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For Companies At a Glance
- Tasks: Manage data visualisations and provide analytical insights to drive decision-making.
- Company: Respected global company based in Greater London with a focus on innovation.
- Benefits: Competitive salary of £35,000 - £45,000 and hybrid work flexibility.
- Why this job: Join a dynamic team and make an impact through data-driven insights.
- Qualifications: 1 year of experience in a commercial Analyst role and a degree in a quantitative field.
- Other info: Great opportunity for career growth in a collaborative environment.
The predicted salary is between 35000 - 45000 £ per year.
A respected global company in Greater London is seeking a Data Analyst skilled in SQL and Tableau for a hybrid role. The ideal candidate will have at least 1 year of experience in a commercial Analyst position and a degree in a quantitative field.
Responsibilities include:
- Managing data visualizations
- Partnering with stakeholders
- Providing analytical insights
The remuneration ranges between £35,000 - £45,000 annually, making it a fantastic opportunity for those eager to engage with data-driven decision-making.
Data Analyst (SQL & Tableau) – Hybrid, Insight-Driven Role employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (SQL & Tableau) – Hybrid, Insight-Driven Role
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL queries and Tableau dashboards. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by practising common data analyst questions. Brush up on your technical skills and be ready to discuss how you've used data to drive decisions in past roles. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Data Analyst (SQL & Tableau) – Hybrid, Insight-Driven Role
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL and Tableau. We want to see how you've used these tools in previous roles, so don’t hold back on the details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about data analysis and how your skills align with our needs. Keep it engaging and personal.
Showcase Your Analytical Skills: In your application, give examples of how you've provided analytical insights in past roles. We love seeing real-world applications of your skills, so share those success stories!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Jobster
✨Know Your SQL and Tableau Inside Out
Make sure you brush up on your SQL queries and Tableau dashboards before the interview. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Understand the Company’s Data Needs
Research the company and its data-driven decision-making processes. Familiarise yourself with their industry and think about how your skills can help them achieve their goals. This will show that you're not just a candidate, but someone who genuinely cares about contributing to their success.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems or analyse data sets. Practise explaining your thought process clearly and logically, as this will demonstrate your analytical skills and ability to communicate insights effectively.
✨Showcase Your Stakeholder Management Skills
Since the role involves partnering with stakeholders, be prepared to discuss how you've collaborated with others in previous roles. Share examples of how you’ve translated complex data into actionable insights for non-technical audiences, highlighting your communication skills.
