Data Analyst - Viva Engage

Toronto, ON
On-site
Posted Nov 10, 2026
1 position

$50.35–$60.42 / hour

Applications are currently unavailable for this posting.

Employment type: Contract
Posting language: English
Application method: Apply on LinkedIn (LinkedIn sign-in required)

Job summary

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.

Job details

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 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. Desired Skill-Set 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. Nice to Have 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. BeachHead is an equal opportunity agency and employer. We advocate for our candidates and welcome applicants regardless of race, color, religion, national origin, sex, age, or physical or mental disability. BeachHead or our clients may use technology-enabled tools, including automation and artificial intelligence (AI), to support parts of the recruitment process such as resume screening, application management, and candidate matching. These tools assist our recruiters and our clients, and do not replace human decision-making. This job posting represents a current or anticipated vacancy. The position may be filled at any time, and the posting may be removed without notice once the role has been filled. Privacy Policy

What you’ll do

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.