Data Analyst
Mountain View CA(Hybrid Onsite)
Phone + Skype
12 Months
Jd
Top skills: SQL, Problem solving using Data Analysis, Communication
Your Skillset Likely Includes
4-6 years' experience in a large IT organization with responsibility and demonstrated success for developing Data and Analytics products or services
BS degree, preferably in Computer Science, Information Systems or a related discipline or equivalent combination of education and experience
Visualization tools such as Power BI ,Tableau and Microstrategy
Good knowledge of metadata, and using/managing metadata
Excellent communication skills and can confidently communicate to all levels of the business from operational to executive
Experience working with cross functional teams to develop products and services. Ability to build interdepartmental relationships
Desire to make a difference, engage customers, shape a strategy and build the right solution
Exceptional critical reasoning, creative thinking and problem-solving skills. Ability to lay out edge cases, identify dependencies and lay out the if/then in any scenario
Familiarity with the identification and resolution of issues working with disparate sources of data and data quality issues
Ability to dig into the fine details of projects but also articulate product strategy and vision
Experience working with web, mobile logs and transaction systems
Experience with data analysis, experimentation and measurement tools like Google Analytics, Adobe analytics or homebuilt systems
Working experience building integrations between different products
Ability to research and contribute (from a PM perspective) on API development
Working SQL and database design knowledge
Self-starter requires minimal supervision
Strong project management skills
Key Responsibilites/Requirements
Day-to-day, you will:
Track and identify underlying drivers of KPI targets & metrics, synthesize findings and communicate insights
Manage digital product performance to identify new product levers and opportunities for improvement of our existing product toolkit
Ad hoc analyses and tasks to support personalization initiatives and product launches
Collaborate with Category/Product Manager(s) in making product and business decisions based on data insights and A/B testing experiment results
Manage A/B Testing monitoring and analyses and execute strategy
Analyze the impact of proposed and actual product changes Assist PM's in delivering product enhancements as defined by the Product Manager's Roadmap
Develop, manage and maintain backend product data pipelines
Bachelor's degree