Data Analyst - Viva Engage
- Toronto, ON, Canada
$50.35 to $60.42 CAD / hour · Contract
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Job details
- Pay
- $50.35 to $60.42 CAD / hour
- Job type
- Contract
- Apply by
- Posting language
- English
- Posted
Original job description
Ready to turn data into insights that shape enterprise communications? Apply Now!
Working with one of our top financial clients, this role calls for a Data Analyst - Viva Engage to support enterprise communication analytics. This opportunity offers end-to-end ownership across data sourcing, cleansing, analysis, visualization, and storytelling, with exposure to senior stakeholders and the opportunity to influence communication strategy. The successful candidate will develop performance metrics, create executive-ready reporting, and apply modern analytics and AI-enabled tools in a collaborative, high-visibility environment.
Pay rate range (CAD): $50.35/hr – $60.42/hr
Responsibilities
Privacy Policy
Working with one of our top financial clients, this role calls for a Data Analyst - Viva Engage to support enterprise communication analytics. This opportunity offers end-to-end ownership across data sourcing, cleansing, analysis, visualization, and storytelling, with exposure to senior stakeholders and the opportunity to influence communication strategy. The successful candidate will develop performance metrics, create executive-ready reporting, and apply modern analytics and AI-enabled tools in a collaborative, high-visibility environment.
Pay rate range (CAD): $50.35/hr – $60.42/hr
Responsibilities
- Analyse enterprise communication performance data and engagement metrics.
- Develop KPIs and performance measurement frameworks that support communication objectives.
- Source, clean, transform, and validate datasets.
- Build dashboards, visualisations, reports, and presentations for business stakeholders and senior leaders.
- Translate complex analytical findings into clear insights and actionable recommendations.
- Present findings effectively to technical and non-technical audiences.
- Partner with communications professionals to identify opportunities to improve communication effectiveness.
- Apply modern development practices and AI-enabled tools to enhance analytical workflows.
- Support ongoing reporting requirements and ad hoc analytics initiatives.
- Contribute across the full analytics lifecycle while developing expertise in Python, JavaScript, GitHub, AI-assisted development, and executive storytelling.
- Zero to two years of data analyst experience, including relevant internship or co-op experience.
- Experience using Python for data analysis.
- Experience using JavaScript for dashboarding or visualisation development.
- Working knowledge of Git, GitHub, and version control practices.
- Experience using AI-enabled development tools, such as coding assistants or AI-supported workflows.
- Understanding of data analysis concepts, KPI development, and basic statistics.
- Ability to create meaningful visualisations and communicate compelling data-driven stories.
- Strong verbal and written communication skills.
- Strong presentation and stakeholder management capabilities, including the ability to support non-technical audiences.
- Ability to work independently, solve problems, and learn new technologies quickly.
- Adaptable, self-motivated, and eager to develop in a data-driven environment.
- Experience with databases and data modelling.
- Experience in marketing, communications, or product analytics.
- Experience in banking or financial services.
- Exposure to executive-level reporting and presentations.
Privacy Policy
More about this job
Responsibilities
Analyze enterprise communication performance and engagement data, develop KPIs, and source, clean, transform, and validate datasets. Create dashboards and executive-ready reports, communicate actionable insights to stakeholders, and collaborate with communications teams to improve effectiveness using modern and AI-enabled analytics workflows.
Requirements
The role seeks candidates with zero to two years of data analyst experience, including internships or co-op experience, and experience with Python, JavaScript, GitHub, data analysis, KPI development, and visualization. Candidates should communicate insights effectively, present to technical and non-technical audiences, manage stakeholders, solve problems independently, and be eager to learn; database, communications analytics, financial services, and executive reporting experience are advantageous.
Skills
- Python
- JavaScript
- Git
- GitHub
- Data Analysis
- KPI Development
- Basic Statistics
- Data Visualization
- Dashboard Development
- Data Storytelling
- Data Cleaning
- Data Transformation
- Data Validation
- Stakeholder Management
- Presentation Skills
- AI-Assisted Development
Visa sponsorship
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Categories
- Data & Analytics
- Technology
- Finance & Accounting
- Marketing
Keywords
- Enterprise Communications
- Communication Analytics
- Engagement Metrics
- Performance Metrics
- KPIs
- Data Sourcing
- Data Cleansing
- Data Transformation
- Data Validation
- Python
- JavaScript
- Git
- GitHub
- Version Control
- AI-Assisted Development
- AI-Supported Workflows
- Data Analysis
- Basic Statistics
- Data Visualization
- Dashboard Development
- Executive Reporting
- Data Storytelling
- Stakeholder Management
- Marketing Analytics
- Communications Analytics
- Product Analytics
- Financial Services
- Banking
- Data Modeling