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For Companies At a Glance
- Tasks: Join a dynamic team to analyse data and provide insights that shape customer experiences.
- Company: Be part of a fast-growing tech company that values data-driven decisions.
- Benefits: Enjoy flexible working options and a competitive salary between £70K - £80K.
- Why this job: Make a real impact on product quality and customer outcomes in a supportive environment.
- Qualifications: Strong experience with Looker, SQL, Python, and dbt is essential.
- Other info: This role is perfect for those seeking a new challenge in a vibrant tech setting.
The predicted salary is between 58800 - 67200 £ per year.
Data Analyst
Salary: Up to £60k
Location: Remote/Hybrid
Data Idols is working with an exciting and fast-growing organisation that is transforming the delivery and logistics space. This is a great opportunity to join a company on an ambitious growth journey, with plans to expand both in the UK and internationally.
We’re looking for a Data Analyst with strong communication skills and a proactive mindset. In this role, you’ll work closely with operational teams to provide insights, support decision-making, and ensure key stakeholders have a clear understanding of business performance.
The Opportunity
Working with the operational teams this is an opportunity to grow your career working with talented people.
You will work to inform, automate and optimise the decision-making using data and advanced analytics.
This position will help the operational teams dig into the data to optimise and improve a number of interesting data challenges.
What’s in it for you?
Up to £65,000
Skills and Experience
- Strong SQL
- Python
- Excellent communication skills
- Creating dashboards to share and present to stakeholders
If you would like to be considered for the role and feel you would be an ideal fit with our team then please send your CV to us by clicking on the Apply button below.
Data Analyst
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Data Analyst employer: Data Science Festival
Contact Detail:
Data Science Festival Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarise yourself with Looker, SQL, and dbt by working on personal projects or contributing to open-source initiatives. This hands-on experience will not only enhance your skills but also give you concrete examples to discuss during interviews.
✨Tip Number 2
Network with current Data Analysts or professionals in the tech industry through platforms like LinkedIn. Engaging in conversations can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Prepare for potential technical assessments by practising common data analysis problems and scenarios that involve Looker and SQL. Being well-prepared will boost your confidence and demonstrate your capability to handle the role effectively.
✨Tip Number 4
Research the company’s products and how they leverage data to improve customer outcomes. Understanding their business model and challenges will allow you to tailor your discussions and show how you can contribute to their data journey.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Looker, SQL, Python, and dbt. Use specific examples of how you've used these tools in previous roles to demonstrate your skills.
Craft a Compelling Cover Letter: Write a cover letter that explains why you're interested in the Data Analyst position and how your background aligns with the company's goals. Mention your passion for data and how you can contribute to their data journey.
Showcase Relevant Projects: If you have worked on any relevant projects or case studies, include them in your application. This could be through a portfolio or as part of your CV, showcasing your ability to derive insights and create self-serve data tools.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Analyst role.
How to prepare for a job interview at Data Science Festival
✨Know Your Tools
Make sure you have a solid understanding of Looker, SQL, and dbt. Be prepared to discuss how you've used these tools in past projects and how they can be applied to the role you're interviewing for.
✨Showcase Your Impact
Prepare examples of how your data analysis has directly influenced decision-making or improved product quality in previous roles. This will demonstrate your ability to make a tangible impact on customer outcomes.
✨Ask Insightful Questions
Come equipped with questions that show your interest in the company's data journey. Inquire about their current data challenges or how they envision the role of a Data Analyst evolving within the team.
✨Practice Problem-Solving
Be ready for technical questions or case studies that test your analytical skills. Practising common data analysis scenarios can help you think on your feet and showcase your problem-solving abilities during the interview.
