Duties & Responsibilities
â¢ Lead, manage, and evangalize the Corporate Dashboarding effort that is our vehicle for the promotion data and analytics throughout the company's businesses
â¢ Assess the current state of data-based decision support systems used throughout the company and identify hypotheses around specific areas ripe for improvement through superior data analytics. This would be done on an iterative basis.
â¢ Design pilots and trials within a subset of station operations to test the hypothesis
â¢ Project manage activated trials/pilots: implement improved decision support systems, measure and refine them, monitor results and document/value outcomes
â¢ Tee up successfully completed pilot programs for enterprise-wide roll-out; Propose initiatives that fail to achieve anticipated outcomes be shuttered on a timely basis.
â¢ Monitor and measure ongoing outcomes from deployed programs, identifying processes requiring additional intervention and those ripe for ongoing improvement
â¢ Prepare regular updates to other senior leaders around areas of focus, results and outcomes
â¢ Assist in the preparation of annual budgets and long range plans
â¢ Collaborate with the professionals driving similar analytic-powered efforts in other divisions of the company
â¢ Promote the utilization shared datasets, toolsets and infrastructure that are maintained by the company's Data Services team
â¢ Source new datasets, advocate for their acquisition, and integrate them into the company's Data Warehouse
Desired Skills and Experience
Key Skills & Competencies
â¢ Five yearsâ work experience performing analytics using big datasets in order to drive better outcomes, with a preference to having done so within the media or advertising sector
â¢ Proven skills at using sophisticated modeling, data manipulation, forecasting and analytic techniques
â¢ Experienced user of advanced statistical package. Prefer SAS and R.
â¢ Experienced SQL programmer.
â¢ Experience working in a UNIX environment and scripting
â¢ Experience working with Amazon AWS (primarily using S3, EC2, and Redshift).
â¢ Expert with Excel: macro and Visual Basic experience a plus
â¢ Strong presentation and communication skills
â¢ Bachelorâs degree in data or computer science, statistics or economics. Advanced degree preferred.