Data Analyst

Data Analyst

Full-Time 36900 - 45100 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Analyse unique behavioural datasets and uncover insights for leading brands.
  • Company: Specialist data and analytics business focused on consumer behaviour.
  • Benefits: Salary up to £45,000, hybrid working, and strong career development.
  • Other info: Fast-paced environment with exposure to innovative datasets and senior leadership.
  • Why this job: Make a real impact by shaping how data influences consumer behaviour.
  • Qualifications: Strong SQL skills, experience with large datasets, and analytical problem-solving.

The predicted salary is between 36900 - 45100 £ per year.

This is an opportunity to work with a genuinely unique behavioural dataset, combining digital activity, consumer journeys and emerging AI interactions. You will help answer complex commercial questions for leading brands while shaping how data is used to understand real-world behaviour.

The Company

They are a specialist data and analytics business focused on understanding how advertising and digital experiences influence consumer behaviour. Their work blends advanced analytical techniques with rich, multi-source datasets to uncover insights that traditional approaches cannot provide. Operating as a close-knit team, they encourage new ideas and give individuals the autonomy to make a real impact. Their client base includes well-known organisations across media and consumer sectors.

The Role

You will work hands-on with large behavioural datasets, analysing how consumers interact across digital platforms, media channels and AI tools. Responsibilities include:

  • Extracting, querying and analysing data using SQL
  • Cleaning and structuring complex datasets for analysis
  • Identifying patterns, trends and commercially relevant insights
  • Delivering post-campaign analysis to evaluate performance
  • Supporting bespoke analytical projects addressing business challenges
  • Translating data into clear, client-ready insights and presentations
  • Working across both quantitative and qualitative data sources
  • Developing scalable analytical processes and methodologies
  • Collaborating closely with senior stakeholders to evolve analytical outputs

Your Skills & Experience

  • Strong commercial experience working in a hands-on data analysis role
  • Advanced SQL skills for data extraction and manipulation
  • Confidence working with large, complex datasets
  • Strong Excel capability for analysis and data handling
  • Ability to interpret data and communicate insights effectively
  • Experience with quantitative analysis and problem-solving
  • Curiosity and attention to detail when exploring new datasets
  • Familiarity with modern AI or LLM tools and an interest in their application within analytics

What They Offer

  • Salary up to £45,000
  • Hybrid working model with regular collaboration in a London office
  • Exposure to highly unique and innovative datasets
  • Opportunity to work closely with senior leadership
  • A fast-paced environment with strong ownership and career development potential

Data Analyst 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.

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Contact Details:

Harnham - Data and Analytics Recruitment Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Analyst

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Harnham - Data and Analytics Recruitment!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analyst at Harnham - Data and Analytics Recruitment.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Harnham - Data and Analytics Recruitment.

Apply Directly through Our Website

When you find a suitable opening like Data Analyst at Harnham - Data and Analytics Recruitment, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Analyst

SQL
Data Extraction
Data Manipulation
Data Analysis
Excel
Quantitative Analysis
Problem-Solving Skills

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!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

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.