[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.ResponsibilitiesHire, develop, and manage a team of analysts; set clear goals and foster a culture of rigor, curiosity, and ownershipServe as a technical mentor—conduct code and methodology reviews, pair on complex analyses, and raise the bar on SQL and statistical craft across the teamPartner with product, engineering, and go-to-market leadership to define the analytics roadmap and prioritize high-impact workDesign, run, and interpret A/B and incrementality experiments across paid channels (Meta, Google, TikTok); own the statistical methodology from hypothesis to read-outBuild and maintain click-based and data-driven attribution models that give customers a trustworthy view of channel contributionOwn in-platform reporting across Meta Ads Manager, Google Ads, TikTok Ads Manager, and other platforms; reconcile platform data against first-party signals and surface discrepanciesDefine KPIs and dashboards for customer acquisition, retention, and LTV; translate complex model output into narratives that resonate with both technical and business audiencesWrite and optimize production-quality SQL against large-scale data warehouses for analysis, reporting, and feature evaluationEvaluate the performance of Angler’s predictive models in business terms—lift, incremental ROAS, conversion uplift—and surface findings that guide model iterationCollaborate 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 dataUnderstand Angler’s product end-to-end from the customer perspective, and proactively identify measurement gaps or opportunitiesSkills5+ years of experience in analytics, with at least 2 years managing or leading a team of analystsDeep, hands-on SQL expertise—you write complex queries (CTEs, window functions, query optimization) daily and review others' SQL as a matter of courseProven 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 platformsStrong statistical intuition—comfortable with significance testing, confidence intervals, regression, and communicating uncertainty to non-technical stakeholdersIndustry 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 DNAExperience 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 dayBachelor's degree in a quantitative field (Statistics, Mathematics, Economics, Computer Science, or related). Advanced degree preferredMust be currently authorized to work in the US on a full-time basisExperience building predictive models in Python (scikit-learn, XGBoost, LightGBM)—especially predictive lifetime value (pLTV) or propensity modeling in a marketing contextFamiliarity 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 resolutionProficiency with Python data libraries (pandas, numpy, matplotlib / seaborn) for exploratory analysisExperience 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 CloudFamiliarity with ML frameworks (PyTorch, Keras) and parallel processing at scale (Spark)BenefitsMedical, dental, and vision insuranceUnlimited PTO & sick days401k with 4% employer match0.1% - 0.5% equityCompany OverviewAngler AI helps direct to consumer brands radically improve prospecting and customer lifetime value using the power of AI. It was founded in 2022, and is headquartered in Reseda, California, USA, with a workforce of 2-10 employees. Its website is https://getangler.ai.