Senior Data Analyst

Viafoura; Toronto; On-site; CAD 60,000 - 80,000; Full time

Job summary

A leading media engagement company in Toronto seeks a Data Analyst to develop predictive models, ensure data quality, and collaborate across departments. Ideal candidates will have strong analytical skills, 1-4 years of relevant experience, and proficiency in SQL and data visualization tools. This role promotes team collaboration and mentorship within a dynamic work environment.

Qualifications

• 1-4 years of experience in data analysis or related role.
• Excellent communication skills for reporting and presenting findings.
• Strong analytical skills and attention to detail.

Responsibilities

• Develop predictive models to support business planning.
• Create reports and presentations for stakeholders.
• Ensure data integrity across multiple sources and systems.
• Collaborate across functions to understand business needs.
• Mentor and guide intermediate data analysts.

Skills

Data analysis

Statistical analysis

Data visualization

SQL querying

Collaboration

Tools

Quicksight

Superset

Snowflake

MySQL

Job description

Viafoura is on a mission to empower media brands to activate their digital audiences. We build engagement solutions that build audience conversion, enhance loyalty and increase revenue and trust to meet audience goals. We’re at the forefront of community engagement for owned & operated sites, working with some of the most advanced publishers in the industry, along with some of the best people.

The Role :

We’re on the hunt for our next rockstar addition!

This is a highly visible and cross-collaborative role at Viafoura, so we are looking for someone with a strong ability to work with all functions and levels within an organization both internally and externally & inspire a positive change through value realization and “aha” moments.

Reports to : Director, Engineering

Key responsibilities :

Data Analysis & Insights

• Develop predictive models and forecasting algorithms to support business planning
• Create comprehensive reports and presentations that communicate findings to stakeholders at all levels
• Perform ad-hoc analyses to support urgent business questions and strategic decisions
• Design and conduct complex statistical analyses to identify trends, patterns, and opportunities

Data Management & Quality

• Ensure data integrity and accuracy across multiple data sources and systems
• Establish data quality standards and monitoring procedures
• Collaborate with data engineering teams to optimize data infrastructure
• Create interactive dashboards and visualizations using tools like Quicksight and Superset or any other related tools
• Build automated reporting systems to track key performance indicators (KPIs)
• Design executive-level summary reports and detailed operational dashboards
• Present findings to senior leadership and recommend strategic actions

Cross-functional Collaboration

• Partner with customer success, product, marketing, finance, and the rest of the engineering teams to understand business needs
• Translate business requirements into analytical approaches and methodologies
• Support A / B testing initiatives and experimental design
• Provide analytical expertise for strategic projects and initiatives
• Mentor and guide intermediate data analysts
• Lead analytical projects from conception to implementation
• Establish best practices for data analysis and documentation
• Contribute to the development of the analytics team and processes

Requirements :

• 1-2 years of position-related experience; preferably 2 to 4 years of position-related experience
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate information with attention to detail and accuracy
• Experience with data visualization tools like Quicksight, Superset
• Experience querying databases with SQL for data analysis (specifically Snowflake & MySQL)
• Excellent team-player with ability to work independently
• Excellent written and verbal communications skills, able to report and present findings

Nice To Haves :

• Experience using statistical computer languages, e.g. Python or R
• Demonstrated experience applying data science methods to real-world data problems
• Technical expertise regarding data models, database design development, data mining and segmentation techniques
• Knowledge of advanced statistical techniques and concepts (e.g. regression, probability distributions, statistical tests) and experience with application

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