Senior Data Analyst

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

Job summary

Viafoura is seeking a data analyst to enhance business planning through data analysis and insights. The role demands strong analytical skills, the ability to collaborate across teams, and experience with tools like SQL and data visualization platforms. Ideal candidates will have 1-4 years of experience and exhibit a detail-oriented approach to data management.

Qualifications

• 1-2 years of position-related experience; preferably 2 to 4 years.
• Experience with data visualization tools and SQL for analysis.
• Strong analytical skills and excellent communication skills.

Responsibilities

• Develop predictive models and reporting systems for business planning.
• Ensure data integrity and collaborate with data teams.
• Mentor and lead analytical projects from conception to implementation.

Skills

Analytical Skills

Attention to Detail

Communication

Collaboration

Tools

Quicksight

Superset

SQL

Python

R

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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