Job Description

Amer Sports is a sporting goods company with internationally recognized brands including Salomon, Arc’teryx, Peak Performance, Atomic and Wilson.

“The Mountain Sport Company”, Salomon was born in 1947 in the heart of the French Alps and the birthplace of modern alpinism. Salomon’s commitment to innovative design and passion for mountain sports created a vast range of revolutionary new concepts in bindings, boots, skis and apparel for both Alpine and Nordic skiing and brought innovative solutions to footwear, apparel and equipment for snowboarding, adventure racing, mountaineering, hiking, trail running, and many other sports.

Through performance driven design, Salomon delivers innovation and progression to mountain sports; converting new ideas into action and expanding the limits of possibility. Salomon’s heritage, culture, and commitment are tied together by one simple concept: the world’s leading mountain people creating the world’s leading mountain products. Salomon is responsibly committed towards the outdoor through its sustainability program. Diversity is one of Salomon’s five values, therefore we are committed to creating an inclusive environment for all.

Salomon is headquartered in Annecy, France.

ESSENTIAL DUTIES & RESPONSIBILITIES

To perform this job successfully, an individual must be able to perform each essential duty and responsibility satisfactorily:

• Aggregate and analyze data from multiple sources to identify trends, performance drivers, and emerging risks or opportunities across the North American eCommerce business
• Translate data into clear, structured insights and recommendations that support decision-making across merchandising, eCommerce, and cross-functional teams
• Socialize insights through both synchronous (presentations, readouts) and asynchronous (decks, written summaries, reporting outputs) formats, ensuring clarity and usability for stakeholders
• Support recurring and ad hoc analysis needs, helping improve visibility into business performance and key drivers
• Write and maintain SQL queries to extract, validate, and structure data for analysis and reporting
• Use LLM and SLM tools and prompting techniques to accelerate analysis, summarize outputs, and improve the quality and efficiency of insight communication
• Partner with the Senior Analytics Engineer to validate data accuracy, confirm metric definitions, and ensure consistency across datasets and reporting outputs
• Support testing and validation of analytics datasets, dashboards, and tooling to ensure reliability and usability
• Champion adoption of reporting tooling and platforms
• Contribute to pilot analytics projects by supporting data validation, analysis, documentation, and communication of results
• Identify data inconsistencies or quality issues and partner with technical stakeholders to investigate and resolve root causes
• Maintain clear documentation of analysis, assumptions, and outputs to support transparency and repeatability

Additional Considerations

• Advanced degree in Analytics, Business, Economics, Data Science, or equivalent practical experience
• Additional technical languages – such as Python, R, DAX, etc.
• Experience operating within a global organization; with European headquarters and North American teams
• Demonstrated experience translating analysis into executive-ready materials (e.g., decks, business recaps, etc.)
• Familiarity with modern analytics workflows, including use of LLM tools to support analysis, summarization, or communication

PHYSICAL DEMANDS & WORKING ENVIRONMENT

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee is regularly required to travel, talk and hear. The employee is frequently required to sit, stand and walk. The employee must occasionally kneel, stoop, crouch, twist and lift to 30 pounds, with or without accommodations.

Specific vision abilities required by this job include close vision, color vision, and ability to adjust focus.

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

The noise level in the work environment is usually moderate, but can involve exposure to varying noise levels, ranging from moderate to loud, as well as flashes of light.

Qualifications

The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• ~3–6 years in analytics, business intelligence, or insights roles
• Background in eCommerce, digital, merchandising, marketing analytics, or similar domains is strongly preferred
• Experience working in a matrixed environment with multiple stakeholders (marketing, merchandising, etc.)
• Strong SQL proficiency – ability to write, debug, and optimize queries independently
• Comfortable working with large, imperfect datasets
• Familiarity with building BI dashboard and reporting tools; Tableau, Power BI, Looker, or similar
• Fostering adoption of reporting solutions within business teams
• Comprehension of medallion data architecture and star schemas
• Experience using LLMs (ChatGPT, Claude, etc.) for analysis acceleration, summarization, or workflow efficiency
• Ability to translate ambiguous business questions into structured analysis
• Strong pattern recognition and hypothesis-driven thinking
• Experience identifying drivers of performance (not just reporting metrics) and proactively recommending solutions to rectify performance
• Comfort working with incomplete data and forming directional recommendations
• Ability to clearly articulate insights in both live and asynchronous formats across differing audience levels
• High attention to detail and data accuracy
• Ability to manage multiple requests and prioritize effectively
• Collaborative mindset, especially with analytics engineering and cross-functional business counterparts

Additional Information

We are seeking an Insights Associate Manager to support insight generation and analytics delivery across our North American eCommerce business. This role focuses on aggregating data, identifying meaningful patterns, and translating findings into clear, actionable insights that can be consumed by business stakeholders and socialized to cross-functional business teams. Operating in a matrixed global environment, this role requires strong analytical fundamentals, attention to detail, and the ability to work both collaboratively and autonomously. The Insights Associate Manager will act as a bridge between cleaned data and business context, ensuring findings are accurate, relevant, and effectively socialized – with analysis projects spanning from established reporting periods to multi-quarter, multi-data domain projects. This role will partner closely with the Senior Analytics Engineer to validate data accuracy, support analytics tooling, and contribute to pilot analytics initiatives, helping improve trust and adoption of analytics across the organization.