Commercial Business Analyst (web & Marketing) - Sales Market Finland, Latvia, Lithuania & Estonia
H&M Group
Helsinki, Finland
On-site
2+ years web analytics experience
Proficiency in google analytics and sql
Experience with a/b testing methodologies
H&M Group is seeking a Commercial Business Analyst to analyze customer, web, and sales data, enhancing commercial performance and customer experience across Finland, Latvia, Lithuania, and Estonia. The ideal candidate should have at least two years of web analytics experience, proficiency in relevant tools, and the ability to generate actionable insights from complex data sets
Job Summary
The role involves analyzing customer, web, and sales data to generate insights that strengthen commercial performance and improve the online experience.
Candidates will conduct consumer research, full-funnel web analysis, and campaign evaluations to guide strategic decisions across the H&M Group brands.
Employees receive a staff discount card usable on all H&M Group brands including COS, Weekday, Monki, and ARKET, along with participation in the H&M Incentive Program.
Matching Summary
Match Score: 85
H&M Group is seeking a Commercial Business Analyst to analyze customer, web, and sales data, enhancing commercial performance and customer experience across Finland, Latvia, Lithuania, and Estonia. The ideal candidate should have at least two years of web analytics experience, proficiency in relevant tools, and the ability to generate actionable insights from complex data sets.
Skills & Requirements
Must-have
2+ years web analytics experience
Proficiency in Google Analytics and SQL
Experience with A/B testing methodologies
Knowledge of Adobe Analytics and Tableau
Strong data extraction and reporting skills
Nice-to-have
Background in eCommerce or fashion retail
Ability to translate complex findings into insights
Experience with Power BI and SEO analytics
Strong presentation and stakeholder management skills
Passion for sustainable fashion solutions
Key Requirements
Bachelor's degree in business, Marketing, Data Science, Statistics, or Economics