Senior Analytics Engineer

Salomon • New York, NY

2d • Hybrid

About The Position

We are seeking a Senior Analytics Engineer to strengthen analytics enablement across our North American eCommerce business. This role focuses on improving the reliability, scalability, and usability of data pipelines and analytics platforms so teams can make faster, better-informed decisions.

Operating in a matrixed global environment, this role requires strong technical judgment, business fluency, and the ability to work autonomously. The Senior Analytics Engineer will act as a connective layer between data infrastructure, analytics delivery, and business stakeholders, ensuring data products are durable, trusted, and adopted.

For the right candidate, this role may also provide functional leadership over insights delivery, helping shape how analysis is executed and consumed across the organization.

Requirements

• 5–7 years of experience in analytics engineering, data engineering, or advanced analytics roles
• Advanced proficiency with SQL for data transformation, modeling, and large-scale dataset manipulation
• Demonstrated experience designing, building, and maintaining production-grade data pipelines using modern ETL/ELT frameworks and orchestration tools (e.g., dbt, Airflow, Databricks)
• Strong hands-on experience with data warehousing concepts, dimensional modeling, and schema design in MPP environments (e.g., Snowflake, Redshift, BigQuery)
• Practical experience using Python or R to support data pipelines, analysis, automation, or quality validation
• Experience enabling scalable analytics platforms and self-service reporting through BI tools such as Tableau, Power BI, or Excel
• Proven ability to translate complex data into actionable insights and recommendations for cross-functional and senior-level business stakeholders

Nice To Haves

• Advanced degree in Data Science, Analytics, Computer Science, or equivalent practical experience
• Fluent or conversational French, with experience working in multilingual or cross-regional environments
• Prior experience operating within a global organization, particularly with European headquarters and North American teams
• Demonstrated experience integrating data platforms and technologies across multiple systems
• Experience supporting analytics for eCommerce, Digital Marketing, Finance, Consumer Services, or Supply Chain functions

Responsibilities

• Serve as the North American analytics enablement point of view, partnering with Global Data & Analytics teams to inform priorities, requirements, and roadmap decisions
• Design, build, and maintain reliable, scalable data pipelines and transformations that support analytics and reporting use cases across the business
• Develop and enhance dimensional data models and analytics-ready datasets to enable efficient, trusted access to data
• Ensure performance, reliability, and data quality across analytics platforms, including monitoring, testing, and proactive issue prevention
• Perform root cause analysis on data and pipeline issues, implementing durable solutions that reduce recurrence and downstream impact
• Enable scalable analytics and self-service reporting through well-documented datasets, BI tools, and shared standards
• Translate business questions into end-to-end data solutions, delivering actionable insights and recommendations in collaboration with cross-functional and senior stakeholders

Benefits

• Hybrid work schedule
• A generous PTO policy, plus 15 paid annual holidays and 3 floating holidays
• Half-day Fridays for 6 months of the year
• An exceptional employee discount on all our products and sister brands (Arc’teryx, Armada, Atomic, Wilson)
• “Powder Bell” powder days throughout the winter season
• Complimentary gym membership and resort season pass to local locations & mountains
• Opportunities to engage in the community and with industry partners

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed