Challenges
Build the data infrastructure and frameworks that will be used to find correlations across Marketing and Sales that will form testable hypotheses and upon which experiments will be judged.
Conduct data engineering and analysis, and while partnering with our data analyst, arrive at conclusions and make actionable business recommendations based on your research and investigations. You’ll need to work smart, fast, and cross-functionally.
Responsibilities
Partner with our San Francisco-based data analyst to test, build, automate, and maintain datasets for our Marketing and Sales teams that will be used to measure the success of new campaigns and product features
Turn business questions into testable hypotheses and hypotheses into scalable and definitive experiments (ie: what does it take to convert a free user to paying?). These experiments will inform the highest-level business decisions at Prezi.
Triage problems with our campaigns and products by investigating user engagement logs and datasets
Requirements
3-5 years of experience working with Big Data (Internet, banking, telecommunication, or cloud SaaS)
Experience in data transformation: SQL, Pig, Python, and Shell scripting
Experience in basic statistical methodology: eg. clustering and testing, predictive modelling (eg. decision trees, regressions)
Know at least one statistical software in depth: R, Rapidminer, SPSS, SAS, MATLAB etc.
We work with:
Pig, Bash, Python, SQL, R
Hadoop system
Amazon Web Services: EC2, EMR, Redshift
Why work at Prezi?
Continuing opportunities to learn new technologies
Be empowered to affect Prezi’s business strategy
Immediate impact - your work will be seen by more than 50 million users as soon as you deploy
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Office in downtown San Francisco
International work environment and opportunities to travel internationally
Creative, fast-paced, flexible, fun, and challenging environment
Competitive compensation and benefit package including equity
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