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Commercial Analyst
Culligan UKCommercial Analyst in the UK collaborating with Sales Operations, focusing on data-driven strategies for revenue growth. Handling pipeline analysis, deal health oversight, and performance reporting.
Tech Stack
Tools & technologiesPythonSQLTableau
About the role
Key responsibilities & impact- Build and maintain weekly pipeline dashboards showing coverage, velocity, stage conversion, and deal health
- Support Enterprise Sales Leader(s) in forecast calls - providing data-driven perspectives on commit calls
- Track pipeline waterfall relating it to forecast expectations and flag risks proactively
- Analyse pipeline coverage ratios by segment, rep, and product - surface gaps before they become problems
- Attend deal review meetings with data book prepared [deal history, progression, comparable deals)
- Flag at-risk deals based on stall patterns, missing next steps, or historical win/loss signals
- Challenge optimistic close dates or amounts with evidence from similar deals
- Maintain 'swing deal' tracker for high-impact opportunities requiring executive attention
- Analyse CAC/LTV and Pricing structure
- Prepare weekly/monthly performance snapshots
- Conduct ad-hoc analysis on request
- Build rep-level scorecards showing activity, CRM health, attainment trends
- Prepare materials for Weekly/Monthly/Quarterly Business Reviews
- Weekly 1:1 with Sales Vertical Leadership – proactively setting the agenda, not order-taking
- Become the 'go-to' for Business Unit data questions - own credibility through accuracy and speed
- Translate sales leader asks into analytical frameworks – not just pulling reports
- Build trust through reliability and project delivery
- Territory & Capacity Planning: Model optimal territory design, quota allocation, headcount requirements
- Compensation Plan Modelling: Scenario test comp plan changes, build payout calculators, analyse incentive effectiveness
- Win/Loss Analysis: Interview reps, analyse patterns, produce actionable insights on what's working
- Market & Competitive Research: Size TAM/SAM, benchmark performance, assess competitive positioning
Requirements
What you’ll need- 3-5 years experience in sales operations, revenue operations, FP&A, or commercial analytic
- Advanced Excel/Google Sheets skills: pivot tables, VLOOKUP/INDEX-MATCH, scenario modelling, data visualization
- Salesforce or equivalent CRM experience: comfortable building reports, understanding pipeline mechanics, data hygiene
- AI tech stack experience and exposure: process automation and optimisation
- Commercial acumen: you understand how sales works - pipeline, forecasting, quotas, territories, comp plans
- Communication skills: can present insights to executives, write clear recommendations, facilitate difficult conversations
- Intellectual curiosity: you dig into 'why' not just 'what'; pattern recognition; love solving puzzles
- Self-directed: don't need handholding; proactive not reactive; manage your own workload
- Experience in B2B SaaS, subscription business models, or water treatment/environmental service (desirable)
- SQL, Python, or BI tools (Tableau, Looker, Power BI) for deeper data analysis (desirable)
- Exposure to territory planning, quota setting, or compensation plan design (desirable)
- Sales methodology knowledge (MEDDIC, SPICED, Challenger, etc.) (desirable)
- Previous experience in embedded/business partner analyst roles (not centralized reporting teams) (desirable)
Benefits
Comp & perks- 25 days' holiday + Bank Holidays
- Company Pension scheme
- Company Sick Pay (after qualifying period)
- Cycle to Work scheme available
- Employee rewards and discounts
- Option to join Health Care Cash Plan
- 24/7 365-day access to Employee Assistance Programme through Health Assured
- Access to on-going learning and development with our online learning platform
- Free onsite parking
- Life Assurance
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
advanced ExcelGoogle Sheetspivot tablesVLOOKUPINDEX-MATCHscenario modellingdata visualizationSQLPythonBI tools
Soft Skills
communication skillsintellectual curiosityself-directedproactivepattern recognitionproblem-solvingtrust-buildingdata-driven decision makingpresentation skillsfacilitation skills