Data Analysts are the drivers of how data is leveraged in solving business problems within their area. They are able to use their experience to consult with stakeholders in problem-definition, setting success metrics and shaping the way forward through data insights and effective communication with their audience.
Data Analysts are able to manage stakeholders largely autonomously (seeking for help in complex scenarios) based on their experience by prioritizing business impact, efficiently adapting to business needs, and managing expectations accordingly.
They can use their deep practical understanding of the data, workflows, methods and tooling to autonomously drive analysis and reporting within their scope. They can adapt their tooling and approach based on business and user needs.
The successful candidate will be a key member of the Payments Analytics team within the Payments Product department. They will be responsible for a combination of building payment data elements and data workflows, building product dashboards, and providing data insights to the payments product stakeholders. , They will be a dynamic and flexible partner to our stakeholders – able to build and maintain meaningful and insightful reports that will help steer the business and facilitate decision-making, as well as take the lead on projects as needed
Works independently on data collection and preparation.
Uses their past experience and seeks for help in complex scenarios to translate business problems into data stories
Maintains and drives key reports, metrics and workflows running within their scope
Is able to communicate results and outcomes clearly to stakeholders based on their knowledge and experience.
Communicates effectively, collaboratively and challenges constructively to create rapport and establish trust
Actively participates in business and/or analytics team activities and suggests ways of achieving objectives (standup, planning meeting, retrospectives)
Networks and proactively connects with craft peers beyond the team scope
Uses previous knowledge and experience on data analysis and visualization to answer business questions in the most efficient way
Is aware and has experience working in our experimentation culture, process and results interpretation
Is aware of statistical models used within their scope
Collaborates and is open to giving and receiving feedback with peers and direct stakeholders.
Is flexible in adopting and proposing new approaches and expanding their technical competencies when a more efficient way presents itself
Expected to get significant deep knowledge about the operational, tactical and strategic workings of the department. Has a main focus on business and technical opportunities
Supports the technical development of other team members
Advanced knowledge of SQL
Knowledge and experience with Python
Experience with Spark a plus
Expert in handling raw data and understanding data validation techniques
Knowledge and experience using data analysis and visualization tools (e.g.: tableau, data studio, powerbi, mixpanel, etc.)
Knowledge of Git
Experience with building or maintaining data pipelines and related tools (oozie, argo, airflow)