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SR. ANALYST, PRODUCT ANALYTICSWilder Wealthy & Wise • San Mateo, California, United States
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SR. ANALYST, PRODUCT ANALYTICS

Wilder Wealthy & Wise
  • US
    San Mateo, California, United States
  • US
    San Mateo, California, United States
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À propos

Responsibilities & Qualifications Support planning & rollout of large-scale testing strategies, incl segmentation, global holdouts, & longitudinal studies. Required Master's in Bus. Analytics, or related field or equivalent & 3 yrs of exp developing & deploying machine learning modeling for user segmentation, behavior prediction, & fraud detection using Random Forest, Gradient Boosted Trees (XGBoost), Logistic Regression, K-Means, DBSCAN, Latent Class Analysis, & association rule mining; designing & analyzing experiments across A/B testing, multivariate testing, frequentist frameworks, & Bayesian experimentation; designing multi-dimensional test structures & interpreting results across user segments; mitigating validity threats incl SRM, contamination, & multi-exposure through stratified sampling & CUPED adjustment; performing causal impact measurement & competitor analysis using quasi-experimental methods incl Synthetic Control Models, & time-series techniques incl Difference-in-Differences, Interrupted Time Series, Bayesian Structural Time Series models, Seasonal-Trend Decomposition, & Rolling Regression; building & maintaining dashboards using Tableau/DOMO to integrate ETL processes; troubleshooting technical configs, managing data pipelines, validating metrics, & supporting experimentation scalability; utilizing digital user behavior & monetization analytics, incl online customer journeys, website conversions, payment-related user interactions, retention analysis, churn modeling, & marketing return on investment (ROI); applying data mining & behavioral segmentation techniques to uncover patterns that drive product, marketing, & revenue optimization decisions; & utilizing Python, R, SQL, Adobe Analytics, Customer Journey Analytics, & cloud-based data platforms incl Databricks, Data Ocean, Redshift, AWS S3, MongoDB, data catalog & Postgres to manage & analyze large-scale datasets. Telecommuting &/or working from home may be permissible pursuant to co. policies. EOE.
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  • San Mateo, California, United States

Compétences linguistiques

  • English
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