Company Description
Prospection specializes in patient-centric intelligence, enabling pharmaceutical brands to evaluate the impact of patient care on market performance. Leveraging its AI-powered Patient-centric Intelligence Core, Prospection delivers advanced products, services, and data solutions to optimize drug performance and improve patient outcomes. With over a decade of experience, the company has partnered with more than 100 life sciences organizations, working across 20+ therapeutic areas and over 100 indications. Prospection’s innovative approach empowers commercial, medical, and analytics teams in the life sciences industry to make data-driven decisions that enhance healthcare delivery.
The Opportunity
Prospection has progressed into a more mature scaling phase, expanding our product platforms and analytics services across key international markets. As a growing SaaS business, our ability to understand, track, and optimise key recurring‑revenue metrics is critical to sustaining this momentum. To support this next stage of growth, we are seeking a Revenue Operations Analyst to help mature, optimise, and evolve our commercial processes, systems, and reporting.
In this role, you will play a critical part in strengthening our revenue engine by supporting sales forecasting, sales planning, performance reporting, and the ongoing administration and enhancement of Salesforce and related sales systems. You will work closely with regional leaders, Finance, and customer‑facing teams to ensure our sales processes are efficient, data‑driven, and aligned to business goals. Experience working with core SaaS metrics such as ARR, NRR, churn, expansion, pipeline velocity, and cohort performance will be essential to providing meaningful insights and supporting predictable revenue growth.
This role is ideal for someone who enjoys analytical problem‑solving, process optimisation, and system administration, and who wants to contribute directly to improving sales effectiveness, revenue predictability, and the operational discipline required in a scaling SaaS environment.
Key Responsibilities:
Sales Support & Forecasting
- Support regional sales teams with pipeline management, sales activity reporting, and forecast hygiene
- Manage the forecast cadence, ensuring accuracy, consistency, and alignment with Finance
- Integrate sales forecasts into financial planning models to support revenue predictability
- Identify forecast risks and opportunities through data analysis
Sales Planning & Incentive Support
- Support the annual planning cycle, including territory design, sales capacity modelling, and quota allocation
- Assist in the design, modelling, and administration of commission and incentive plans
- Maintain documentation and governance for sales planning processes
Salesforce & Sales Systems Administration
- Own the day‑to‑day administration, maintenance, and optimisation of Salesforce.com
- Support the continued implementation and evolution of Salesforce to align with business processes
- Drive adoption of Revenue Cloud to improve quoting, pricing, and subscription workflows
- Manage user access, data quality, dashboards, and system configurations
- Maintain and improve the broader sales tech stack (e.g., reporting tools, integrations)
Reporting & Analytics
- Develop and enhance dashboards and reporting that provide insights into performance against targets
- Analyse sales trends, pipeline health, and productivity metrics to support decision‑making
- Provide actionable insights to Sales, Solutions, Services, and leadership teams
- Ensure data accuracy and consistency across systems
Process Improvement & Operational Excellence
- Support the maturation of sales processes and operating rhythms across regions
- Identify inefficiencies and recommend improvements to workflows, data structures, and reporting
- Document processes and ensure consistent adoption across teams
- Partner cross‑functionally to ensure commercial processes are scalable and aligned to business needs
Key Objectives
- Enable accurate, timely, and actionable sales forecasting
- Improve visibility into business performance through high‑quality reporting
- Support annual sales planning, quota setting, and incentive administration
- Maintain and evolve Salesforce and sales systems to support commercial workflows
- Strengthen sales process discipline and operational efficiency across regions
To be successful in this role, you will have:
- 5+ years’ experience in Revenue Operations, Sales Operations, or a related analytical role, supporting sales teams through data, systems, and process optimisation in a SaaS environment
- Hands‑on experience administering and enhancing Salesforce.com, including managing data quality, building reports and dashboards, supporting user adoption, and operationalising sales processes (experience with Revenue Cloud is a bonus)
- Strong understanding of the SaaS customer lifecycle and key recurring‑revenue metrics, including ARR, MRR, NRR, churn, expansion, pipeline velocity, conversion rates, and cohort analysis
- Experience supporting forecasting, sales planning, and performance reporting, with the ability to translate data into insights that drive accountability and decision‑making
- Demonstrated ability to improve and maintain commercial processes, including documenting workflows, identifying inefficiencies, and partnering cross‑functionally to implement enhancements
- Ability to work effectively across Sales, Finance, and Customer‑facing teams, contributing to a cohesive operating rhythm and ensuring alignment on revenue‑related processes
- Strong commercial acumen, with the ability to interpret business performance, understand revenue drivers, and provide insights that support growth and operational discipline
- Advanced analytical skills, including the ability to work with complex datasets, build meaningful dashboards, and deliver clear, actionable insights aligned to business needs
- Experience with sales tools and systems (e.g., Salesforce, reporting/BI tools, forecasting tools), with a track record of driving adoption and ensuring data integrity
- A degree in Business, Data/Analytics or a related field (preferred but not required)
