At a Glance
- Tasks: Analyse data to drive insights and optimise costs for a global FMCG client.
- Company: Join a dynamic team in a leading data-driven organisation.
- Benefits: Permanent role with competitive salary and opportunities for growth.
- Other info: Hybrid working model with occasional meetings at our Bishopsgate HQ.
- Why this job: Make an impact by transforming data into actionable insights for real-world applications.
- Qualifications: Advanced Excel skills and experience with data analysis tools required.
The predicted salary is between 40000 - 50000 £ per year.
This role sits alongside our Client Engagement and Commercial teams analyzing the data generated through our service delivery to a global FMCG / beverage client. You will receive, interrogate, qualify and validate the transactional data available and through a learned understanding of our service commitments, build reporting and story-telling around savings, commercial outcomes and contract compliance.
Key responsibilities:
- Commercial Data Analysis
- Analyze large datasets relating to marketing campaigns, supplier costs, and operational performance
- Review spend across channels (print, digital, POS, logistics, media production, etc)
- Identify trends, anomalies, and cost drivers within campaign execution
- Produce regular commercial performance reports and dashboards
- Savings + Optimization
- Identify and quantify cost-saving opportunities across marketing execution activities
- Support savings initiatives including supplier renegotiations, process improvements, and specification optimization
- Analyze pricing structures and benchmark costs against historical and industry standards
- Track and report realized vs. forecast savings
- Stakeholder Collaboration
- Work closely with client engagement, procurement, finance, and operations teams
- Present insights clearly to both technical and non-technical stakeholders
- Support client discussions with data-driven insights and recommendations
- Data Management + Reporting
- Build and maintain dashboards and reports (eg Power BI, Tableau, Excel)
- Ensure data accuracy, consistency, and governance across systems
- Automate reporting processes where possible
Knowledge, skills + experience:
- High capability in data analysis and visualization tools (advanced Excel, SQL | Power BI, Tableau or similar)
- Ability to manipulate and analyze large datasets with accuracy and translate that data into actionable commercial insights
- Understanding of financial metrics, cost analysis, and ROI modelling - experience analyzing budgets, costs and supplier pricing
- Strong understanding of cost drivers and margin optimization
- Ability to identify trends, patterns, and inefficiencies
- Detail-oriented with a focus on accuracy and quality
- Strong communication skills with the ability to explain complex data clearly - experience working with cross-functional teams
- Confident presenting insights and recommendations
Data Analyst, London employer: HH Global
At HH Global, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters collaboration and innovation. Our commitment to employee growth is evident through continuous training opportunities and a supportive environment that values diversity. Located in the heart of Europe, our team enjoys the unique advantage of working on impactful retail projects while being part of a global network that champions creativity and excellence.
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We think this is how you could land Data Analyst, London
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We think you need these skills to ace Data Analyst, 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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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at HH Global. 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 HH Global
✨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
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 HH Global!
✨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.
