Commercial Analyst
Job description
Original text imported from Reed
Commercial Analyst required by an Ambitious, Luxury Tailormade Travel Operator. This role will be instrumental in driving this company’s commercial performance. Initially a fixed term 6-month contract paying £50,000 (pro rata) Fully home-based.
Responsibilities of this Commercial Analyst position:
- Review revenue performance across sales, marketing, and product activity, building dashboards to track pipeline, conversions, acquisition costs, customer value, and growth trends while delivering forecasting, budget support, and performance updates for leadership.
- Manage CRM data quality, reporting, and system structure by creating tailored dashboards, improving customer data visibility, maintaining reporting accuracy, and streamlining CRM processes and automation with sales and marketing teams.
- Support sales, marketing, product, and finance teams with pipeline analysis, campaign performance, lead quality evaluation, product performance insights, and reliable revenue reporting aligned to shared business KPIs.
- Identify opportunities to improve revenue processes through system upgrades, integrations, automation initiatives, and rollout of analytics tools that enhance reporting efficiency and support business growth.
- Translate commercial data into actionable recommendations by developing forecasting and scenario models, supporting pricing and margin initiatives, and providing insights that guide long-term growth planning.
Experience required:
- 3 – 6 plus years of experience in revenue ops, commercial analysis, or BI
- Strong experience using CRM’s such as HubSpot, Salesforce and Zoho including reporting and creating dashboards
- Advanced Excel and Reporting tools such as Power BI, Tableau and Looker
- Strong knowledge of sales funnels, marketing attribution, and revenue forecasting.
- Experience within travel or ecommerce will be beneficial
If you are interested in this Commercial Analyst role and you feel you have all of the specified experience mentioned above please send your CV to asap
Key skills
AI-extracted from the job advert
Application advice
5 AI-generated recommendations to maximise your chances.
⭐ Highlight your CRM platform expertise (HubSpot, Salesforce, or Zoho) prominently in your Skills section, as the advert lists these as essential tools used daily.
📊 Quantify your dashboard impact: "Created 12 revenue dashboards in Power BI, reducing reporting time by 40% and enabling real-time pipeline visibility for 8 stakeholders."
🎯 Emphasise your revenue forecasting track record with specific accuracy metrics: "Built 6-month rolling forecasts achieving 92% accuracy, supporting £2.3M budget allocation decisions."
🌐 If you have travel or ecommerce experience, lead with this in your Personal Statement—the advert explicitly flags it as beneficial, making you stand out in a competitive pool.
🤝 Showcase cross-team impact: "Partnered with sales, marketing, and finance to standardise KPI definitions across 3 departments, improving forecast reliability by 28%."
Suggested CV bullets
3 bullets our AI drafted for this specific advert, mirroring its ATS keywords.
Add these 3 bullets under your most recent experience:
- •Built 8 revenue dashboards in Power BI tracking pipeline, conversions, and customer acquisition costs across 3 business units, enabling leadership to forecast £4.2M annual revenue with 94% accuracy.
- •Managed CRM data quality for 12,000+ customer records in Salesforce, implementing validation rules and automation workflows that reduced reporting errors by 67% and improved sales team adoption by 43%.
- •Developed marketing attribution model comparing 6 acquisition channels, identifying that organic search drove 38% of high-value customers, leading to £180k reallocation from paid search to content marketing.
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Letter preview — tailored to C&M Travel Recruitment
Dear Hiring Manager,
I am writing to apply for the Commercial Analyst position at your luxury travel operator. Your focus on data-driven revenue performance aligns perfectly with my background in Revenue Operations and commercial analysis. I have 5 years' experience building dashboards in Power BI and Tableau, managing CRM data quality in HubSpot and Salesforce, and delivering forecasting models that guide leadership decisions across sales, marketing, and finance teams.
My background in revenue operations has equipped me to translate complex commercial data into actionable insights. I have optimised sales funnel reporting, improved marketing attribution accuracy, and streamlined CRM processes through automation—all of which directly support the KPI-aligned reporting your teams require.
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Interview questions
10 questions generated from this advert.
Technical
- ›Walk us through your experience building dashboards in Power BI or Tableau. What metrics did you prioritise, and how did leadership use them to make decisions?
- ›Describe a time you identified and resolved a data quality issue in a CRM system. What was the root cause, and how did you prevent recurrence?
- ›How have you used marketing attribution modelling to optimise campaign spend? What channels or models did you focus on?
- ›Tell us about your experience with sales funnel analysis. How did you identify bottlenecks, and what improvements did you recommend?
- ›Have you integrated multiple data sources (CRM, marketing automation, finance systems) into a single reporting layer? What challenges did you face?
Behavioural
- ›Describe a situation where a stakeholder disagreed with your revenue forecast or analysis. How did you handle it?
- ›Tell us about a time you had to learn a new CRM platform or BI tool quickly. How did you approach it, and what was the outcome?
- ›Give an example of when you identified a process inefficiency and drove automation or system improvements. What was the business impact?
- ›Describe a project where you had to balance competing demands from sales, marketing, and finance teams. How did you prioritise?
- ›Tell us about a time your analysis led to a significant business decision or change in strategy. What was your role in that outcome?
STAR answer examples
Model answers using the Situation-Task-Action-Result framework. Adapt to your own experience.
Describe a time you identified and resolved a data quality issue in a CRM system. What was the root cause, and how did you prevent recurrence?
Tell us about a time you had to learn a new CRM platform or BI tool quickly. How did you approach it, and what was the outcome?
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