• Analyze passive acoustic monitoring datasets collected from stationary recorders, towed hydrophone arrays, drifting recorders, autonomous gliders, and other acoustic platforms. • Develop, test, validate, and refine automated cetacean detection, classification, and localization approaches. • Conduct quantitative analyses of cetacean occurrence, abundance, seasonality, habitat use, and acoustic behavior. • Characterize cetacean call types and evaluate relationships between acoustic detections and environmental or anthropogenic factors. • Perform statistical analyses supporting marine mammal stock assessments and ecological research. • Analyze underwater soundscape datasets and compute ambient noise metrics across multiple temporal scales. • Evaluate long-term acoustic trends and assess natural and anthropogenic sound sources within monitored ecosystems. • Validate automated classifiers through manual review and annotation of acoustic datasets. • Support acoustic analyses associated with autonomous Seaglider deployments and other emerging monitoring technologies. • Contribute to acoustic propagation modeling and evaluation of species-specific detection performance. • Maintain reproducible analytical workflows using MATLAB, Python, R, GitHub, and NOAA Fisheries data management standards. • Document analytical methods, maintain analysis logs, and support preparation of reports, manuscripts, conference presentations, and technical summaries. • Collaborate with NOAA scientists, project partners, and working groups to advance passive acoustic monitoring methodologies and research objectives.

• Аналіз воронки залучення користувачів та пошук точок зростання для нових каналів і аудиторій. • Оптимізація рутинних і мануальних задач: побудова тулів і темплейтів для самостійної роботи продакт-менеджерів із даними. • Підтримка прийняття рішень при запуску нових тематик і розширенні аудиторії продукту. • Пошуку інсайтів, які допоможуть скейлитись продукту для глобальної аудиторії з транзакційною моделлю монетизації. • Аналізі поведінки користувачів у воронці та виявленні можливостей для зростання. • Побудові звітності не для галочки, а для допомоги в прийнятті стратегічних рішень стейкхолдерами. • Автоматизації процесів для зменшення рутинної роботи команди та пришвидшення реагування на зміни.

• Manage and evolve Airalo’s growth MMM portfolio - driving the existing market model from validation into a production-grade decision tool, and scaling to additional markets as growth ambition and data readiness allow. • Design and execute incrementality experiments (geo-holdouts, conversion lift studies, synthetic control, difference-in-differences) that calibrate the MMM and establish true causal impact of marketing spend across channels. • Evolve our attribution methodology: determine the right models and attribution windows for our purchase cycle, specify the data requirements, and measure the impact of tracking remediation on attribution accuracy. • Calculate and continuously optimize the CAC metrics (platform-reported, internally-attributed, incremental, and blended) and own LTV:CAC as a strategic KPI reported to leadership. • Build measurement literacy within the Growth and Acquisition teams: train stakeholders to interpret the LTV/CAC related metrics, understand the difference between attributed and incremental performance, and use self-service reporting with confidence. • Build and maintain the performance marketing reporting framework - with Analytics Engineering to ensure the underlying models serve both reporting and measurement needs. • Act as analytics partner to the Growth and Acquisition teams: translate business questions into measurement plans, deliver the analytics that inform spend decisions, and build self-service reporting that reduces ad-hoc dependency. • Drive adoption of measurement outputs-ensure MMM scenarios, incrementality results, and attribution insights translate into concrete budget allocation changes. • Contribute to the development of a unified decision framework that integrates signal health, attribution, and incrementality into budget allocation guidance with clear go/no-go criteria for scaling spend by market and channel. • Build institutional knowledge: document every experiment result, every MMM refresh, and every signal quality trend so that each quarter’s decisions are better informed than the last. • Collaborate with the Senior CDP Engineer and MarTech on the data and signal infrastructure that underpins measurement - defining what you need, so they can build it right.

• Desarrollo, mantenimiento y evolución de dashboards e informes en Power BI. • Modelado de datos para entornos de gran volumen. • Creación y optimización de medidas y cálculos utilizando DAX. • Transformación y preparación de datos mediante Power Query (lenguaje M). • Análisis de datos orientado a la toma de decisiones estratégicas del negocio. • Colaboración con equipos técnicos y de negocio para traducir necesidades en soluciones analíticas eficientes. • Asegurar rendimiento, calidad y escalabilidad de los modelos y reportes. • Documentación de modelos, procesos y buenas prácticas.