Senior Analyst, Marketing Analytics

Overview  Join to apply for the  Senior Analyst, Marketing Analytics  role at  Remote .
Remote is solving modern organizations’ biggest challenge – navigating global employment compliantly with ease. We enable businesses of all sizes to recruit, pay, and manage international teams. Our team works asynchronously, around the world, and all positions are fully remote.
About Remote  We encourage every member of the Remote team to bring their talents, experiences and culture 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!
What This Job Can Offer You  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.
Role summary  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 provide analyses and insights to support quarterly and annual paid marketing investment and planning processes. You should be able to lead cross-functional projects, communicate effectively, and thrive in a fast-paced, high-growth environment.

This role shapes our marketing strategy by ensuring data integrity, building predictive models, and translating analytics into actionable recommendations.
Responsibilities   Funnel Analytics:
Track and analyze the B2B marketing funnel (lead generation → MQL → SQL → opportunity → revenue) to identify drop-off points and performance trends for paid advertising.
Attribution Modeling:
Develop or refine multi-touch attribution models to evaluate channel impact across the buyer journey.
Paid Advertising:
Understand paid acquisition channels and the technical setup behind signal/conversion architecture.
LTV Modeling:
Build and maintain projected lifetime value models to forecast revenue potential by customer segments and channels; inform ad signals to platforms.
Dashboarding & Reporting:
Build and maintain dashboards in tools like Sigma, Clarisights.
Forecasting & Planning:
Support 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 into business recommendations for marketing and sales leaders.
Qualifications   Bachelor’s degree in Marketing, Statistics, Business Analytics, Economics, or related field.
3–5 years (for manager) 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 is a plus.

Experience with CRM and marketing automation platforms (Salesforce, Hub Spot).
Proven ability to present insights clearly to non-technical stakeholders.
Fluent English (written and spoken).
Practical details   Report to:
Senior Manager, Revenue Operations
Team:
Sales - Revenue Operations
Team size:
No direct reports

Location:

Open to all, with prioritization for North America and EMEA

Start date:

As soon as possible
Application process   Interview with recruiter
Interview with future manager
Interview with team members (no managers present)
Bar Raiser Interview
Prior employment verification check
Compensation and Benefits  Remote’s Total Rewards philosophy ensures fair compensation and equity pay along with competitive benefits in all locations. Base salary ranges are determined by role, level, location, and market demands. The annual salary range for this full-time position is  $51,100—$172,550 USD .
Benefits include work from anywhere, flexible PTO, flexible hours, 16 weeks paid parental leave, mental health support services, stock options, learning budget, home office budget & IT equipment, and budget…