Responsibilities:

• Support predictive and advance analytics.
  
• Running of advanced analytic techniques, including but not limited to, multivariate regressions, discrete choice modeling, conjoint analysis, MaxdDiff, structural equation modeling, time-series/panel data methods, path analysis, factor analysis, or survival analysis. Interpretation and visualization of results.
  

General Skills:

• Experience with Python, R, mongo, Hadoop or SQL SPSS, Stata, SAS, R, or similar statistical package capabilities
  
• Experience with econometric modeling such as forecasting and time series
  
• Experience with statistical software systems, performing analysis, and working with outcome oriented data
  
• Experience with statistical analysis with advanced data management and statistical programming
  
• Experience with data visualization
  
• Experience in the implementation and coding of algorithms
  

Experience and Skill Set Requirements:

Must Haves:

• Implementing and managing Google Analytics tracking codes and Google Tag Manager.
  
• Developing custom dashboards and reports that align with business objectives.
  
• Regularly analyzing data to extract actionable insights and reporting these to stakeholders.
  
• Analyzing data, identifying trends, and making data-driven predictions, for optimizing digital strategies.
  
• Enable business areas to use data to forecast trends and provide actionable insights of leveraging Google Analytics effectively.
  

Skill Set Requirements:

Proficiency level in Universal Analytics and Google Analytics 4 (all skills are must-have):

Setting Up Tracking:

• Implementing and managing Google Analytics tracking codes and Google Tag Manager.
  

Creating Dashboards:

• Developing custom dashboards and reports that align with business objectives.
  

Configuring Funnels:

• Setting up conversion funnels to track user journeys and identify drop-off points.
  

Data Analysis:

• Regularly analyzing data to extract actionable insights and reporting these to stakeholders.
  

Continuous Improvement:

• Performing audits and making improvements to ensure data accuracy and relevance.
  
• Analyzing data, identifying trends, and making data-driven predictions, for optimizing digital strategies.
  
• Enable business areas to use data to forecast trends and provide actionable insights of leveraging Google Analytics effectively.