Purpose & Key Impact:
As Manager, Digital Analytics at adidas, you deliver advanced analytics services to drive consumer insights, business growth, and sales across Emerging Markets. You collaborate with cross-functional teams at local, regional, and global levels to support data-driven decision-making.
Core Responsibilities:
Analytics Expertise: Drive functional analytics initiatives to optimize digital business processes and uncover actionable opportunities that boost efficiency, engagement, and sales across assigned markets. This role delivers daily insights into the following areas:
Analyze traffic channels to deliver advanced insights that support planning, monitor performance, and optimize marketing spend for continuous growth in website visits. Conduct consumer funnel analytics (web and app) to map user behavior from landing to purchase, identifying opportunities to improve conversion. Evaluate product performance with advanced analytics, providing merchandising teams with insights on PLP effectiveness, product visits, and category journeys. Deliver operational analytics, including deep-dive lower funnel analysis (e.g., payment methods, shipping charges), helping the business optimize processes and address specific operational challenges.
Stakeholder Consulting & Insightful Presentations: Advise business partners on goal setting, KPI selection, and performance tracking. Identify trends and opportunities, and communicate findings through clear, impactful presentations.
Lead end-to-end analytics projects: such as database integration, marketing attribution, issues tracking, consumer journey enablement and others. Develop project plans, manage resources, and collaborate with other functions and external partners to ensure successful execution.
Reporting & Insight Delivery: Design and refine reporting structures, translating complex analytics into clear, actionable presentations for senior leadership.
Stay up to date with the latest: tools, AI advancements, and analytics techniques to align with global competitive standards.
Skills & Qualifications:
Deep expertise in analytics tools (Adobe/Google Analytics, Power BI, Amplitude, Appsflyer and Python for data analysis). Strong data visualization and presentation skills. Holistic, strategic thinker with proven project management experience. Proficient in MS Office, especially Excel. Fluent in English (verbal and written). Bachelor’s degree in business, marketing, or related field. Minimum 5 years’ experience, including 2+ years in eCommerce data analytics; paid media analytics/agency experience is a plus.