Senior Analyst, Marketing Analytics

Remote is solving modern organizations’ biggest challenge – navigating global employment compliantly with ease. We make it possible for businesses of all sizes to recruit, pay, and manage international teams. With our core values at heart and future focused work culture, our team works tirelessly on ambitious problems, asynchronously, around the world. You can find Remoters working from 6 different continents (Antarctica left to go!)

and all of our positions are fully remote.

We encourage every member of the Remote team to bring their talents, experiences and culture to the table to help us build the best‑in‑class HR platform.

If you are energetic, curious, motivated and ambitious, be part of our world. Apply now and define the future of work!

This is an exciting time to join Remote and make a personal difference in the global employment space as Senior Data Analyst, Marketing as part of our broader Revenue Operations & Acceleration team.

We are looking for a highly motivated and engaged Senior Data Analyst to be a key partner to the Senior Manager of Planning and Analytics and the Marketing organization. You will be responsible for providing analyses and insights in support of our quarterly and annual paid marketing investment and planning processes
. You should have the ability to lead cross‑functional projects, communicate effectively and efficiently, and be excited to work in a fast‑paced, high‑growth environment. This role is crucial in shaping our marketing strategy by ensuring data integrity, building predictive models, and translating complex analytics into actionable business recommendations.

• Bachelor’s degree in Marketing, Statistics, Business Analytics, Economics, or related field.
• Several years of experience in marketing analytics, preferably in a B2B SaaS or enterprise environment
  .
• Strong understanding of the B2B marketing funnel and key metrics (MQLs, SQLs, pipeline, CAC, LTV, etc.).
• Proven experience developing or applying projected LTV models to guide marketing investment and retention strategies.
• Solid SQL and Excel skills; familiarity with Python or R for data analysis a plus.
• Experience working with CRM and marketing automation platforms (Salesforce, Hub Spot)
• Proven ability to present insights clearly to non‑technical stakeholders.
• Writes and speaks fluent English.
• It’s not required to have experience working remotely, but considered a plus.

• Funnel Analytics: Track and analyze the B2B marketing funnel (lead generation → MQL → SQL → opportunity → revenue) to identify drop‑off points and performance trends at a granular level for paid advertising.
• Attribution Modeling: Develop or refine multi‑touch attribution models to evaluate channel impact across the buyer journey.
• Paid Advertising
  
  Experience:
  
  Good understanding of paid as an acquisition channel and the technical setup behind signal/conversion architecture.
• LTV Modeling: Build and maintain projected lifetime value (LTV) models to forecast the long‑term revenue potential of different customer segments and acquisition channels and send signals back to ad platforms.
• Dashboarding & Reporting: Build and maintain dashboards in tools like Sigma, Clarisights.
• Forecasting & Planning: Support paid marketing budget allocation and pipeline forecasting using historical data and predictive modeling.
• Data Quality & Governance: Partner with Rev Ops to ensure CRM and marketing automation data integrity (e.g., Hub Spot, Salesforce, Marketo, Pardot).
• Stakeholder
  
  Collaboration:
  
  Translate analytics insights into business recommendations for marketing and sales leaders.

• You’ll report to: Senior Manager, Revenue Operations
• Location: For this position we welcome everyone to apply, but we will prioritise applications from the following locations as we encourage our teams to diversify;
  North America and EMEA.
• Start date: As soon as possible.

• Interview with recruiter.
• Interview with future manager.
• Interview with team members (no managers present).

Remote’s Total Rewards philosophy is to ensure fair, unbiased compensation and fair equity pay along with competitive benefits in all…