
Data Scientist, Business Operations
Provide insights to help business and product leaders understand marketplace dynamics, user behaviors, and long-term trends. Collect, process, and clean data from disparate sources using SQL, R, Python, or other scripting and statistical tools to identify trends and opportunities. Identify and quantify levers to help move key metrics through large data-sets. Conduct deep-dives to build & execute improvement strategies with our Strategy & Ops teams. Drive company initiatives by identifying key metrics and building executive-facing dashboards to track progress. Present in key meetings and business reviews with our executive team and founders. Participate in design, execution, and analysis of experiments; driving rigor and testing culture through our operations teams.
4+ years of post-graduation experience with a mix of data analytics and management consulting/client-facing professional services
Combination of SQL expertise and strong business acumen
Obsessive about building KPIs and tracking outputs daily
Experience with marketplaces, logistics, or economics a plus
Sql
Python
Tableau
ETL
R
Relationship Management
Effective Time Management
Chartio
Data analytics/visualization
Process Improvement
Driven and self-motivated
Prioritizing skills
Flexibility/Adaptability
Attention to detail and accuracy
Verbal and Written Communication
Multi tasker
According to JobzMall, the average salary range for a Data Scientist, Business Operations in 303 2nd St, San Francisco, CA 94107, USA is $83,000 - $138,000.
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