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- Tasks: Analyze commercial product performance and provide insights to drive business decisions.
- Company: Join a dynamic team in Paddington, London, focused on innovative solutions for clients.
- Benefits: Enjoy flexible work arrangements with 2-3 days in the office and competitive pay.
- Why this job: Be part of a collaborative environment where your analytical skills can make a real impact.
- Qualifications: Experience with data analysis tools like SQL, R, Python, and MS Power BI is essential.
- Other info: This role is inside IR35, offering £400-425 per day for a 6-month contract.
The predicted salary is between 48000 - 72000 £ per year.
Title: Commercial Analyst
Start: ASAP or 3rd March
Duration: 6-months initially
Location: Paddington, London (2-3 days per week)
Rate: Inside IR35 paying £400-425 per day
We are looking for a commercial analyst to work closely with our clients\’ partners to understand requirements and provide collaborative solutions based on commercial and analytical understanding.
Responsibilities:
- To deliver Commercial product performance analysis and insights
- To work closely with Financial Services commercial and Marketing roles to fully understand requirements and provide collaborative solutions
- To identify and understand trends in product commercial performance
- To forecast the impact of new propositions on P&L via a deep understanding of how current product use drives spend & engagement
Requirements:
- Experience creating impact through data driven insights
- MS Suite (Word, Excel, PowerPoint)
- MS Power BI
- Experienced using simple statistics (forecasting, regression, clustering etc)
- SQL, R, Python
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Commercial Analyst employer: Stott and May
Contact Detail:
Stott and May Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Commercial Analyst
✨Tip Number 1
Familiarize yourself with the specific tools mentioned in the job description, especially MS Power BI and SQL. Consider taking a short online course or tutorial to brush up on these skills, as demonstrating proficiency can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the financial services sector. Attend industry meetups or webinars where you can connect with potential colleagues or mentors who can provide insights into the role and company culture.
✨Tip Number 3
Prepare to discuss your experience with data-driven insights in detail. Think of specific examples where your analysis led to significant business decisions or improvements, as this will showcase your ability to deliver impactful results.
✨Tip Number 4
Stay updated on current trends in commercial performance analysis. Reading relevant articles or reports can help you speak knowledgeably about industry trends during interviews, showing that you're proactive and engaged in your field.
We think you need these skills to ace Commercial Analyst
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Commercial Analyst position. Understand the key responsibilities and requirements, especially the importance of data-driven insights and collaboration with financial services.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with data analysis, particularly using tools like MS Power BI, SQL, R, or Python. Provide specific examples of how you've created impact through data-driven insights in previous roles.
Showcase Analytical Skills: Demonstrate your analytical skills by discussing your experience with forecasting, regression, and clustering. Mention any relevant projects where you successfully identified trends in product performance.
Tailor Your Application: Customize your application materials to reflect the language and priorities mentioned in the job description. Use keywords related to commercial performance analysis and collaborative solutions to make your application stand out.
How to prepare for a job interview at Stott and May
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've used data to drive insights in your previous roles. Highlight your experience with tools like SQL, R, or Python, and be ready to explain how you applied these skills to solve real business problems.
✨Understand the Business Context
Research the company and its products thoroughly. Understand their market position and recent developments. This will help you tailor your responses and demonstrate that you can provide collaborative solutions based on a deep understanding of their commercial performance.
✨Prepare for Technical Questions
Expect questions related to forecasting, regression, and clustering. Brush up on these statistical concepts and be ready to discuss how you've applied them in your work. You might also be asked to interpret data sets or provide insights based on hypothetical scenarios.
✨Communicate Clearly and Confidently
Since the role involves working closely with various teams, effective communication is key. Practice explaining complex analytical concepts in simple terms. This will show that you can collaborate effectively with non-technical stakeholders, such as those in Financial Services and Marketing.
