Director of Analytics

Director of Analytics

Los Angeles, CA or Remote

About Angler AI

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 TikTok 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.

About the Role

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 TikTok 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.

Responsibilities

Team Leadership

• 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.

Marketing Analytics & Measurement

• 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.

Data & Product Analytics

• 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 & Qualifications

• 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.

Nice to Have

• 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

Compensation

Salary range: $160,000 – $220,000, commensurate with experience and scope

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