At a Glance
- Tasks: Lead a team to transform commercial data into actionable insights and improve revenue performance.
- Company: Join OneOcean, a trusted maritime innovator with over 260 years of legacy.
- Benefits: Enjoy competitive salary, career growth, and the chance to make a global impact.
- Other info: Dynamic work environment with opportunities for professional development and collaboration.
- Why this job: Be at the forefront of maritime innovation while shaping the future of revenue analytics.
- Qualifications: Experience in revenue operations and strong analytical skills are essential.
The predicted salary is between 56700 - 69300 £ per year.
Department: Revenue
Employment Type: Full Time
Location: UK- Southampton
Description
Discover OneOcean: OneOcean is a unified brand born from the integration of OneOcean and Ocean Technologies Group. Owned by Lloyd’s Register, an organisation with more than 260 years of trust, integrity and leadership at sea, OneOcean combines the agility and ambition of a fast-moving innovator with the strength and stability of one of the world’s most trusted maritime institutions. At the heart of OneOcean is a portfolio unlike any other in maritime. A comprehensive, integrated portfolio built on years of expertise, trusted by thousands of maritime professionals around the world.
Our Mission: Our mission is clear. In the race to zero emissions, our research, advisory and technical expertise and industry-firsts are supporting a safe, sustainable maritime energy transition. Today we are a leading provider of classification and compliance services to the marine and offshore industries, helping our clients design, construct and operate their assets to accepted levels of safety and environmental compliance.
Why Join OneOcean Crew?
- Legacy & Innovation: We were created more than 260 years ago as the world’s first marine classification society to improve and set standards for the safety of ships.
- Global Impact: Our digital solutions are relied upon by more than 30,000 vessels, following the acquisition of OneOcean in 2022 and Ocean Technologies Group in 2024.
- Product Offering: Covering five proven product areas - learning, fleet operations, compliance, voyage planning and performance management - supporting its customers from ship to shore, from training and people operations, to voyage compliance and optimisation.
Navigating the position: RevOps Data Team Lead
RevOps Data Analyst Team Lead is accountable for leading the revenue analytics capability and turning commercial data into trusted, actionable insight. The role manages and develops a team of analysts, sets analytical standards and priorities, and partners with Sales, Account Management, Customer Success, Finance, Marketing, Product, and central RevOps teams to improve visibility, decision making, and commercial performance. The role combines hands-on analysis with team leadership. It owns the quality and consistency of revenue reporting, supports forecasting and planning, develops scalable dashboards and data products, and ensures stakeholders understand the commercial story behind the numbers. In a transforming, post-merger environment, the role will also help harmonize account & contacts, definitions, reporting, data models, and ways of working across legacy businesses and systems.
Key Responsibilities
- Team Leadership & Delivery Management: Lead, coach, and develop a team of RevOps Data Analysts, setting clear objectives, quality standards, and development plans. Manage the analytics backlog and work allocation, balancing recurring reporting, strategic analysis, data-quality improvement, and urgent business requests. Create an effective intake and prioritization process based on business value, urgency, effort, dependencies, and stakeholder alignment. Review analytical outputs for accuracy, clarity, consistency, and commercial relevance before publication.
- Revenue Analytics & Commercial Insight: Deliver analysis across bookings, pipeline, conversion, sales velocity, renewals, churn, contraction, expansion, pricing, product mix, customer segmentation, and revenue performance. Translate complex analysis into concise commercial narratives, risks, opportunities, and recommended actions for revenue and executive leadership. Build driver-based and scenario analysis to support target setting, capacity planning, territory design, investment decisions, and regional business plans. Partner with Finance to reconcile commercial and financial views while maintaining clear ownership of definitions and source data.
- Forecasting, Planning & Performance Management: Support the design and operation of forecasting processes for bookings, renewals, expansion, contraction, and churn. Develop forecast-quality diagnostics, pipeline coverage analysis, trend reporting, and early-warning indicators. Provide analytical support for weekly performance reviews, monthly forecasts, quarterly business reviews, and annual planning. Monitor KPI performance against plan and help business owners identify root causes and corrective actions.
- Reporting, Dashboards & Self-Service: Own and continuously improve the core revenue reporting suite, executive dashboards, scorecards, and recurring performance packs. Design scalable, user-friendly data products that reduce manual reporting and enable appropriate self-service analysis. Establish documentation, refresh schedules, ownership, and service expectations for critical reports and dashboards. Drive adoption by training users on definitions, interpretation, and effective use of revenue insight.
- Data Governance, Quality & Transformation: Define and govern commercial metrics, dimensions, business rules, and reporting hierarchies in partnership with Finance, Data, and RevOps stakeholders. Identify material data-quality issues, quantify their business impact, assign ownership, and track remediation to closure. Support CRM, BI, and data-platform transformation by translating commercial requirements into clear analytical and reporting specifications. Help harmonize data and reporting across legacy systems, products, regions, and acquired businesses. Promote appropriate controls for data access, privacy, confidentiality, and responsible handling of commercial information.
- Stakeholder Partnership: Act as the primary analytics partner for senior Revenue and RevOps stakeholders, constructively challenging assumptions and clarifying decision requirements. Partner with Process, Tooling, Order & Contract Operations, Finance, Marketing, Product, and enterprise Data teams to align insight with operational workflows and strategic priorities. Communicate analytical limitations, assumptions, and confidence levels clearly, avoiding false precision and ensuring decisions are evidence based.
Skills, Knowledge and Expertise
- Strong experience in Revenue Operations, Sales Operations, commercial analytics, business intelligence, or a similar analytical role in a B2B, SaaS, subscription, or recurring-revenue environment.
- Demonstrated experience leading, coaching, or coordinating analysts and managing multiple analytical priorities.
- Advanced analytical capability, including data interpretation, root-cause analysis, scenario modeling, and executive-level storytelling.
- Strong practical experience with CRM and BI environments; Salesforce and Power BI experience is highly desirable.
- Advanced SQL and Excel skills; experience with data transformation, semantic models, Python, or equivalent analytical tools is desirable.
- Understanding of commercial metrics such as bookings, ARR/MRR, pipeline, conversion, retention, NRR/GRR, churn, expansion, pricing, and forecast accuracy.
- Experience improving data quality, metric governance, reporting controls, and documentation across multiple systems or business units.
- Strong stakeholder-management skills, with the confidence to challenge assumptions and influence senior commercial leaders.
- Ability to operate effectively in a matrixed, global, post-merger, or transforming organization.
- Highly structured, curious, pragmatic, and comfortable moving between hands-on analysis and team leadership.
- Professional fluency in English; experience working across regions and time zones is advantageous.
RevOps Data Team Lead in Southampton employer: OneOcean Group
OneOcean Group is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation and collaboration thrive. With a strong focus on employee growth, we offer comprehensive training and development opportunities tailored to enhance your skills in the maritime SaaS sector. Located in the vibrant coastal cities of Southampton and Portsmouth, our hybrid work model provides the perfect balance of flexibility and community engagement, making it an ideal place for those seeking meaningful and rewarding employment.
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We think you need these skills to ace RevOps Data Team Lead in Southampton
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at OneOcean Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at OneOcean Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
