Über
- Collaborating with the Digital Commernce, Marketing, and Data & Analytics engineering in owning the advanced analytics product roadmap for NAM (intake, prioritization, sequencing, and communication)
- Managing the end-to-end delivery of analytics products: problem framing, requirements, data readiness, modeling approach, validation, deployment plan, and adoption enablement
- Establishing "analytics product" standards (definition of done, documentation, monitoring, refresh cadence, QA checks, and governance) to ensure solutions are scalable and sustainable
- Partnering closely with Data Engineering to design production-grade pipelines, SLAs, and data quality controls for model inputs and outputs
- Designing measurement strategies to quantify value and impact of analytics products (e.g., uplift validation, incremental revenue/cost savings, adoption metrics)
- Coaching and enabling analysts to apply strong product thinking (MVP scoping, stakeholder alignment, decision-driven outputs) and reduce one-off analysis churn
- Collaborating with the Experimentation function to validate product impact using experiments or quasi-experimental methods where appropriate
- Driving stakeholder adoption through clear documentation, training, and self-serve outputs (dashboards, scoring feeds, and decision tools)
- Building the operating rhythm for an advanced analytics practice (quarterly planning, intake triage, delivery cadences, and executive readouts)
- Collaborating across NAM Analytics and Data Science Team to build reusable modeling frameworks and scale production-ready analytics
- Expanding advanced analytics adoption through enablement, governance, and integration into core Digital Commerce workflows
- Supporting future AI initiatives (e.g., GenAI search and agentic commerce) by defining data readiness, evaluation frameworks, experimentation strategies, and governance to ensure AI-enabled experiences drive measurable business impact
- You have a bachelor's degree in a related field (Analytics, Data Science, Business, Economics, Engineering, or similar)
- You have 5+ years of experience in analytics, data science, product analytics, or related roles, with demonstrated experience shipping analytics solutions into production and driving adoption
- You have strong product and delivery leadership skills: ability to translate business problems into MVPs, manage a roadmap, and deliver through cross-functional dependencies
- You have solid technical fluency: SQL proficiency and working knowledge of Python (or similar) and data modeling concepts; comfortable partnering closely with Data Engineering
- You have experience with advanced analytics and/or ML methods (e.g., attribution, segmentation, forecasting/diagnostics, classification, uplift/causal methods)
- You have a strong understanding of measurement and experimentation principles; able to evaluate impact and avoid overclaiming results
- You have experience with data visualization and enablement (preferably Power BI) and building self-serve decision tools
- You are an excellent communication and stakeholder management skills; able to influence without authority and align diverse teams to a common plan
- You are comfortable operating under ambiguity, managing multiple priorities, and maintaining a high-quality bar
- You are a team player and have experience working with cross-functional teams
- You are innovative and creative, with a logical and methodical approach to problem solving
- You are proactive in identifying the root cause of issues and developing creative solutions
- You remain highly flexible and adaptable when faced with ambiguity
- You inspire breakthrough thinking and continuous improvement
- Your passion for your work is paralleled by your passion for getting outside and living it
Arc'teryx is committed to actively creating and fostering a culture of inclusivity where voices are heard, people are seen, and values are respected. We care about the uniqueness of our applicants, employees, and guests, and we do so in a safe space fueled by curiosity and acceptance.
Creating an inclusive workplace is connected to our core value Do Right while also having the added benefit of helping make our business better. We believe inclusion helps us to create a healthier, happier workplace, drive creativity and innovation, and reflect the communities where we operate.
All applicants, employees, and guests can expect equality of opportunity and fair treatment in alignment with our values.
Leave it Better We believe that the mountains transform us, that how we adventure matters, and that there's always a better way. Join us in creating positive change in ourselves, our communities, and the world.
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Sprachkenntnisse
- English
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