Manager - Digital Analytics
4 dni temu
technologies-expected :
Google Analytics
Python
adobe analytics
about-project :
Reporting to the Director of Digital Analytics, the Manager of Digital Analytics will lead initially a small team of analysts to provide data, reporting, measurement and insights across our digital business. This position requires strong hands-on analytical skills, problem-solving capabilities, as well as a deep understanding of Digital & Ecommerce data and analytics. This role will collaborate with stakeholders across Product, UX, Digital Operations, IT, and BI to deliver customer, digital product, experiences and operational insights, and drive ongoing testing & optimization. A successful candidate must be able to meaningfully communicate insights and recommendations to a broad group of stakeholders through exceptional oral and written communication.
responsibilities :
Be a strategic thought leader who will use data and analytics to provide insight on where the company should direct its future investments, while optimizing current user experience, products and features.
Create and present data-driven insights and recommendations to Digital Operations and Product leadership and cross-functional teams, supporting strategic decision-making and driving growth.
Lead weekly, monthly, quarterly reporting, business reviews and analysis to track business performance against goals and provide action-oriented insights to drive the business forward.
Build and optimize interactive dashboards and visualizations to clearly communicate insights, establishing visualization standards and best practices.
Comfortably handle large datasets, ensuring data accuracy and reliability while drawing meaningful conclusions.
Manage, coach and develop a small team of analysts.
Support selection and implementation of new data analytics tools and technologies to ensure they meet the GPC’s evolving requirements.
requirements-expected :
Bachelor’s degree in Business, Data Analytics, Statistics, Computer Science, or related field with 7+ years of relevant experience; or equivalent combination of education and experience required.
Strong written and verbal communication, with experience delivering presentations to different levels of audiences.
Experience and knowledge of advanced analytics/statistical modeling techniques, such as regression, clustering, forecasting, attribution, RFM, etc.
Experience with AB/ Multivariate Testing.
Experience analyzing large datasets such as clickstream data, combining with offline/other data sources.
Knowledge and understanding of relevant tools and/or languages (e.g., SQL, Python, GBQ, Qlik, PowerBI).
Experience with Adobe Analytics/ Google Analytics, Experimentation platforms such as Adobe Target, Optimizely etc.
Strong problem-solving, quantitative, qualitative, and analytical abilities.
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of professional training & courses
life insurance
coffee / tea
meal passes
sharing the commuting costs
extra leave
work in international teams
friendly atmosphere
copyrights for IT roles
hybrid work
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