[Remote] Director of Analytics

Note: The job is a remote job and is open to candidates in USA. Angler AI is a company that introduces the world’s first Predictive Conversion API, designed to optimize performance in a privacy-first digital landscape. They are seeking a Director of Analytics to lead their data and measurement practice, focusing on marketing science, customer success, and product while also mentoring a team of analysts.

Responsibilities

• Hire, develop, and manage a team of analysts; set clear goals and foster a culture of rigor, curiosity, and ownership
• Serve as a technical mentor—conduct code and methodology reviews, pair on complex analyses, and raise the bar on SQL and statistical craft across the team
• Partner with product, engineering, and go-to-market leadership to define the analytics roadmap and prioritize high-impact work
• Design, run, and interpret A/B and incrementality experiments across paid channels (Meta, Google, TikTok); own the statistical methodology from hypothesis to read-out
• Build and maintain click-based and data-driven attribution models that give customers a trustworthy view of channel contribution
• Own in-platform reporting across Meta Ads Manager, Google Ads, TikTok Ads Manager, and other platforms; reconcile platform data against first-party signals and surface discrepancies
• Define KPIs and dashboards for customer acquisition, retention, and LTV; translate complex model output into narratives that resonate with both technical and business audiences
• Write and optimize production-quality SQL against large-scale data warehouses for analysis, reporting, and feature evaluation
• Evaluate the performance of Angler’s predictive models in business terms—lift, incremental ROAS, conversion uplift—and surface findings that guide model iteration
• Collaborate with engineering to embed self-service measurement dashboards into the product as well as specify the necessary pipeline stages, data quality checks, and schema design to ensure analytics-ready data
• Understand Angler’s product end-to-end from the customer perspective, and proactively identify measurement gaps or opportunities

Skills

• 5+ years of experience in analytics, with at least 2 years managing or leading a team of analysts
• Deep, hands-on SQL expertise—you write complex queries (CTEs, window functions, query optimization) daily and review others' SQL as a matter of course
• Proven marketing analytics background: you've designed and analyzed A/B / incrementality experiments, built or evaluated attribution models, and worked directly inside Meta, Google, and/or TikTok ad platforms
• Strong statistical intuition—comfortable with significance testing, confidence intervals, regression, and communicating uncertainty to non-technical stakeholders
• Industry experience in at least one of: omni-channel retail, subscription (media, entertainment, or streaming), or mobile games—verticals with high-volume behavioral data and performance-marketing DNA
• Experience with modern cloud data stacks (GCP/BigQuery, AWS/Redshift, Snowflake) and BI tools (Looker, Tableau, Amazon QuickSight, or similar)
• Excellent communication skills—able to write a clear analysis memo, present to a CMO, and explain a p-value to a marketer, all in the same day
• Bachelor's degree in a quantitative field (Statistics, Mathematics, Economics, Computer Science, or related). Advanced degree preferred
• Must be currently authorized to work in the US on a full-time basis
• Experience building predictive models in Python (scikit-learn, XGBoost, LightGBM)—especially predictive lifetime value (pLTV) or propensity modeling in a marketing context
• Familiarity with Marketing Mix Modeling (MMM) or causal inference methods (geo-experiments, difference-in-differences)
• Experience with user-event-level site or app data and identity resolution
• Proficiency with Python data libraries (pandas, numpy, matplotlib / seaborn) for exploratory analysis
• Experience with Conversion APIs, browser pixels, or server-side event data (Meta CAPI, Google Enhanced Conversions, TikTok Events API)
• Experience with ecommerce platforms such as Shopify, Magento, or Salesforce Commerce Cloud
• Familiarity with ML frameworks (PyTorch, Keras) and parallel processing at scale (Spark)

Benefits

• Medical, dental, and vision insurance
• Unlimited PTO & sick days
• 401k with 4% employer match
• 0.1% - 0.5% equity

Company Overview