Innovate processes, procedures, tools, and ways of working by pro-actively identifying opportunities to leverage analytics and technologies
Develop tactical and strategic reporting & analytics for Leadership to support decision making
Drive maintenance and improvement of existing reports and dashboards
Work with D&A team to continuously improve data quality and availability
Act as a change agent and accelerator for innovative tools, technologies, and methods within sales finance community
Provide training/upskilling to the sales finance community (organizing workshops, identifying & sharing relevant learning opportunities, etc)
Provide expertise, ad-hoc support and guidance to the sales finance community on statistics, analytics and visualization tools (SQL, Power BI)
Key Relationships:
Global Sales Finance
Global Sales
Market Finance teams
Global D&A team
Knowledge, Skills and Abilities:
Strong will to innovate ways of working combined with the proven execution ability; problem solving skills and solution orientated
Proven creativity and curiosity to identify and solve a wide range of Function/Business challenges
Strong analytical skills, managing large data quantities from multiple sources
Strong understanding of financial processes (forecasting, month close, reporting procedures); comfortable with Finance principles, financial modeling and financial statement/gap analysis
Good project management skills, including the ability to work in several projects simultaneously
Proven team player who can collaborate across functions and organizations
In depth understanding of market business model / system landscape and experience across relevant data domains (B2B, B2C, Brand, etc.) is a big plus
Requisite Education and Experience / Minimum Qualifications:
University degree (Bachelor, Master, MBA) in Finance, Economics, Business Administration, Computer Science, Statistics, Mathematics, Digital or a data-driven related field
5-10 years of operational finance experience within fashion or brand-driven environment or 5+ years of relevant work experience in an analytical role
Hands-on experience with statistics or analytics tools (frontend and database technologies, SQL, Power BI, R/Python, Alteryx, or similar)
Advanced experience with reporting and visualization tools (e.g., Power BI)