Staff Product Data Analyst

Big Viking; Toronto; Hybrid; CAD 80,000 - 100,000; Full time

Job summary

A leading gaming company is looking for a Staff Product Data Analyst in Toronto. The role involves owning analytics for flagship titles, creating predictive models, and automating workflows. Candidates should have over 6 years in gaming analytics and expert SQL skills. This full-time position offers a hybrid work model with competitive salary and benefits.

Benefits

Competitive salary

Group Retirement Savings Plan

Comprehensive benefits package

Generous time off policies

Qualifications

• Experience in product, business, or game analytics.
• Hands-on experience with SQL and BI tools.
• Familiarity with A/B testing frameworks.

Responsibilities

• Analyze player behaviour and monetization trends.
• Build and maintain analytics dashboards.
• Develop predictive models for revenue projection.

Skills

Expert SQL skills

Proficiency in Python or R

Descriptive and predictive analytics

Experience with BI dashboards

First-principles thinking

Education

6+ years in product, business or game analytics

Master’s degree in a quantitative field

Tools

Looker

Tableau

Power BI

ML libraries (scikit-learn, TensorFlow)

Job description

Important: This is a full-time, hybrid role for Ontario-based employees only. The successful candidate will be required to work from our Toronto office (Queens Quay West) for a minimum of 3 days per week.

About Us

Making fans - That’s what we’re all about! Since our humble beginnings in 2011, these two words have driven Big Viking Games to become the successful company it is today. We are focused on making our mark as a next-generation, live operations games company.

We believe that each Viking is unique and brings exponential value to the company. In return, we provide Vikings with the opportunity to solve problems through continuous learning and fostering feedback, ultimately mastering their craft. By investing in our Vikings and in new technologies, we can continue our success for years to come.

We are embarking on an adventure and rely on our team of skilled, enthusiastic, and collaborative Vikings to turn our ship towards a new horizon.

About the Role

Big Viking Games is looking for a Staff Product Data Analyst to join our team and own analytics for our flagship titles—YoWorld and FishWorld. Embedded within our cross-functional product pods, you’ll partner with Product, Marketing, FP&A and Data to: evaluate player behaviour, refine monetization strategies, and architect predictive models, revenue forecasts, and agentic workflows that automate key live-ops processes.

Reporting into the Product org, this Staff-level role is ideal for someone who thrives in a fast-paced, hypothesis-driven environment and wants their dashboards, forecasts and automation to directly impact millions of players.

You’ll help drive smarter decisions across roadmap planning, feature development, campaign performance, and in-game economy optimization—while championing first-principles analytics, machine-learning pipelines, and self-serve data automation.

What You'll Do

• End-to-end analytics & modelling
• Build and maintain dashboards (DAU, player spend, content performance, pricing effectiveness) for stakeholders across Product, Marketing and Finance.
• Analyze player behaviour, campaign performance and monetization trends to inform roadmap and live-ops tuning.
• Develop predictive models and forecasting pipelines (e.g. adoption curves, revenue projections, churn risk) using first-principles thinking.
• Impact & experimentation
• Lead A / B test design, impact analysis and lift measurement for Gem Events, Challenges, Reactivation Offers and new gameplay features (ex. SplashO, Storylines).
• Partner with FP&A to quantify cost savings and migration impacts
• Automation & scalability
• Identify inefficiencies in IAP config, asset throughput and content velocity—recommend and build agentic workflows to streamline campaign planning and delivery.
• Collaborate with Data Engineering to operationalize data pipelines, enable self-serve analytics and embed predictive insights into product dashboards.
• Cross-functional thought partnership
• Translate complex quantitative findings into clear, actionable recommendations for PMs, engineers and live-ops leads.
• Evangelize next-gen analytics best practices, mentor junior analysts and shape our data-driven culture.

The Must-Haves

• 6+ years in product, business or game analytics—ideally in mobile or live-ops gaming
• Expert SQL skills; ability to wrangle messy data into clean, performant datasets
• Proficiency in Python or R and experience with ML libraries (scikit-learn, TensorFlow, etc.)
• Hands-on experience building and maintaining BI dashboards (Looker, Tableau, Power BI or similar)
• Ability to blend descriptive analytics (What happened? Why?) with predictive insight (What will happen? How can we optimize?)
• Proven track record applying first-principles thinking to build and validate forecasting and predictive models that drove measurable product or revenue impact (validating assumptions, testing holdout samples, iterating on feature engineering)
• Ability to translate complex data insights into concise stories and actionable recommendations

The Nice-To-Haves

• Experience with in-game economy design or IAP configuration.
• Familiarity with A / B testing frameworks (Optimizely, Firebase, custom tooling).
• Background in automated data pipelines and agentic workflow tools.
• Master’s degree in a quantitative field (Statistics, Economics, Computer Science) or equivalent experience.
• Competitive salary
• Group Retirement Savings Plan matching & participation
• Comprehensive benefits package (health, dental, and vision) including Health + Wellness spending account
• Generous time off policies

Ready to set sail? Apply now and help steer our next wave of live-ops success!

Big Viking Games is committed to creating an inclusive and accessible environment for all candidates. We welcome applications from individuals of all abilities and will provide accommodations throughout the hiring process as needed. If you require any accommodations, please email [e-mail] so we can work with you to support your needs.