Première détection par notre source: il y a 25 jours
RQ08439 - Predictive Analytics Analyst - Senior
@ Rubicon Path
Toronto, Ontario
En bref
Rubicon Path is hiring a senior predictive analytics analyst to run advanced statistical techniques and interpret and visualize results. The role also requires Google Analytics and Google Tag Manager expertise to build dashboards, funnels and forecasts for business areas. Pay.
Responsabilités :
- Run advanced analytic and predictive techniques
- Interpret and visualize analytical results
- Implement and manage Google Analytics tracking and Google Tag Manager
- Build custom dashboards and reports
- Analyze data to forecast trends and guide digital strategy
Résumé des exigences :
- Senior experience with Python, R, SQL or similar tools
- Proficiency with SPSS, Stata, SAS or similar statistical packages
- Google Analytics 4 and Universal Analytics proficiency (must-have)
- Experience with econometric modeling and forecasting
- Experience with data visualization and statistical programming
Outils et compétences
Source et dates
Type de source non vérifié · manatal
- Date publiée par l’employeur
- Non fourni
- Première détection par notre source
- 2026-10-15
- Mise à jour du dossier source
- 2026-10-15
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Données et analytique |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Rubicon Path
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 578 |
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.
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