Revenue Operations Lead (Remote)

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Forbes Advisor is hiring! We are seeking a Revenue Operations Lead to join our busy revenue operations team. Our team is spread across the globe with members in USA, UK, and India – and is part of the wider data department of data engineers, BI analysts, and insights analysts. Each team member specializes in a business vertical including financial services, insurance, health, and others.

We are looking for candidates with a strong background working with revenue data, a passion for data-driven decision-making, and the ability to translate complex data into actionable commercial insights for our business development team.

You will become the revenue expert for your vertical. Primarily focused on supporting the business development team, you will liaise very closely with colleagues from the data engineering, BI, and SEM teams. You will be responsible for overseeing onboarding of all new partner relationships and ensuring ingestion of data is timely, accurate, and sustainable. You will also be responsible for monitoring critical KPIs for your vertical and supporting any necessary investigations as issues arise. Most importantly, you will provide the vertical business users with revenue analysis and recommendations for optimisation.

• Provide expertise to any colleague with questions about revenue performance or ingestions, including the support of bugs and incidents.
• Agree revenue prioritisation with the vertical general manager.
• Manage new partner onboarding internally and hold calls with partners to gather technical requirements for revenue data ingestions via the most secure method available.
• Translate technical requirements for business users (and vice versa).
• Validate data ingestions before data is released into reporting for business stakeholder consumption, and review data as part of month-end processes to ensure completeness and accuracy.
• Set up critical tracking parameters in collaboration with the onsite monetisation team.
• Monitor revenue performance and raise any issues with the correct technical teams.
• Produce analyses to understand partner and advertiser revenue performance to identify optimisation opportunities as well as vertical health KPIs including TID coverage, ingestion rates, and onboarding status.
• Help benchmark partners and provide support to business development teams when assessing potential new partners.
• Support marketing team with campaigns that can be heavily impacted by specific revenue partners.

You are passionate about using data to drive revenue. You have very strong analytical, problem-solving, and communication skills. You’re comfortable meeting with internal and external stakeholders as a representative of your team or your company. You like working with technical and non-technical stakeholders to get measurable improvements in performance. Ideally, you have experience working in the affiliate industry, either as a publisher or advertiser and have used affiliate platforms, e.g. Commission Junction, Rakuten, etc. It is an advantage if you have experience setting up programs and tracking performance in these platforms. You are comfortable driving change forwards and taking responsibility for meeting deadlines. Ideally, you can interrogate datasets with SQL, and you’ve got some experience presenting data stories back to business stakeholders using visualisation tools. You are familiar with SFTP and API as data ingestion methods.

These short-term objectives will be set for the first 3 months working at Forbes Marketplace and are designed to set you up for success in the longer-term:

• Demonstrate understanding of the revenue data pipeline from ingestion to reporting to stakeholder decision-making.
• Establish a good working relationship with data engineering and BIOPs team peers, and with key business stakeholders from the business development team.
• Achieve an onboarding completion-within-90-days rate of at least 80%.

There will be a 2-stage interview process. The first stage will be with the Head of Revenue Operations and involve a spreadsheet exercise (covering basic formulae, lookups, and pivot tables) to demonstrate your key data skills. The second stage will be an opportunity to meet with a business stakeholder and the VP Data & Analytics.

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Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Marketing

Industries: Consumer Services