RQ08439 - Predictive Analytics Analyst - Senior

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, MongoDB, Hadoop or SQL.
• Proficiency in statistical packages such as SPSS, Stata, SAS, or similar.
• 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.

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 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 leveraging Google Analytics effectively.