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- Tasks: Join us as a Senior Data Analyst to uncover insights and drive data-driven decisions.
- Company: Be part of a fast-scaling tech company transforming logistics and delivery.
- Benefits: Enjoy perks like pension, life assurance, eye care, employee discounts, and company retreats.
- Why this job: Make a real impact in a dynamic environment while working with passionate teams.
- Qualifications: Strong SQL experience, Python knowledge, and excellent communication skills required.
- Other info: This is a hybrid role based in Manchester with ambitious growth plans.
The predicted salary is between 45000 - 75000 £ per year.
Senior Data Analyst
Salary: Up to £75k
Location: Manchester, Hybrid
Data Idols is proud to be working with a fast-scaling, tech-driven organisation that’s transforming the logistics and delivery space. With ambitious growth plans across the UK and beyond, this is a brilliant opportunity to join a business that’s making data central to every decision.
The Opportunity
We’re looking for a Senior Data Analyst who combines analytical talent with great communication and a proactive mindset. In this role, you’ll partner closely with operational teams to uncover insights, support performance improvements, and help shape smarter, data-driven decisions across the business.
You’ll play a key role in using data to inform, automate, and optimise how the organisation operates, solving real-world challenges in a dynamic, fast-paced environment.
What’s in it for you?
- Pension
- Life Assurance
- Eye Care
- Employee Discounts
- Company Retreats
Skills and Experience
- Strong experience with SQL
- Good working knowledge of Python for data analysis
- Proven ability to build dashboards and clearly communicate insights
- Excellent stakeholder engagement and communication skills
If you’re a curious, driven analyst who’s passionate about turning data into action, and ready to join a high-growth company on a mission to disrupt the logistics space, we’d love to hear from you. Click Apply to send your CV and start the conversation.
Data Analyst
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Senior Data Analyst employer: Data Science Festival
Contact Detail:
Data Science Festival Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Familiarise yourself with the logistics and delivery industry. Understanding the specific challenges and trends in this sector will help you demonstrate your knowledge during interviews and show how your analytical skills can directly contribute to the company's goals.
✨Tip Number 2
Brush up on your SQL and Python skills. Since these are key requirements for the role, consider working on personal projects or contributing to open-source projects that involve data analysis to showcase your proficiency and practical experience.
✨Tip Number 3
Prepare examples of how you've successfully communicated insights from data in previous roles. Being able to articulate your findings clearly and effectively is crucial, so think of specific instances where your insights led to actionable changes.
✨Tip Number 4
Network with professionals in the data analytics field, especially those in logistics. Attend industry meetups or webinars to connect with potential colleagues and learn more about the company culture, which can give you an edge in your application.
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL and Python, as well as your ability to build dashboards. Use specific examples that demonstrate your analytical skills and how you've communicated insights effectively.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data analysis and how it can drive business decisions. Mention your proactive mindset and provide examples of how you've supported performance improvements in previous roles.
Showcase Stakeholder Engagement: Highlight your excellent communication skills by providing examples of how you've engaged with stakeholders in the past. This could include instances where you translated complex data into actionable insights for non-technical teams.
Proofread Your Application: Before submitting, carefully proofread your application materials. Ensure there are no typos or grammatical errors, as attention to detail is crucial for a Senior Data Analyst role.
How to prepare for a job interview at Data Science Festival
✨Showcase Your SQL Skills
Since strong experience with SQL is a key requirement, be prepared to discuss your past projects involving SQL. Bring examples of complex queries you've written and how they contributed to data analysis or decision-making.
✨Demonstrate Your Python Knowledge
Highlight your working knowledge of Python for data analysis during the interview. Be ready to explain how you've used Python in previous roles, particularly in automating tasks or analysing large datasets.
✨Prepare for Stakeholder Engagement Questions
Given the importance of communication skills, think of examples where you've successfully engaged with stakeholders. Prepare to discuss how you translated complex data insights into actionable recommendations for non-technical audiences.
✨Emphasise Your Problem-Solving Mindset
The role involves solving real-world challenges, so be ready to share specific instances where you've identified problems through data analysis and implemented solutions. This will demonstrate your proactive approach and analytical talent.
