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    Assistant Manager Digital Analytics - Amsterdam, Nederland - adidas

    adidas
    adidas Amsterdam, Nederland

    1 week geleden

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    Beschrijving

    Join adidas Europe and shape the future For over 75 years, our European heritage has been a fusion of culture and innovation, driving global sports trends. Our offices, from Herzogenaurach to London, Berlin, Amsterdam, Warsaw, Athens, Milan, Manchester and Paris, are centers of creativity and collaboration. We aim to be Europe's best sports brand, seeking pioneers and visionaries to join our bold journey. At adidas, you're not just getting a job; you're invited to make a global impact, joining a team that values creativity, courage and innovation. Are you ready to be part of our journey?

    Key Responsibilities

    Scope: Contribution to a specific analytic deliverables or services

    Analytics

    In this role, you will have the unique opportunity to dive deep into the adidas media ecosystem (across both paid and organic channels) to generate insights that inform channel strategies and tactics.

    Make methodology recommendations for various testing initiatives, ensuring robust test setups.

    Interpret (causal impact) test results within different marketing channels to drive continuous optimization, increased consumer satisfaction and improved return on ad spend.

    Create solutions and insights for ad hoc and recurring requests using analytics toolkit (SQL, python, PowerBI, Adobe Analytics, etc).

    Translate business requirements into analytical needs and vice versa.

    Consulting

    Collaborate with Performance Marketing teams as well as agency stakeholders to identify opportunities within Paid Media for commercial campaigns as well as BAU activity.

    Translate gathered insights into engaging, actionable, and easy to digest insights presentations including visualization.

    Build trust with stakeholders in your scope of responsibility to facilitate actionability of insights.

    Help establish a fact-based culture in the organization by continuously improving data driven decision processes.

    Reporting

    Be part of further developing the reporting infrastructure for marketing channels across paid, non-paid and earned channels.

    Develop self-service analytics solutions and ensure continuous improvement & relevance through stakeholder feedback.

    Contribute to the development of best practice guidance for markets and other adidas stakeholders to maximize the use of analytics capabilities.

    Innovation

    Build an internal network to increase knowledge of the digital ecosystem, data science and digital analytics.

    Challenge your stakeholders and the rest of the analytics team to adopt the latest available tools & insights for optimal decision making.

    Proactively identify insights & opportunities that the business can pursue and influence adoption.

    Key Relationships:

    Europe eCom Media Activation

    Europe Media Agency

    Europe Trading Team

    Europe Finance

    Europe eCom Digital Activation

    Global Digital Analytics

    Other Europe eCom Teams

    Requirements

    Education & Professional Experience

    University degree in the field of Analytics, Business Information Management, Data Science

    2+ years of hands-on experience in Data Science or Advanced Analytics

    Experience in eCommerce environment considered a bonus.

    Experience with digital marketing in a brand environment considered a bonus.

    Soft-Skills

    A passion for delivering data-based recommendations for quantifiable improvements in business results and consumer satisfaction.

    Good communication skills, presentation skills and storytelling, comfortable presenting complex topics to stakeholders at various organizational levels both in person and remotely.

    Hard-Skills

    Good Experience with ETL tools and automation techniques is a must: e.g. python, SQL

    Experience with enterprise level cloud data platforms (Databricks, Snowflake, GCP, etc).

    Experience with visualization techniques and data analysis tool(s) e.g. PowerBI, python data viz libraries

    Experience with diagnostic & predictive data science techniques (e.g. decision trees, multivariate regression)

    Good project management skills, including the ability to work on several projects simultaneously.

    Proficient in MS Office

    Fluent English both verbally and written.

    Experience with causal inference considered a bonus.

    Basic Experience with marketing analytics disciplines (web, eCom, social, mobile, paid media, SEO, SEM, CRM, etc.). considered a bonus.

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