Data Analyst

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