At a Glance
- Tasks: Transform data using SQL, build reports, and communicate insights to stakeholders.
- Company: Join Nando’s Data and Analysis Team, known for its inclusive culture.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative team atmosphere with a focus on continuous improvement and innovation.
- Why this job: Make a real impact by turning data into actionable insights in a dynamic environment.
- Qualifications: Experience with SQL, data modelling, and BI tools like Looker is essential.
The predicted salary is between 30000 - 40000 £ per year.
Salary up to: Competitive.
Data Analyst role in Nando’s Data and Analysis Team.
Responsibilities
- Write and maintain SQL models (in Dataform) to transform and serve reliable data across pipelines.
- Support data engineers in designing, building, and testing data pipelines.
- Build and iterate cloud-based reports and dashboards in Looker (or similar BI tool), providing clear actionable insight.
- Translate business questions into well‑scoped analysis, understanding domain before answering.
- Communicate findings clearly to both technical and non‑technical stakeholders.
- Peer review colleagues’ work and contribute to data quality standards and documentation.
- Identify opportunities to automate manual processes and data tasks, and implement them.
Qualifications
- Proven experience writing complex SQL (window functions, CTEs, complex datatypes) on a cloud data platform.
- Experience building and maintaining data models in Dataform, Snowflake, or DBT, and understanding how they fit into broader pipelines.
- Experience building reports and dashboards in Looker or a similar BI tool, delivering self‑serve data.
- Proficient with Git (branching, pull requests, code review).
- Ability to translate business requests into clearly scoped, actionable work items.
- Knowledge of data quality techniques, tests, and documentation to enforce data governance.
- Understanding of data governance principles and championing good data management practices.
- Experience applying relevant statistical methods to support analysis.
- Experience supporting data engineers in designing, coding, and testing pipelines.
- Familiarity with AI‑assisted coding tools (e.g., Claude) and responsible AI use.
- Strong communication skills, able to explain complex findings in plain language.
- Intellectual curiosity and willingness to explore new tools and methods, including AI.
- Comfort with ambiguity, defining right questions before answering.
- Product mindset, understanding business objectives behind analyses.
- Proactive approach to improving processes, data quality, and ways of working.
- Collaborative team attitude, peer reviewing and knowledge sharing.
Inclusion
At Nando’s, everyone is welcome. We’re committed to creating an inclusive and respectful culture for all, including our existing and future employees, partners, suppliers, customers, and the communities we serve. We consider reasonable adjustments to enable candidates to perform optimally during the recruitment process.
Data Analyst in London employer: Nando’s Group
Nando’s is an exceptional employer that fosters a collaborative and inclusive work culture, making it an ideal place for Data Analysts to thrive. With a commitment to employee growth, Nando’s offers opportunities for professional development through hands-on experience with cutting-edge tools and technologies, while also encouraging innovation and proactive problem-solving. Located in a vibrant environment, employees benefit from a supportive team atmosphere and the chance to contribute to meaningful projects that drive the company forward.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in London
✨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 Nando’s Group!
✨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 Nando’s Group.
✨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 Nando’s Group.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at Nando’s Group, 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 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!
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 Nando’s Group, 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 Nando’s Group. 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 Nando’s Group
✨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 Nando’s Group!
✨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.
