Consumer Data Analyst W/M at Salomon

Annecy, Auvergne-Rhône-Alpes, France -

Full Time

Start Date

Immediate

Expiry Date

07 Sep, 26

Salary

0.0

Posted On

09 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Power BI, SQL, Predictive Analytics, CRM Data Analysis, E-commerce Analysis, Data Visualization, Cloud Data Environments, Programming Languages, Problem Solving, Communication Skills, Critical Thinking, Collaboration, Data Literacy, Analytical Framework Design, Stakeholder Management

Industry

Spectator Sports

Description

Company 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. Job Description As a Consumer Data Analyst, you will turn complex consumer data into clear, actionable recommendations to support decision-making and improve business performance. Key responsibilities: Analyze consumer and business data from various sources (CRM, e-commerce, retail, products, etc.) to support customer strategy and operational plans Collaborating with Data Scientists on predictive analytics projects (segmentation, clustering, machine learning) Work with the Power BI team to maintain and optimize dashboards and reporting tools to support business teams in their decision-making Ensure data quality and reliability Design scalable analytical frameworks and reusable templates to enable faster and more consistent decision-making Build strong relationships with Product, Marketing, and cross-functional teams to support data needs Contribute to the development of a data-driven culture by promoting best practices and data literacy Identify new opportunities to enhance consumer understanding through innovative analytics and new data sources Qualifications Experience : Minimum 5 years of experience in data analysis, with the ability to translate data into actionable business recommendations Strong knowledge of programming languages Education : Bachelor’s or Master’s degree in Data, Marketing, Statistics, or a related field (engineering school or business school) Language : Fluent in English Technical Skills : Strong analytical and problem-solving skills with the ability to turn complex data into actionable recommendations Good communication skills to present analyses clearly and effectively Experience with data visualization tools (ideally Power BI) Ability to work independently with data Knowledge of SQL and cloud data environments is a plus Soft Skills: Strong analytical and critical thinking Ability to translate data into business decisions Strong verbal and written communication skills Team spirit and collaboration Proactivity and curiosity Additional Information Contrat : Poste en CDI à temps plein Localisation : Annecy, France

Responsibilities

The role involves analyzing complex consumer and business data to provide actionable recommendations for customer strategy and operational plans. Key tasks include collaborating with data scientists on predictive projects and optimizing Power BI dashboards to support decision-making.