Sales Analyst
Job description
Original text imported from Reed
We are seeking a Sales Analyst to support data-driven decision-making across our sales function. The role combines detailed analysis with the ability to communicate findings clearly and persuasively. Working closely with Sales, Design, Commercial, Finance, and Operations, the Sales Analyst will present insight that helps guide sales strategy and improve pipeline quality.
A key element of the role is the ability to create a coherent story from data and influence sales teams to act on the insights provided.
Key Responsibilities
Sales & Pipeline Analysis
- Analyse performance across regional sales managers, national accounts, major projects, and design
- Maintain Salesforce reporting across pipeline health, conversions, quoting activity, and win/loss trends
- Use Glenigan to identify opportunities and track competitor activity
- Produce weekly, monthly, and quarterly reporting for stakeholders
Insight, Storytelling & Influence
- Translate complex data into clear, actionable narratives
- Present findings in a structured, persuasive way that gains buy-in from sales teams
- Support the Sales Director in embedding data-led decision-making
- Build strong relationships with sales managers to help them understand and trust analytical insight
Market & Customer Insight
- Analyse customer buying patterns, repeat business, and profitability
- Highlight at-risk accounts and emerging opportunities
- Produce market and competitor intelligence to support sales planning
Reporting & Forecasting
- Develop accurate sales forecasts using CRM data and market indicators
- Support annual budgets and quarterly reforecasting
- Maintain KPI dashboards across revenue, margin, design throughput, and opportunity stages
Data Quality & Collaboration
- Improve Salesforce data accuracy and consistency
- Standardise reporting processes within the sales team
- Work with Design (UK & Bangkok), Commercial, Operations, and Finance on cross-functional data needs
About You
- Experience as a Sales Analyst, Commercial Analyst, or similar
- Strong Excel skills including modelling and advanced formulas
- Experience with Salesforce CRM
- Familiarity with Glenigan, Barbour ABI, or similar platforms
- Excellent communication skills with the ability to present data clearly
- Confidence to challenge assumptions and influence senior stakeholders
- Strong attention to detail and ability to work independently
Desirable: A degree in Data Analytics, Economics, Business, Marketing, or related discipline.
Benefits
- Hybrid working - work from home one day per week
- 25 days’ holiday, rising with length of service (plus 8 bank holidays)
- SMART Pension Scheme
- Health Cash Plan to claim back every day healthcare costs
- Employee Assistance Programme – wellbeing, legal and emotional support
- Life Assurance - 2× basic salary
- Holiday purchase scheme (up to 6 weeks total leave)
- Bike2Work Scheme
- EV Salary Sacrifice Scheme (after 6 months)
- Employee discount scheme for kitchens, appliances and staff sales
Key skills
AI-extracted from the job advert
Application advice
5 AI-generated recommendations to maximise your chances.
⭐ Highlight your Salesforce CRM expertise prominently as this is specifically mentioned as essential for pipeline reporting and data accuracy
📊 Quantify your analytical impact: 'Improved forecast accuracy by 15% through enhanced CRM data modelling'
🎯 Emphasise your storytelling abilities - the role specifically values translating complex data into actionable narratives
🤝 Showcase experience influencing senior stakeholders and sales teams, as challenging assumptions is key to this role
🌐 Mention any experience with construction industry platforms like Glenigan or Barbour ABI to demonstrate sector knowledge
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:
- •Improved Salesforce data accuracy by 25% through standardised reporting processes, enabling more reliable pipeline forecasting for 12 regional sales managers
- •Developed Excel-based sales forecast model incorporating CRM data and market indicators, achieving 18% improvement in quarterly prediction accuracy
- •Analysed customer buying patterns across 200+ accounts using advanced Excel formulas, identifying £1.2M in at-risk revenue and 15 emerging opportunities
Free to copy — tailoring requires a 30-sec CV upload.
Your cover letter is ready
We've drafted a cover letter for Dennis and Robinson T/A Paula Rosa Manhattan. Preview the opening, then unlock the full personalised version.
Letter preview — tailored to Dennis and Robinson T/A Paula Rosa Manhattan
Dear Hiring Manager,
Dennis & Robinson's focus on data-driven sales strategy aligns perfectly with my analytical background, which is why I am applying for the Sales Analyst position. My experience with Salesforce CRM and advanced Excel modelling, combined with my ability to translate complex data into actionable narratives, makes me well-suited to support your sales function's decision-making process.
My background in commercial analysis has equipped me with the skills to maintain pipeline reporting, develop accurate forecasts, and influence senior stakeholders through clear data presentation. I have successfully worked with cross-functional teams including Sales, Finance, and Operations to improve data quality and embed analytical insights into strategic planning.
Free signup, no card needed. Export to PDF/Word requires a £1.99 trial (14 days).
Interview questions
10 questions generated from this advert.
Technical
- ›How would you approach cleaning and standardising Salesforce data to improve reporting accuracy?
- ›Walk me through how you would build a sales forecast model using CRM data and market indicators
- ›How do you use Glenigan or similar platforms to identify sales opportunities?
- ›Describe your approach to creating KPI dashboards for revenue and pipeline metrics
- ›How would you analyse win/loss trends to improve sales performance?
Behavioural
- ›Tell me about a time you had to influence a sales team to change their approach based on your analysis
- ›Describe a situation where you had to present complex data findings to senior stakeholders
- ›Give an example of when you challenged assumptions in a sales forecast or strategy
- ›Tell me about a time you identified an at-risk account through data analysis
- ›Describe how you've built trust with sales managers who were initially sceptical of data insights
STAR answer examples
Model answers using the Situation-Task-Action-Result framework. Adapt to your own experience.
Tell me about a time you had to influence a sales team to change their approach based on your analysis
Describe a situation where you had to present complex data findings to senior stakeholders