• Design, build, and maintain the data models, dashboards, and reporting frameworks that give the commercial organisation clear, trusted visibility across the full commercial funnel. • Use AI tools as a core part of your analytical workflow — accelerating insight generation, improving output quality, and freeing up capacity for higher-order problem solving. • Run deep-dive analytical projects to surface patterns, anomalies, and opportunities in commercial data, translating findings into clear and actionable recommendations for commercial stakeholders. • Define and track KPIs that measure both business outcomes and the effectiveness of the processes driving them, creating a continuous improvement feedback loop. • Own preparation and follow-through for key internal meetings, strategic reviews, and cross-functional forums — ensuring the right data is in the room and decisions translate into clear next steps. • Build the analytical frameworks that underpin quarterly planning, forecasting, and target-setting, producing outputs commercial leaders can use directly. • Map, challenge, and rebuild core commercial workflows — including pipeline management, forecasting cadences, and sales incentive structures — into cleaner, faster, and more scalable ways of working. • Implement operational improvements end-to-end: not just designing the solution, but driving adoption and measuring impact with rigor. • Identify where AI can fundamentally change how commercial processes work, then build and deploy those solutions directly. • Develop a hands-on understanding of our commercial tech stack, diagnosing where friction, data loss, or missed opportunities exist. • Translate commercial problems into well-defined briefs that Product and Engineering teams can act on, bringing enough technical fluency to be a genuine peer in those conversations.

• Lead analytical efforts to analyze complex data to ensure its integrity and accuracy • Play a key role in driving organizational trust in reporting and analytics • Ensure adherence to regulatory requirements • Collaborate with engineering, data excellence, pricing and analytics, finance, and compliance teams to improve data quality • Proactively query databases, review data and dashboards, understand data flow processes, and support implementation of data initiatives

Role Description Develop and implement a set of techniques and analytics to transform raw data into meaningful information using data-oriented programming languages and visualization software. - Design and implement innovative analytical solutions and work alongside the product and engineering teams. - Apply data mining, advanced feature engineering techniques, and natural language processing to extract and analyze information from large structured and unstructured datasets. - Evaluate new features and architecture that will form the basis for innovative data solutions at Sephora. - Build comprehensive analytics views of predictive drivers and forecast their growth to perform opportunity sizing. - Work from home in the United States permitted. Requirements - Job Site: 350 Mission Street, Floor 7, San Francisco, CA 94105. - 40 hours/week; $133,952–205,196 / year Company Description At Sephora, beauty is about feeling seen, valued, and empowered, individually and collectively. It is connecting deeply with others, celebrating diversity and inclusivity, unlocking your potential, and making a difference every day. Together, we belong to something beautiful.

Head of Data Science & Analytics HybridFinance & AnalyticsFull time000-215 Toronto, Ontario, Canada Overview 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 company’s 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.