Sr. Manager leading Power BI Fabric, Logi, Plotly, and NxT.Analytics reporting for Clario’s life - sciences technology business. Modernizing platforms, governing analytics, and developing a global team.
About the role
- Data Visualization Specialist building Tableau and Looker dashboards for ShyftLabs’ enterprise data solutions. Automating campaign reporting and transforming complex datasets into actionable insights.
Responsibilities
- Design, develop, and maintain internal- and external-facing dashboards using Tableau, Looker, and other analytical tools
- Build and maintain standardized End-of-Campaign (EOC), End-of-Quarter (EOQ), and End-of-Year (EOY) reporting solutions
- Automate recurring dashboards, reporting workflows, and data preparation processes
- Analyze large and complex datasets using exploratory data analysis and statistical techniques
- Identify trends, patterns, correlations, and actionable opportunities across business domains
- Use Google BigQuery and other data sources to extract, query, transform, and organize data
- Perform data profiling, cleansing, reconciliation, and validation
- Partner with business stakeholders and cross-functional teams to define KPIs and translate business needs into analytical solutions
- Present analytical findings and campaign performance insights to diverse audiences
- Manage deliverables from requirements gathering through development, validation, deployment, and maintenance
- Identify risks, dependencies, and roadblocks
- Document dashboards, data models, reporting workflows, dependencies, and troubleshooting procedures
- Improve reporting capabilities, analytical processes, and business intelligence solution accessibility and usability
Requirements
- Hands-on experience developing dashboards, reports, and data visualizations using Tableau and/or Looker
- Strong proficiency in Google BigQuery, including SQL-based data extraction, querying, analysis, and data management
- Experience using Python and analytical or visualization libraries for data analysis, manipulation, and reporting automation
- Strong analytical and problem-solving skills with large datasets and statistical techniques
- Experience with exploratory data analysis (EDA), identifying trends and correlations, and translating findings into actionable recommendations
- Knowledge of data profiling, cleansing, validation, reconciliation, and data quality or governance practices
- Experience gathering business requirements and translating them into scalable dashboards, data models, and reporting solutions
- Strong communication and stakeholder-management skills for technical and non-technical audiences
- Proactive, detail-oriented approach with ownership and ability to manage multiple deliverables in a fast-paced environment
- Ability to work independently and collaboratively within a lean team with minimal supervision
- Commitment to documentation, knowledge sharing, and continuous improvement
- Must work three days per week in the downtown Toronto office
Benefits
- Hybrid flexibility: 3 days per week in the downtown Toronto office
- 100% coverage for health, dental, and vision insurance for you and your dependents from day one
- Continuous learning opportunities
- Influence over technical direction
- Equal-opportunity, safe, diverse, and inclusive workplace
- Interview-process accommodation available
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