Key responsibilities
1) Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making support for key projects
2) Work with various functional teams and own data-driven experimentation to improve visibility on efficiency and performance metricsExperience,
Skills & Abilities
1) Strong hands-on experience with R and SQL is mandatory. Knowledge of tableau and python would be preferred.
2) 1+ years of relevant experience. Prior experience in start-ups if preferred. A hustler who is able to aggressively follow up, handle pressure and work rapidly evolving environments
3) Bachelors degree in Math, Statistics, Comp Science, Engineering, or any other technical field
4) Comfortable manipulating, transforming, and analyzing complex, high-volume, high-dimensionality data from varying sources (databases and functional teams).
5) Experience in reporting and dashboards involving very large datasets and multiple data sources, with the ability to interpret data and produce meaningful insights.
6) Good understanding of statistical analysis, data warehousing, data modeling.
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