Director of Analytics

Director of Analytics

Los Angeles, CA or Remote

Angler AI is an AI-powered Predictive Marketing Platform for the cookieless world. Apple’s privacy changes since 2020 have left consumer brands without a reliable data loop for their Meta, Google, and Tik Tok spend. Ad platform auction algorithms need conversion events with rich context in order to hone in on brands’ ideal customers. Our Predictive Conversion API is a revolutionary replacement for browser pixels and Conversion APIs that enriches raw data with a complete profile of each visitor action, including identity and predicted outcomes, to boost ad auction performance.

Angler is looking for a Director of Analytics to lead our data and measurement practice across marketing science, customer success, and product. This is a player‑coach role: you’ll be deeply hands‑on in SQL and marketing analytics while simultaneously building and mentoring a team of analysts.

You’ll own the measurement framework for our predictive models and customer‑facing features—designing and interpreting A/B experiments, synthesizing in‑platform reporting from Meta, Google, and Tik Tok into clear, actionable insights, and building click‑based cross‑channel attribution models. You’ll partner closely with engineering, data science, and go‑to‑market teams to define what success looks like and make sure our customers see it too.

The ideal candidate has spent meaningful time as a marketing analyst in industries with rich behavioral data and strong performance‑marketing culture—omni‑channel retail, subscription (media, entertainment, streaming), or mobile games. You know what good attribution looks like, you’ve run incrementality tests, and you’ve gone toe‑to‑toe with in‑platform reporting to find the truth. You’re ready to step into a leadership seat without stepping away from the craft.

• 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, Tik Tok); 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, Tik Tok 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.

• 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 Tik Tok ad platforms.
• Strong statistical intuition—comfortable with significance testing, confidence intervals, regression, and…