Job description Our client, a spoken word media giant, is looking for a qualified candidate with management experience to join their analytics and data science group. In this role the ideal candidate will be responsible for surfacing data-driven opportunities for the business functions (Content, Marketing, Product, and/or New Growth/International). You will provide tactical, operational, economic, and financial analysis to frame and drive decisions, develop KPIs and scorecards to track initiative progress/performance and scientific models to drive a focus on results and execution. This role is fully remote Pay- $88.00 per hour. Contract- 8 months. Monday-Friday 9:00am-5:00pm Who you are: You are a “doer”, someone that can code at an excellent level, and like to take ownership of data products or prototypes (being involved in conception, to design, to specification, to code, to test, to measurement, to presentation). You will partner with engineering and data science to marketing and product management – and develop the knowledge and skill to be a trusted technical advisor across a wide range of business areas. The successful individual will be able to work with minimal instruction and oversight, conduct multiple tasks and projects simultaneously, maintain relationships with senior leaders, and own deliverables end to end. Critical to the success of this role is your ability to think intentionally, develop insightful analysis, communicate findings concisely to leadership, work effectively as part of a cross functional team, and analyze big data. 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 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 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 accuracy, relevance, quality, and impact of delivery. 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 Preferred qualifications MS degree (Sciences, Operations Research (OR), Economics, Mathematics, Engineering, or similar field) or equivalent experience in a data driven/analytical role Proficiency in Python, R or other analytics/data science tools