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Senior Marketing Analytics Analyst

Senior Marketing Analytics Analyst

DeepstreamtechMexico
Hace 4 días
Tipo de contrato
  • Teletrabajo
Descripción del trabajo

Requirements

  • 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, HubSpot)
  • 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

What the job involves

  • 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
  • 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 RevOps to ensure CRM and marketing automation data integrity (e.g., HubSpot, Salesforce, Marketo, Pardot)
  • Stakeholder Collaboration : Translate analytics insights into business recommendations for marketing and sales leaders

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