RQ08439 - Predictive Analytics Analyst - Senior

Rubicon Path; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

Rubicon Path is seeking a Senior Predictive Analytics Analyst in Toronto to drive advanced analytics initiatives. You will run multivariate and time-series models, interpret results, and present insights through dashboards and reports.

The role requires proficiency in Python/R, SQL, and data visualization tools, with strong experience in Google Analytics and Google Tag Manager to track performance and optimize digital strategies.

Qualifications

• Experience with predictive analytics techniques and multivariate modelling.

Responsibilities

• Support predictive and advanced analytics initiatives and interpret results.

Skills

Python

R

SQL

Statistics

Data Visualization

Google Analytics

Google Tag Manager

Time-series

Forecasting

Tools

Google Analytics

Google Tag Manager

Dashboards

Job description

RQ08439 - Predictive Analytics Analyst - Senior

About the job 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 modelling, conjoint analysis, MaxdDiff, structural equation modelling, time-series/panel data methods, path analysis, factor analysis, or survival analysis. Interpretation and visualisation of results. General Skills Experience with Python, R, mongo, Hadoop or SQL SPSS, Stata, SAS, R, or similar statistical package capabilities Experience with econometric modelling 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 visualisation 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.
• Developing custom dashboards and reports that align with business objectives.
  
• Setting up conversion funnels to track user journeys and identify drop-off points.

Data Analysis: 20%

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