At a Glance
- Tasks: Analyse data, build dashboards, and generate insights to drive smarter business decisions.
- Company: Fast-growing scale-up focused on using data for growth and smarter decision-making.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional development.
- Other info: Dynamic work environment with opportunities to collaborate across various teams.
- Why this job: Make a real impact by translating data into actionable insights across teams.
- Qualifications: 2-4 years in data analysis, strong analytical skills, and proficiency in SQL and Excel.
The predicted salary is between 35000 - 42000 £ per year.
A fast-growing scale-up using data to drive smarter decisions and unlock growth.
The Data Analyst will play a key role in helping the business make better decisions through data. You’ll analyse datasets, build dashboards, and generate insights that support teams across the organisation. This role involves working closely with product, marketing, and commercial teams to understand performance, identify opportunities, and translate data into actionable recommendations. You’ll also help improve how the business collects, manages, and uses data, ensuring teams have reliable insights to guide their strategy.
Key responsibilities:
- Analyse datasets to identify trends, patterns, and growth opportunities
- Build dashboards and reports that track key business metrics
- Work with stakeholders across teams to answer data-driven questions
- Translate complex data into clear insights and recommendations
- Write queries and extract data from databases using SQL
- Support experimentation and performance analysis for marketing and product initiatives
- Ensure data quality and help improve internal data processes
- Present findings and insights to internal stakeholders
What we’re looking for:
- 2–4 years of experience in data analysis or analytics roles
- Strong analytical and problem-solving skills
- Proficiency with Excel, SQL, and data analysis tools
- Experience with data visualisation tools such as Tableau, Power BI, or Looker
- Ability to communicate complex insights clearly to non-technical teams
- Strong attention to detail and curiosity about business performance
- Experience working with large datasets or multiple data sources
- Bachelor’s degree in data, statistics, economics, maths, computer science, or a related field (or equivalent experience)
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 Storyboard!
✨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 Storyboard.
✨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 Storyboard.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at Storyboard, 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 Storyboard, 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 Storyboard. 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 Storyboard
✨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 Storyboard!
✨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.
