global brands understand what truly influences customer decisions.
The Company
This specialist data and insights business helps brands measure how advertising and digital experiences impact real-world consumer behaviour.
They have built a unique consented consumer dataset that combines media exposure, digital activity, search behaviour, shopping journeys and emerging AI interactions to create a comprehensive view of the customer journey.
Operating as a highly collaborative and entrepreneurial team, they offer significant ownership, direct exposure to senior leadership and the opportunity to influence new products and analytical methodologies.
The Role
As a Data & Insights Analyst, you will work across campaign effectiveness, customer behaviour analysis and emerging AI-focused products.
Key responsibilities include
- Querying and extracting data using SQL
- Analysing large-scale behavioural datasets to identify trends and commercial insights
- Measuring advertising effectiveness and campaign uplift
- Delivering post-campaign analysis and client-ready insights
- Creating clear, compelling presentations and reports for stakeholders
- Developing and testing new analytical methodologies
- Exploring consumer behaviour across digital, retail and AI touchpoints
- Working with qualitative and quantitative datasets, including LLM-generated data
- Supporting the development of innovative products focused on consumer interactions with AI platforms
- Collaborating closely with data, research and commercial stakeholders across the business
- Your Skills & Experience
- Strong SQL skills
- Advanced Excel capabilities
- Experience analysing complex datasets and translating findings into actionable insights
- Ability to communicate analytical outputs to non-technical stakeholders
- Commercially minded with strong problem-solving skills
- Comfortable working independently and taking ownership of projects
- Strong academic background
- Experience with data visualisation tools is beneficial
- Exposure to marketing analytics, customer insights, media analytics or consumer behaviour data is advantageous
- Familiarity with LLM tools such as Chat GPT and prompt-based analysis is desirable
- What They Offer
- Salary of £45,000 - £50,000 depending on experience
- Hybrid working model with 3 days per week in the London office
- Direct access to senior leadership and decision makers
- Opportunity to work with highly unique behavioural and AI datasets
- Significant ownership and autonomy from day one
- Exposure to innovative analytics and AI-focused product development
- Clear opportunity to influence methodologies, products and business growth within a fast-moving environment
- #J-18808-Ljbffr
Data and Insight Analyst 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 and Insight Analyst in London
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We think you need these skills to ace Data and Insight 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 - Data and Analytics Recruitment, 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 - Data and Analytics Recruitment. 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 - Data and Analytics Recruitment
✨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!
✨Showcase Your Projects
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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Harnham - Data and Analytics Recruitment!
✨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.
