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описание
Please note we are not able to offer visa sponsorship for this level ***
Wise is a global technology company building services that help people and businesses move and manage money internationally. Its products support cross-border transfers, international payments, and spending abroad.
задачи
Develop KPIs for expansion markets with Product Managers and other Analysts;
Monitor the impact of new product features on KPIs;
Identify and action opportunities to improve team KPIs;
Develop and own strategies to continuously improve team metrics;
Serve as the primary analytical point of contact for product launches;
Conduct forecasting, discovery analysis, and experimentation to support product rollouts;
Influence product decisions with robust and actionable data insights;
Build and present data-driven arguments to establish conviction and support within the team;
Contribute to wider product goals and the Money Without Borders mission;
Construct and maintain data assets for diagnosing issues and understanding product impacts;
Ensure data assets are accessible and effectively used to improve product and customer insights;
Work independently with the team to create a vision and make decisions;
Grow and inspire the team and others across Wise;
Identify opportunities that support Wise in reaching future millions of customers and redefining international payments at scale.
требования
Strong analytical thinking and product intuition focused on banking and financial services;
Proficiency in Python, advanced SQL, and BI tools;
Experience working with Product Managers, engineers, and analysts;
Relevant experience in a data-driven and complex environment with limited guidance;
Understanding of event data and tools such as Mixpanel, Google Analytics, Amplitude, or similar;
Strong communication and stakeholder management skills;
Ability to translate data into compelling narratives;
Ability to take work beyond analysis and deliver results;
Nice to have: Fintech experience, knowledge of Airflow/GitHub/DBT, experience with user-facing products and data.