Senior Manager, Analytics

Responsibilities:

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  • Conduct ad-hoc analysis through database querying, followed by insightful interpretation of results and the formulation and communication of recommendations that drive action.
  • Own specific analyses end-to-end: requirements collection, project planning, execution and follow up.
  • Work as a business partner with marketing, finance and content teams in order to tackle business challenges, and track marketing and product performance with a data driven approach. 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.
  • Partner with stakeholders to leverage data (internal data from Client, as well as external data from market research and marketing agencies) and address complex business challenges by delivering actionable insights.
  • Conceptualize and run analysis that generate insights on customer behaviour and customer needs to help further develop and improve our value proposition.

Basic qualifications

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  • Bachelor's degree in Business Intelligence, Data Science, Computer Science, Mathematics, Statistics, Engineering or similar, speak of a person comfortable in data-centric environments.
  • 2+ years of experience in the areas of Business Intelligence, Analytics or Consulting in an e-commerce environment or related field.
  • Advanced SQL skills that allow you to comfortably and independently extract data from our database.
  • Advanced experience with one or more industry analytics and metrics visualization tools (e.g. Tableau/QuickSight/PowerBI).
  • Knowledge of A/B testing, statistics and modeling.
  • Expert in Excel with a proven track record.
  • 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.

Preferred qualifications

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  • 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 is a plus.
  • Experience in AWS environment
  • Knowledge of Adobe Analytics a plus