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, and demonstrate 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 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 deliverable. 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 ecommerce 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