RemoteOne
Remote · full-time

Senior Marketing Analyst

Key Responsibilities

  • Investigate, reconcile, and unify messy marketing and subscription data across multiple platforms including Recharge, Shopify, Klaviyo, Source Medium, Snowflake, and paid ad platforms (Meta, Google) for a subscription e-commerce company rebuilding its growth marketing function. Act as a data detective — proactively identify and resolve data quality issues, discrepancies, and conflicting sources to build a reliable single source of truth in Snowflake. Build critical subscription analytics including cohort-level retention curves, LTV models, and channel payback models that connect acquisition costs to long-term revenue, churn, and subscriber lifetime value. Support financial planning by delivering clean, segmented data inputs (e.g., tier-weighted COGS, gift vs paid subscribers, adjusted churn rates) and produce channel-level performance reports for leadership and recurring business reviews. Design and analyze A/B tests for landing pages, email/SMS flows, and ad creatives while validating and improving the existing Snowflake ETL pipeline from Recharge (including historical data backfills). Translate complex, messy data findings into clear, actionable narratives for non-technical stakeholders and continuously improve the data infrastructure for long-term scalability.

Required Qualifications & Experience

  • 5–8 years of progressive experience in marketing analytics, performance marketing, or data & insights roles ideally with at least 2–3 years in a senior/lead capacity (e.g., Marketing Insights Manager, E-commerce Data & Analytics Manager).

  • Proven track record of delivering business impact through analytics, such as percentage-based sales/category growth, efficiency improvements (e.g., 50% time savings via automation), or massive scale metrics (e.g., billions in views).

  • Strong technical proficiency:

    • Advanced SQL and data modeling (DBT strongly preferred).

    • Google Analytics (GA4) & Google Tag Manager expertise.

    • Experience with marketing attribution and performance tools (e.g., Northbeam, Recast, Klaviyo, or similar).

    • Familiarity with cloud data platforms (Snowflake, Redshift, BigQuery, Azure Data Lake).

  • Experience working in dynamic, growth-focused environments (DTC/e-commerce, consumer tech, social/media platforms, or marketplaces).

  • Bachelor's degree in Marketing, Business Analytics, Statistics, Economics, Data Science, or a quantitative field (Master's a plus).