Reporting to VP, Analytics & Data Science, the Senior Data Scientist, Product Analytics will provide critical insights to business partners and strategic support to the executive team. You’ll have a significant impact on our product strategy with your high quality data/analyses, advanced analytics skills and attention to detail. You’ll be the go to person for product performance, insights & strategy. The ideal candidate is highly motivated and has a track record of using their technical skills and business acumen to quickly make an impact!
ABOUT THIS TEAM
Analytics team is responsible for generating actionable insights & analyses for the business, AB testing, data driven decision making and supporting Product, Marketing & Finance teams to create significant impact for our users & business. We also work very closely with Business Intelligence, Data Engineering & Software Engineering teams to advance our data infrastructure. We have a cutting edge AB Testing program, automations and advanced data tools to deliver high quality analyses very efficiently.
WHAT YOU’LL DO
- Conduct in-depth analysis to uncover opportunities for improving our products.
- Build advanced models & analytics tools to boost our product insights/recommendations.
- Proactively come up with data driven insights/recommendations and communicate them clearly to the business stakeholders.
- Analyze A/B tests to drive user conversion & engagement.
- Develop dashboards to inform business decisions with an emphasis on automation and scalability.
- Collaborate with Engineering to advance data infrastructure and governance.
WHAT YOU’LL NEED
- 7+ years’ experience performing quantitative data analysis, preferably for an internet or technology company.
- Ability to write complex SQL queries to drive critical business decisions.
- Robust understanding of Statistics with ability to explain statistical concepts to non-technical audiences.
- Bachelors or Masters’ degree in Math, Engineering, Statistics or other quantitative field, with a track record of academic excellence.
- Proven track record of handling multiple projects, meeting deadlines in a fast-paced environment and making a meaningful business impact.
- Excellent communication skills.
- Proficiency with Python/R.
- Proficiency with BI tools such as Tableau, Looker, or equivalent.
- Experience with Google Analytics, MixPanel or other front-end analytical platforms.
WHAT’S GOOD TO HAVE
- Experience with building machine learning/predictive models.