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- Tasks: Transform raw data into actionable insights and create impactful reports.
- Company: Join an innovative Data Start-up delivering cutting-edge SAAS and AI solutions.
- Benefits: Enjoy a hybrid work model with three days in the office and competitive salary.
- Why this job: Perfect for early career professionals seeking rapid growth in a dynamic team environment.
- Qualifications: Must have a 2:1 or above in a STEM degree and skills in SQL, Excel, and Tableau.
- Other info: Work closely with stakeholders to shape strategic business decisions.
The predicted salary is between 43200 - 72000 £ per year.
We’ve partnered with an innovative Data Start-up who are looking to hire a passionate and detail-oriented Data Analyst. This consultancy provides innovative SAAS and AI solutions to their household name clients and is an excellent opportunity to work with a small, but high-performing team. This role encompasses turning raw data into insights that drive critical and strategic decisions across this company. You will have the opportunity to work closely with stakeholders to understand business needs, develop data models, and create reports that give necessary insights to the business. This is an ideal role for someone looking to hit the ground running in the early to mid stages of their career, with this company offering huge opportunity for quick progression.
Role Requirements:
- 2:1 or above from a top UK university in a STEM degree
- Proficiency in SQL, Excel, Tableau and other data visualization tools.
- Strong analytical mindset and attention to detail.
- Excellent communication skills with the ability to explain complex data concepts to non-technical audiences.
Data Analyst (London Area) employer: Placed
Contact Detail:
Placed Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (London Area)
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, like SQL, Excel, and Tableau. Consider taking online courses or tutorials to sharpen your skills, as demonstrating proficiency in these tools can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the data analytics field, especially those who work in similar roles or companies. Attend industry meetups or webinars to connect with potential colleagues and learn more about the company culture, which can help you tailor your approach during interviews.
✨Tip Number 3
Prepare to discuss real-world examples of how you've used data to drive decisions in previous roles or projects. Being able to articulate your thought process and the impact of your analyses will demonstrate your analytical mindset and communication skills effectively.
✨Tip Number 4
Research the company’s clients and the types of projects they undertake. Understanding their business needs and challenges will allow you to speak knowledgeably about how you can contribute to their success, making you a more attractive candidate.
We think you need these skills to ace Data Analyst (London Area)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Data Analyst role. Emphasise your proficiency in SQL, Excel, Tableau, and any other data visualisation tools you are familiar with.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analysis and your understanding of the company's innovative approach. Mention specific projects or experiences that demonstrate your analytical mindset and attention to detail.
Highlight Your Educational Background: Since the role requires a 2:1 or above from a top UK university in a STEM degree, ensure this information is prominently displayed in your application. Include relevant coursework or projects that relate to data analysis.
Prepare for Potential Questions: Think about how you would explain complex data concepts to non-technical audiences, as this is a key requirement for the role. Prepare examples from your past experiences where you've successfully communicated data insights.
How to prepare for a job interview at Placed
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in SQL, Excel, and Tableau during the interview. Be prepared to discuss specific projects where you've used these tools to analyse data and generate insights.
✨Prepare for Scenario-Based Questions
Expect questions that assess your analytical mindset. Prepare examples of how you've turned raw data into actionable insights in previous roles or projects, especially those that required collaboration with stakeholders.
✨Communicate Clearly
Since you'll need to explain complex data concepts to non-technical audiences, practice simplifying your explanations. Use analogies or straightforward language to demonstrate your ability to communicate effectively.
✨Research the Company and Its Clients
Familiarise yourself with the innovative SAAS and AI solutions the company provides. Understanding their household name clients and the industry they operate in will help you tailor your responses and show genuine interest.
