At a Glance
- Tasks: Analyse data, build dashboards, and provide actionable insights for clients.
- Company: Dynamic analytics consultancy focused on improving business performance through data.
- Benefits: Up to £50,000 salary, flexible remote work, and clear career progression.
- Other info: Supportive environment with opportunities for learning and development.
- Why this job: Join a growing team and work with top brands on exciting analytics projects.
- Qualifications: Experience in marketing analytics, strong SQL/Python skills, and client-facing experience.
The predicted salary is between 47250 - 57750 £ per year.
This is an excellent opportunity for a Data Consultant to join a growing analytics consultancy where you'll work across a wide variety of data and marketing analytics challenges. Starting with a key client account focused on paid media analytics, you'll quickly gain exposure to broader consulting projects spanning customer, product, and commercial analytics, offering a strong platform for long-term career development.
The Company
They are a specialist data and analytics consultancy that helps businesses use data to improve commercial performance and make better decisions. Working across a diverse client portfolio, they deliver projects covering marketing effectiveness, customer behaviour, digital analytics, reporting, measurement, and data strategy. Their team combines technical expertise with commercial insight, helping clients turn complex data into actionable recommendations. With a collaborative and flexible culture, they offer plenty of autonomy, responsibility, and exposure to high-profile projects.
The Role
As a Data Consultant, you will work closely with clients to understand business challenges, deliver meaningful analysis, and communicate actionable recommendations. While the initial focus will be on paid media analytics and reporting, the role offers broad exposure across multiple analytics disciplines.
- Building and maintaining dashboards in Looker Studio and other reporting platforms
- Analysing paid media and campaign performance data to identify trends and opportunities
- Using SQL and Python to perform deeper analysis and generate business insights
- Cleaning, validating, and matching data to improve reporting accuracy and analytical outputs
- Presenting findings and recommendations to client stakeholders
- Supporting projects across customer analytics, promotions, experimentation, product performance, and commercial reporting
- Working with AI and automation tools to improve reporting and analytical processes
- Contributing to wider consulting engagements and helping clients make data-driven decisions
Your Skills & Experience
- Strong commercial experience within marketing analytics, digital analytics, or consulting
- Experience working with paid media reporting and campaign performance data
- Strong SQL and/or Python skills
- Hands-on experience with Looker Studio or comparable dashboarding tools
- Ability to translate data into clear business recommendations
- Experience working in a client-facing consultancy or agency environment
- Strong communication and stakeholder management skills
- Comfortable managing work independently and prioritising multiple projects
- Exposure to broader analytics disciplines such as customer, product, or commercial analytics is beneficial
- STEM education background is advantageous but not essential
What They Offer
- Salary up to £50,000
- Highly flexible working environment with a predominantly remote culture
- Exposure to a diverse range of analytics and consulting projects
- Opportunity to work with recognised brands across multiple industries
- Clear pathway to develop from analyst into a broader consulting role
- A growing team where you can quickly gain visibility and responsibility
- Supportive and autonomous working environment focused on development and learning
Data Consultant employer: Harnham - Data & Analytics Recruitment
Join a forward-thinking SaaS organisation in London, where you'll not only lead the Data Engineering function but also play a pivotal role in shaping the future of AI and data solutions. With a strong emphasis on innovation, employee development, and a collaborative work culture, this company offers clear progression opportunities and the chance to work on impactful projects that drive commercial success. Enjoy a supportive environment that values your expertise while you tackle exciting technical challenges and contribute to the growth of a rapidly expanding business.
Contact Details:
Harnham - Data & Analytics Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Consultant
✨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 & 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 Consultant at Harnham - Data & 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 & Analytics Recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like Data Consultant at Harnham - Data & 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 Consultant
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 & 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 & 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 & 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 & 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.
