Job Description

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 algorithmsSkillsExperience and Skill Set Requirements

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

Setting Up Tracking: 20%

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

Creating Dashboards: 20%

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

Configuring Funnels: 20%

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

Data Analysis: 20%

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

Continuous Improvement: 20%

• 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.

Must Have:

• 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.