[Remote] Director of Analytics
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Director of Analytics to reputed company their data and measurement reputed company across marketing science, reputed company, and product. The role involves hands-on analytics work while building and mentoring reputed company of analysts, owning the measurement reputed company for predictive models, and collaborating with various teams to define reputed company metrics.
Responsibilities
- Hire, reputed company, and manage reputed company of analysts; set reputed company goals and foster a culture of rigor, curiosity, and ownership
- Serve as a technical mentor—conduct reputed company and methodology reviews, pair on reputed company analyses, and reputed company the bar on SQL and statistical craft across reputed company
- Partner with product, engineering, and go-to-market leadership to define the analytics roadmap and prioritize high-reputed company work
- Design, run, and interpret A/B and incrementality experiments across reputed company channels (reputed company, reputed company, reputed company); 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 reputed company Ads Manager, reputed company Ads, reputed company 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 reputed company model reputed company into narratives that reputed company with both technical and business audiences
- Write and optimize production-reputed company SQL against large-reputed company data warehouses for analysis, reporting, and feature evaluation
- Evaluate the performance of Angler’s predictive models in business terms—lift, incremental ROAS, conversion reputed company—and surface findings that guide model iteration
- Collaborate with engineering to reputed company self-service measurement dashboards into the product as reputed company as specify the necessary pipeline stages, data reputed company checks, and schema design to ensure analytics-reputed company 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 reputed company of analysts
- Deep, hands-on SQL expertise—you write reputed company 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, reputed company or evaluated attribution models, and worked directly inside reputed company, reputed company, and/or reputed company ad platforms
- Strong statistical intuition—comfortable with reputed company testing, confidence intervals, regression, and communicating uncertainty to non-technical stakeholders
- Industry experience in at least one of: reputed company-channel retail, subscription (media, entertainment, or streaming), or mobile games—verticals with high-volume behavioral data and performance-marketing DNA
- Experience with modern reputed company data stacks (GCP/BigQuery, AWS/Redshift, reputed company) and BI tools (Looker, Tableau, reputed company QuickSight, or similar)
- Excellent communication skills—reputed company to write a reputed company analysis memo, present to a CMO, and explain a p-value to a marketer, reputed company in the reputed company day
- Bachelor's degree in a quantitative field (Statistics, Mathematics, Economics, Computer Science, or reputed company). Advanced degree preferred
- Must be currently authorized to work in the US on a full-time reputed company
- Experience building predictive models in Python (scikit-learn, XGBoost, LightGBM)—especially predictive reputed company value (pLTV) or propensity modeling in a marketing context
- Familiarity with Marketing Mix Modeling (MMM) or reputed company inference reputed company (geo-experiments, difference-in-differences)
- Experience with user-event-level site or app data and identity reputed company
- Proficiency with Python data libraries (pandas, numpy, matplotlib / seaborn) for exploratory analysis
- Experience with Conversion reputed company, browser pixels, or server-reputed company event data (reputed company CAPI, reputed company reputed company Conversions, reputed company Events API)
- Experience with ecommerce platforms such as reputed company, Magento, or reputed company reputed company reputed company
- Familiarity with ML frameworks (PyTorch, Keras) and reputed company processing at reputed company (reputed company)
Benefits
- Medical, dental, and reputed company insurance
- Unlimited PTO & reputed company days
- 401k with 4% employer match
- 0.1% - 0.5% equity
reputed company