Collaborate with product and business teams to define analytical questions, success metrics, and KPIs.
Build and maintain analytics foundation using SQL and dbt, enabling reliable reporting and self-serve analytics.
Design, build, and maintain Tableau dashboards that bring metrics to life and support day-to-day decision-making.
Perform A/B testing and experimentation, including experiment design, statistical inference, significance testing, and result interpretation.
Perform ad-hoc, exploratory, and statistical analyses to uncover insights and validate hypotheses.
Communicate findings clearly to both technical and non-technical stakeholders, translating data into actionable recommendations.
Partner with stakeholders to iterate on metrics, dashboards, and analyses as business needs evolve.

Nice to Have

Experience building or prototyping machine learning models.
Exposure to cloud platforms (AWS) for data storage or analytics workloads.
Experience working with data pipelines or collaborating closely with data engineering teams.
Knowledge of feature engineering and model evaluation concepts.
Experience with version control (Git).

Data Scientist

Key skills