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Dashboard Development & Visualization: Design, develop, and maintain internal- and external-facing dashboards using Tableau, Looker, and other analytical tools to provide clear visibility into campaign performance and business outcomes.
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Campaign Performance Reporting: Build and maintain standardized reporting solutions for End-of-Campaign (EOC), End-of-Quarter (EOQ), and End-of-Year (EOY) reporting, ensuring consistent and reliable performance measurement.
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Reporting Automation: Automate recurring dashboards, reporting workflows, and data preparation processes to improve efficiency, reduce manual effort, and ensure timely delivery of business insights.
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Data Analysis & Insights: Analyze large and complex datasets using exploratory data analysis and statistical techniques to identify trends, patterns, correlations, and actionable opportunities across business domains.
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Data Sourcing & Modeling: Leverage Google BigQuery and other relevant data sources to extract, query, transform, and organize data for analytical use cases and scalable reporting solutions.
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Data Quality & Governance: Perform data profiling, cleansing, reconciliation, and validation to maintain data accuracy, consistency, completeness, and reliability across dashboards and reports.
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Stakeholder Collaboration: Partner with business stakeholders and cross-functional teams to understand reporting requirements, define key performance indicators (KPIs), and translate business needs into effective analytical solutions.
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Business Communication: Present analytical findings and campaign performance insights clearly to diverse audiences, tailoring reporting and recommendations to stakeholder needs.
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End-to-End Ownership: Manage assigned deliverables from requirements gathering through development, validation, deployment, and ongoing maintenance, proactively identifying risks, dependencies, and roadblocks.
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Documentation & Knowledge Transfer: Maintain clear documentation of dashboards, data models, reporting workflows, data dependencies, and troubleshooting procedures to support knowledge sharing and long-term maintainability.
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Continuous Improvement: Identify opportunities to enhance reporting capabilities, streamline analytical processes, and improve the accessibility and usability of business intelligence solutions.
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Hands-on experience developing dashboards, reports, and data visualizations using Tableau and/or Looker .
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Strong proficiency in Google BigQuery , including SQL-based data extraction, querying, analysis, and data management.
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Experience using Python and analytical or visualization libraries to support data analysis, data manipulation, and reporting automation.
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Strong analytical and problem-solving skills, with the ability to work with large datasets and apply statistical techniques to business challenges.
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Experience with exploratory data analysis (EDA), identifying trends and correlations, and translating findings into actionable recommendations.
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Knowledge of data profiling, cleansing, validation, reconciliation, and data quality or governance practices.
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Experience gathering business requirements and translating them into scalable dashboards, data models, and reporting solutions.
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Strong communication and stakeholder-management skills, with the ability to explain complex data and analytical findings to both technical and non-technical audiences.
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A proactive, detail-oriented approach with a strong sense of ownership and the ability to manage multiple deliverables in a fast-paced environment.
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The ability to work independently and collaboratively within a lean team, managing priorities and resolving issues with minimal supervision.
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A commitment to documentation, knowledge sharing, and continuous improvement of analytical processes and reporting solutions.
- $105,000 - $115.000 (CAD)