Maarut - 33 Jobs
East York, ON
Closed
This position has been closed and is no longer accepting applicants.
Job Details:
Full-time
Entry Level
Responsibilities
General Skills
RequirementsExperience and Skill Set Requirements
- 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 algorithms
RequirementsExperience and Skill Set Requirements
1. Predictive Analytics & Modeling Expertise – 25%
- 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
2. Data Management & Technical Proficiency – 20%
- 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
3. Insight Generation & Business Impact – 20%
- Ability to translate data into actionable insights
- Demonstrated influence on decision-making
- Experience defining KPIs and measurement frameworks
- Clarity and relevance of analytical outputs
4. Visualization & Communication – 15%
- 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
5. Collaboration & Delivery – 10%
- 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
6. Leadership & Mentorship – 10%
- Experience mentoring or coaching analysts
- Providing technical guidance and standards
- Driving best practices in analytics and data usage
- Contributing to team capability development
Must Have:
- 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.
Frequently Asked Questions
This is a full-time position based in East York, ON.
The role requires practical use of Python, SQL, Databricks, Power BI, and familiarity with Azure or comparable cloud platforms.
You will support predictive and advanced analytics using methods such as forecasting, segmentation, classification, multivariate regressions, time-series, and other techniques listed.
Responsibilities include data management in large datasets, building data pipelines, quality assurance, and creating dashboards or reporting with Power BI or equivalent to visualize results.
You will translate data into actionable insights, influence decision-making, define KPIs and measurement frameworks, and tailor outputs for technical and non-technical audiences.
Yes, there is a leadership and mentorship aspect, including coaching analysts, providing technical guidance, and driving best practices within analytics and data usage.
The role requires collaboration in cross-functional and agile teams, partnering with business and technical stakeholders, and contributing to team outcomes and delivery timelines.
