Required Data Analyst.
Work with the product managers and other team members to identify opportunities to improve and enhance the product.
Provide recommendations on what should be instrumented.
Propose, design, and monitor A/B tests. Analyze the results and make recommendations.
Design, send, and analyze user surveys where necessary.
Run path analysis and other web analytics.
Work with the BI team to develop the relevant metrics, reports, and dashboards.
Run ad-hoc analyses and develop forecasts and other predictive models to support the teams decisions makers.
Two to four years functional experience required, preferably in industry and/or consulting. We are after individuals who are highly motivated, intelligent, and have a great track record. In addition to strong analytical and quantitative skills, the successful candidate should have:
An analytical mindset, able to break down large problems, develop approaches and solutions, even under constraints of partial or ambiguous information, think laterally, and provide robust, objective and data-justified conclusions.
Strong, technical skills in data extraction, munging, analysis, statistics, and visualization (e.g. SQL, Python, and R). You can tell a compelling story with data.
BA / BS in a quantitative discipline (such as science, computer science, economics, operations research or statistics) with high GPA
Good understanding of LTV, NPV/DCF and ROI concepts.
Experience in business modeling and forecasting.
Excellent interpersonal and communication skills, both written and verbal.
Ability to work well in a lean team environment, often under pressure.
Flexibility with working on changing work schedules and ability to work independently and solve problems on your own.
Strong work ethic, intellectual curiosity, good judgment, mature and positive attitude.
Be extremely curious.
Love what you do!
Nice to have -
Experience in e-commerce.
Prior experience with web analytics: metrics, tools, and analyses. Mixpanel or Google Analytics would be ideal.
Working knowledge (at least) in inferential or Bayesian statistics.
המשרה מיועדת לנשים וגברים כאחד.