Business Insights Analyst
Pubblicato il 31-08-2026 - Witailer in Italia
Witailer supports brands and companies in growing their business on marketplaces by combining expertise in commerce, data analysis, and business intelligence.
Founded in 2017 as an innovative startup, Witailer is now a leading player in digital commerce strategy and in the management of major European and international marketplaces.
As part of Alkemy Group ecosystem of capabilities and within (Alkemy)+ - the Group’s brand that integrates creativity, design, media, and commerce - Witailer helps brands navigate the competitive landscape and define growth and consolidation strategies across marketplaces and retailer ecosystems, with a strong focus on Amazon but extending to a broader retail environment.
Through tailored strategies, proprietary software solutions, and dedicated marketing and advertising consulting services, Witailer enables brands to build a more effective, structured, and measurable presence in digital commerce.
Are you passionate about transforming data into an insightful story to influence our clients’ decisions?
Are you curious about all the changes that the ecommerce world is currently undergoing, and do you want to be part of a team that handles future implications for brands?
Do you excel in cooperating with different teams to devise the best answer for our clients’ business questions?
Then our Business Insights Analyst role is for you
At Witailer, you will learn everything about e-commerce and the recipe for success on e-marketplace platforms. Our mission is to help brands succeed in this complex ecosystem, offering end-to-end solutions. We serve our clients as consultants and as partners in the implementation of digital strategies. We are professionals with an international view, passion for technology and an entrepreneurial attitude.
As a Business Insights Analyst you will:
- Become an expert in Amazon and online retailers, knowing all the possibilities offered by these platforms to obtain success as a brand and how to best exploit the data th