Consumer Business Operations Analyst

Location: Mountain View, CA

Ref#: 1648.2922

posted: 16-Jun-2017

Conduct data analysis to achieve forecasting accuracy and provide business insights. Specialize analysis in sales forecast, promotional forecast, product life cycle forecast, multi-touch attribution, customer segmentation, web acquisition channel (programmatic display, paid search, and affiliate) analysis, digital marketing analysis, customer churn forecast, defining targeted audience, budget planning and web analytics. Use statistical modeling, forecasting and machine learning methods. Use the following models used in work: Logistic Regression, Gradient Boosting Tree, Random Forest, MARS(Multivariate Adaptive Regression Splines), GLM(General Linear Model) , SSM(State Space Model) , & ARIMA time series model. Responsible for data manipulation, handling data—100 Million. Be involved with data visualization and designing customized reports. Use programming skills in R, Python, SAS Macro, SQL, proficient use of Teradata, SQL Server, Salford Predictive Miner, Excel, SAP Business Objects, Tableau, Adobe Omniture, Visual IQ, BlueKai, Qlickview. Utilize graduate-level research and analysis skills. Employer will accept Master’s degree in Statistics, Computer Science, Engineering or related technical field and 3 year(s) of work experience in job offered or statistics related occupation. Education or experience must include: 1. R 2. Python 3. SAS Marco 4. SQL, SQL Server 5. Teradata 6. Excel 7. Tableau, Adobe Omniture, 8. Visual IQ, BlueKai, Qlickview 9. Statistical modeling, forecasting and machine learning methods 10. Logistic Regression, Gradient Boosting Tree, Random Forest, MARS(Multivariate Adaptive Regression Splines), GLM(General Linear Model) , SSM(State Space Model) , & ARIMA time series model, 11. Data visualization and designing customized reports.