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- Tasks: Lead data analysis to solve commercial problems and guide strategic decisions.
- Company: Join a global online marketplace facilitating thousands of transactions daily.
- Benefits: Enjoy a competitive salary, bonus, and 12% pension with flexible working options.
- Why this job: Be part of a dynamic team making real impact in a fast-paced environment.
- Qualifications: Strong SQL skills and experience with large datasets required; analytical mindset essential.
- Other info: Engage in a structured interview process with technical tasks and case studies.
The predicted salary is between 60000 - 84000 £ per year.
A global online marketplace is hiring a Senior Commercial Analyst to join their newly formed Trading Analytics function. Reporting into the Lead for Trade Analytics and sitting within a wider team of 10, this role is ideal for someone who thrives in a fast-paced, data-rich environment and enjoys solving commercial problems in close collaboration with stakeholders.
The company facilitates tens of thousands of transactions daily across a complex network of customers, partners, and delivery operations. This team plays a central role in understanding commercial performance, identifying root causes of trading issues, and shaping strategic decisions across the business.
What you'll be doing:
- Leading deep-dive, exploratory analysis using SQL and Looker to understand trends and performance issues
- Identifying and explaining trading anomalies (e.g. unexpected sales dips) and recommending actions
- Working closely with commercial and trading stakeholders to evaluate performance and guide decisions on pricing, marketing, and investment
- Creating dashboards and reporting frameworks for different stakeholder groups
- Managing shifting priorities and responding quickly to business-critical questions
- Supporting a new function with high visibility and real commercial impact
What we're looking for:
- Strong SQL skills (4-5+ years) and experience working with large-scale datasets
- Experience with Looker or another visualisation tool
- Proven commercial analytics background - confident analysing sales, ROI, and trading data
- Excellent stakeholder management - able to win buy-in and influence senior decision-makers
- A curious, problem-solving mindset with strong attention to detail
- Comfortable operating in high-volume, complex organisations (e.g. marketplace, eCommerce or similar)
Interview Process:
- Technical Screening - 2 SQL tasks + 1 logic-based exercise (via Kaggle)
- Take-Home Case Study - 4-5 days to complete, followed by a 1.5 hour in-person interview, including:
- 20-minute presentation
- Technical, behavioural, and competency-based questions
Senior Commercial Analyst employer: Harnham - Data & Analytics Recruitment
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Commercial Analyst
✨Tip Number 1
Brush up on your SQL skills before the technical screening. Since this role requires strong SQL knowledge, practice writing complex queries and working with large datasets to ensure you're confident during the tasks.
✨Tip Number 2
Familiarise yourself with Looker or similar visualisation tools. Being able to create insightful dashboards will be crucial in this role, so explore online resources or tutorials to enhance your skills in data visualisation.
✨Tip Number 3
Prepare for the take-home case study by reviewing common commercial analytics scenarios. Think about how you would approach analysing sales trends or ROI, as this will help you structure your analysis effectively.
✨Tip Number 4
Practice your presentation skills for the in-person interview. You'll need to present your findings clearly and confidently, so consider rehearsing in front of friends or using a mirror to refine your delivery.
We think you need these skills to ace Senior Commercial Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong SQL skills and experience with large-scale datasets. Include specific examples of how you've used data analysis to solve commercial problems, as this is crucial for the Senior Commercial Analyst role.
Craft a Compelling Cover Letter: In your cover letter, emphasise your experience with Looker or similar visualisation tools. Discuss your ability to manage stakeholder relationships and provide examples of how you've influenced senior decision-makers in previous roles.
Showcase Problem-Solving Skills: During the application process, be prepared to demonstrate your problem-solving mindset. Use specific examples from your past work where you identified trading anomalies or made recommendations based on your analysis.
Prepare for Technical Assessments: Familiarise yourself with SQL tasks and logic-based exercises, as these will be part of the technical screening. Brush up on your SQL skills and practice using Kaggle or similar platforms to enhance your analytical abilities.
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Master SQL and Data Analysis
Given the emphasis on strong SQL skills, make sure to brush up on your SQL knowledge. Practice writing complex queries and be prepared to discuss your experience with large datasets. Familiarise yourself with common data analysis techniques that can help you identify trends and anomalies.
✨Prepare for the Take-Home Case Study
The take-home case study is a crucial part of the interview process. Allocate enough time to complete it thoroughly. Focus on presenting your findings clearly and concisely, as this will demonstrate your analytical skills and ability to communicate complex information effectively.
✨Showcase Your Stakeholder Management Skills
Since the role involves working closely with various stakeholders, be ready to discuss your experience in managing relationships and influencing decision-makers. Prepare examples that highlight your ability to collaborate and guide teams towards strategic decisions.
✨Practice Your Presentation Skills
You’ll have a 20-minute presentation during the in-person interview, so practice delivering your insights confidently. Make sure to structure your presentation logically, use visuals effectively, and anticipate questions that may arise from your analysis.
