Data Analyst, Salesforce

What you'll be doing: 

• Product and monetization strategies: develop and test various bidding and monetization models, and simulate the impact that changes can have on revenue.
• Indicators: Provides a set of key performance indicators (KPIs) used to report on product adoption, use, performance, and departure. Provides visibility to help you understand whether the group's monetization efforts are working.
• Prediction: Design, maintain, and manage inventory and revenue forecasting models as important components of the revenue optimization process. Analyze sales patterns to identify trends and support financial forecasts.
• A/B testing: Design, perform, analyze and identify A/B testing to inform and prioritize product iteration. Do this with statistical rigor and conduct a cohort study to answer the question "Why?" about the drivers of the test results.
• Brief Story Delivery – At the completion of the test, it delivers a business "story" hidden in data and test results by organizing timely, compelling, and fact-based tests.

Basic qualifications: 

• The ideal candidate is an analyst who conducts ad data analysis, business analysis, financial analysis, market research, and management reporting, with more than 3 years of experience.
• Great SQL Utilization Capabilities
• Excellent quantitative analytical skills
• Excellent presentation and communication skills
• Well organized, detail-oriented thinking
• Ability to manage multiple projects simultaneously for multiple stakeholders in a fast-moving organization
• A bachelor's degree holder 

Preferred qualifications: 

• Experience in e-Commerce, Retails or related domains
• Python or R utilization capabilities for statistical analysis
• Hive, Presto, Airflow experience
• A master's degree holder in technology
• Visualization Skills (e.g. Tableau, PowerBI, Qlik, Looker)
• Machine Learning Experience