**Must have advanced SQL experience (There is a take-home assessment)

Key Job Responsibilities

• Illustrate key business trends and drivers through effective problem framing, data analysis, interpretation, and visualization.
• Create well-designed management scorecards and dashboards that ensure accurate and robust reporting across key business/project/initiative metrics.
• Deliver impactful analysis based on robust economic, financial, and statistical analysis.
• Estimate the impact of different scenarios using robust analytical/financial models.
• Develop and validate methods to optimize the Who, When, Where, and How of all our interactions with customers, demonstrating a good command of data science techniques that can be drawn upon in that context.
• Develop an in-depth knowledge of all relevant data sources, business intelligence technologies, and analytical tools – know how to leverage all of our assets to answer senior executive questions fast.
• Develop compelling presentations and documents - and communicate them with impact and intuition.
• Proactively communicate factors affecting deliverables to senior management.
• Explain assumptions and quantitative methodologies to colleagues in their and other teams.

Requirements

• Self-motivated with the capacity to work under tight deadlines.
• Passion for the accuracy, relevance, quality, and impact of deliverables. High attention to detail.
• Good written and oral communication/presentation skills.
• Ability to reconcile information from and for multiple stakeholders, and to manage communication across different audiences (technical vs. business, junior vs. senior).
• Intellectual curiosity for what drives the business.
• Aptitude and drive to learn new tools quickly required.

Basic Qualifications

• 3 years of relevant experience in the areas of Strategic Analytics, Business Intelligence, Data Science, or Consulting in a digital environment or in a related field.
• Quantitative degree (Sciences, Operations Research (OR), Economics, Mathematics, Engineering, or similar field) or equivalent experience in a data-driven/analytical role.
• Background in content/media, marketing tech, subscription business, and/or internet industries preferred - an understanding of e-commerce analytics, marketing analytics, experimentation, membership/loyalty analytics, and revenue management techniques a plus.
• Knowledge of data/analytical tools – Strong experience with SQL; experience using data visualization tools like Tableau or MicroStrategy; knowledge of statistics and modeling; experience with Python, R, Jupyter, other analytics/data science tools.