Analytics Manager

As an Analytics Manager, Analytics, you will...

• Conduct ad-hoc analysis through database querying, followed by insightful interpretation of results and the formulation and communication of recommendations that drive action
• Design, implement, and analyze A/B tests and other experiments to evaluate and inform business strategies and product features
• Work as a business partner with marketing and product teams in order to tackle business challenges, and track marketing and product performance with a data driven approach. The ability to scope a problem, formulate relevant questions, draw relevant data and provide insights from the data is critical for the role
• Leverage SQL, MicroStrategy, Tableau, Excel and other reporting tools to create and maintain scheduled and Adhoc reports
• Analyze data to identify business problems and lead deep dives to perform root cause analysis
• Maintain a deep understanding of business drivers and an innate grasp of business metric definitions, and pro-actively interact with business leaders to give context and support them in interpreting reporting data
• Identify opportunities for optimization and improvement in business processes and strategies through data analysis
• Develop compelling presentations and documents - and communicate them with impact

Basic qualifications

• Experience in the areas of Business Intelligence, Analytics or Consulting in an e-commerce environment or related field
• Experience with SQL including ability to independently extract data from databases
• Experience with one or more industry analytics and metrics visualization tools (e.g. Tableau/QuickSight/PowerBI) and proven experience in Excel

Preferred qualifications

• Degree in data science, business, economics, information technology, statistics, mathematics or other related field
• Comfortable in data-centric environments
• You enjoy working in a team of highly engaged individuals
• Passion for numbers, data and metrics, but also for delivering actionable analysis of highest quality
• Strong bias for action, highly organized and ability to complete tasks and projects with little guidance and tight deadlines
• Excellent communication (verbal and written), interpersonal skills, and an ability to effectively communicate with both business leadership and technical teams
• Experience with membership, subscription based or media content businesses
• Experience with and / or interest to learn more on cutting edge data science approaches
• Programming languages: strong knowledge of Python. Knowledge of other programming languages, like Java or C#, or of statistical software's like R or SAS
• Knowledge of Adobe Analytics