Analytics Manager - Paid Media
Analytics Manager - Paid Media 1308757A leading podcast and audiobook company is seeking a Manager - Analytics. The successful candidate 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.
The ideal candidate has 3+ years of relevant experience in the areas of Strategic Analytics, Business Intelligence, Data Science, or Consulting in a digital environment or a related field.
The company offers a great work environment!Analytics Manager - Paid Media Pay and Benefits :
- Hourly pay : $55-$75 / hr (Pay varies based on candidate's location and experience)
- Worksite : Leading podcast and audiobook company (Newark, NJ 07102 or Los Angeles, CA 90232 - Hybrid)
- W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL
- 40 hours / week, 8 Month AssignmentAnalytics Manager - Paid Media 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 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.
- Conduct geotesting, A / B test to match campaigns.
- Run different scenarios for budget allocations. Analytics Manager - Paid Media Qualifications :
- 3-5 years of relevant experience in the areas of Strategic Analytics, Business Intelligence, Data Science, or Consulting in a digital environment or a related field.
- MS degree (Sciences, Operations Research (OR), Economics, Mathematics, Engineering, or similar field) or equivalent experience in a data-driven / analytical role.
- Quantitative degree (Sciences, Operations Research (OR), Economics, Mathematics, Engineering, or similar field) or equivalent experience in a data-driven / analytical role.
- Hands-on experience designing A / B tests
- Hands-on experience with Tableau dashboards and a good understanding of this tool.
- 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.
- Proficiency in Python, R or other analytics / data science tools is preferred.
- Excellent written and oral communication / presentation skills preferred.
- 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.
- 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.