Remote is solving modern organizations’ biggest challenge – navigating global employment compliantly with ease. They are looking for a Senior Data Analyst, Marketing to provide analyses and insights in support of their quarterly and annual paid marketing investment and planning processes, crucial in shaping marketing strategy by ensuring data integrity, building predictive models, and translating complex analytics into actionable business recommendations.
Requirements
- Solid SQL and Excel skills; familiarity with Python or R for data analysis a plus.
- Experience working with CRM and marketing automation platforms (Salesforce, HubSpot)
- 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.
- Good understanding of paid as an acquisition channel and the technical setup behind signal/conversion architecture
Responsibilities
- 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.
- Develop or refine multi-touch attribution models to evaluate channel impact across the buyer journey.
- 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
- Build and maintain dashboards in tools like Sigma, Clarisights
- Support paid marketing budget allocation and pipeline forecasting using historical data and predictive modeling.
- Partner with RevOps to ensure CRM and marketing automation data integrity (e.g., HubSpot, Salesforce, Marketo, Pardot).
- Translate analytics insights into business recommendations for marketing and sales leaders.
Other
- 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.
- 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
