RQ11162 - Predictive Analytics Analyst - Senior

Maarut•Toronto, ON

About The Position

This role involves supporting predictive and advanced analytics initiatives. The analyst will be responsible for running advanced analytic techniques, interpreting results, and visualizing findings. The position requires expertise in various statistical modeling and predictive techniques, proficiency with large datasets and cloud platforms, and the ability to translate data into actionable business insights. Strong communication and collaboration skills are essential for success in this role.

Requirements

Depth of experience with statistical modeling and predictive techniques
Application of methods (forecasting, segmentation, classification, etc.)
Practical use of tools (Python, SQL, Databricks, etc.)
Ability to apply methods to real-world business problems
Experience working with large, complex datasets
Knowledge of data pipelines and enterprise data environments
Familiarity with Azure or comparable cloud platforms
Data preparation, integration, and quality assurance practices
Ability to translate data into actionable insights
Demonstrated influence on decision-making
Experience defining KPIs and measurement frameworks
Clarity and relevance of analytical outputs
Effectiveness of dashboards and reporting (Power BI or equivalent)
Ability to communicate complex concepts simply
Stakeholder engagement and storytelling capability
Tailoring insights for technical vs. non-technical audiences
Experience in cross-functional and agile teams
Ability to partner with business and technical stakeholders
Contribution to team outcomes and delivery timelines
Adaptability in fast-paced delivery environments
Experience mentoring or coaching analysts
Providing technical guidance and standards
Driving best practices in analytics and data usage
Contributing to team capability development
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
Practical use of tools (Python, SQL, Databricks, etc.)
Experience with Power BI and SQL
Knowledge of data pipelines and enterprise data environments
Familiarity with Azure or comparable cloud platforms
Implementing and managing Google Analytics tracking codes and Google Tag Manager.

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.

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