Head of Data Science & Analytics

Description

About Big Viking Games

Big Viking Games is a Canadian gaming company focused on building operating and growing engaging online game experiences. Our teams work across product technology live operations monetization player experience and content to create games and communities that last.

We are entering a new phase of growth and modernization with a focus on stronger data visibility better decision-making improved operational discipline and practical adoption of AI across the business.

This is a hybrid role with three (3) days in office.

About the Role

We are creating a new Head of Data Science & Analytics role to build and lead the data function across Big Viking Games. This is a hands-on leadership role for someone who can operate strategically but also roll up their sleeves and personally build the analytics foundation.

The right person will be comfortable working as a solo operator at first owning the work directly before building out the team over time. This role will be responsible for transforming raw data into actionable insights that improve decision-making across product live operations monetization marketing finance player experience and executive leadership.

We are also looking for someone who understands how modern AI can materially improve analytics workflows reporting automation and productivity. Experience implementing AI tools agentic workflows copilots or automation systems will be highly valued.

This is a newly-created role with significant opportunity to shape the data strategy operating model tooling reporting structure and future team.

Responsibilities

Build and own the companys data science and analytics function from the ground up.

Partner with executive leadership product live operations marketing finance and technology teams to turn business questions into clear insights recommendations and action plans.

Develop the core analytics roadmap across player behavior retention engagement monetization game health content performance live operations user segmentation forecasting and business performance.

Personally perform hands-on analysis including SQL querying dashboarding data modeling KPI development reporting statistical analysis and business case development.

Improve the quality consistency and reliability of company metrics reporting and data definitions.

Identify gaps in data collection instrumentation data architecture reporting and operational visibility.

Partner with engineering and data stakeholders to improve data pipelines data quality data governance and access to trusted datasets.

Design dashboards and executive reporting that help leaders understand what is happening why it is happening and what should be done next.

Lead analysis on player lifecycle cohort behavior monetization trends feature performance content performance game economy and live-service operations.

Support experimentation A/B testing measurement frameworks and decision-ready analysis for product and business initiatives.

Implement practical AI-driven solutions to accelerate analytics workflows automate repetitive reporting improve insight generation and support better business decisions.

Explore and deploy AI agents copilots workflow automations and other tools that improve productivity across analytics operations product and leadership reporting.

Establish best practices for responsible AI use data privacy analytical rigor documentation and repeatable workflows.

Over time hire coach and lead a high-performing data science analytics and/or BI team.

Requirements

Qualifications

8 years of experience in data science analytics business intelligence product analytics or a related data discipline.

Experience operating in a gaming digital product SaaS consumer technology marketplace or live-service environment.

Strong hands-on analytical skills including advanced SQL and experience with Python R or similar analytical tools.

Proven ability to translate ambiguous business problems into structured analysis clear recommendations and executive-level narratives.

Experience building dashboards reports KPI frameworks and decision-support tools for senior leadership.

Strong understanding of product analytics user behavior retention engagement monetization segmentation cohort analysis forecasting and experimentation.

Experience working with data engineering product finance marketing and executive teams.

Experience implementing or adopting AI tools GenAI copilots agentic workflows workflow automation or AI-enabled analytics processes.

Ability to operate independently in a hands-on capacity before a larger team is built.

Strong communication skills with the ability to explain complex analysis in clear business language.

Demonstrated ability to build structure in an environment where data processes tooling or reporting may still be maturing.

Nice to Haves

Experience with Snowflake or similar modern cloud data platforms.

Experience with gaming analytics live-service games virtual economies content performance player segmentation in-game monetization or player lifecycle analytics.

Experience with BI tools such as Looker Tableau Power BI Sigma Mode Metabase or similar platforms.

Experience with dbt data modeling data governance experimentation platforms or modern analytics engineering practices.

Experience building AI agents or automated workflows using tools such as ChatGPT Claude LangChain Zapier Make n8n Retool or internal workflow automation tools.

Experience building a data function hiring analysts or scaling a small data team.

Ideal Candidate Profile

The ideal candidate is a builder not just a manager. They have the seniority to set strategy and influence executives but the humility and capability to do the work themselves. They are commercially minded technically credible and comfortable working in an environment where they may need to create structure from ambiguity.

They understand that analytics is not just reporting. It is a decision-making function. They can identify what matters build the systems to measure it explain what the data means and help the business act on it.

They are also forward-looking in how they use AI. They should be able to bring practical usable AI adoption into the company not just talk about it conceptually.

Benefits

Compensation

The expected compensation range for this role is based on experience qualifications and overall fit.

Benefits

Comprehensive benefits package (health dental and vision) including HSA/WSA spending account from Day 1

Participation in the Employee Stock Option Plan (ESOP)

RRSP participation and matching

15 Vacation Days 10 Wellness Days

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 so we can work with you to support your needs.

Required Experience:

Director

Employment Type : Full Time
Experience: years
Vacancy: 1