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- Tasks: Create data models and reports to influence commercial decisions.
- Company: Leading tech firm in Greater London with a focus on innovation.
- Benefits: Hybrid work model, attractive benefits, and a strong emphasis on work-life balance.
- Other info: Diverse workplace with opportunities for personal and professional growth.
- Why this job: Join a dynamic team and make a real impact through data-driven insights.
- Qualifications: 3-5 years in commercial analytics, skilled in Power BI and SQL.
The predicted salary is between 40000 - 50000 £ per year.
A prominent technology company in Greater London is seeking a Commercial Analyst. This role is responsible for developing data models and reports that drive commercial decisions. Candidates should have 3–5 years of experience in commercial analytics, and proficiency in Power BI and SQL.
Key responsibilities include:
- Enhancing data quality
- Driving efficiency through automation
The position offers a hybrid working model and an attractive benefits package, emphasizing work-life balance and diversity.
Commercial Data Analyst – Power BI & Automation in London employer: Cerebras
Contact Detail:
Cerebras Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Commercial Data Analyst – Power BI & Automation in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect 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 Power BI dashboards and SQL projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions related to commercial analytics. Be ready to discuss how you've enhanced data quality and driven efficiency through automation in your past roles.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Commercial Data Analyst – Power BI & Automation in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in commercial analytics, especially with Power BI and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data analysis and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Achievements: When detailing your past roles, focus on specific achievements that demonstrate your ability to enhance data quality and drive efficiency. Numbers speak volumes, so include metrics where possible to back up your claims!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our diverse and dynamic team!
How to prepare for a job interview at Cerebras
✨Know Your Tools Inside Out
Make sure you’re well-versed in Power BI and SQL. Brush up on your skills by reviewing recent projects or creating sample reports. Being able to discuss specific features or functions you’ve used will show your expertise and confidence.
✨Showcase Your Analytical Mindset
Prepare to discuss how you've used data to drive commercial decisions in your previous roles. Think of examples where your analysis led to significant improvements or efficiencies, and be ready to explain your thought process.
✨Understand the Company’s Needs
Research the technology company and its market position. Familiarise yourself with their products and services, and think about how your role as a Commercial Data Analyst can contribute to their goals. Tailoring your answers to align with their objectives will impress the interviewers.
✨Emphasise Collaboration and Communication
Since this role involves working with various teams, be prepared to discuss how you’ve successfully collaborated in the past. Highlight your communication skills and how you’ve translated complex data insights into actionable recommendations for non-technical stakeholders.