Data Analyst

• Data Analysis: collect, process, and analyze data to identify patterns, trends and opportunities. Prepare scenario studies and business diagnostics. Support teams in measuring results, identifying opportunities and patterns. Define performance indicators (KPIs). Apply advanced statistical methods, such as clustering and probability distributions.
• Report Generation and Insights: prepare reports, dashboards and presentations with actionable insights to support decision-making.
• Development of Complex Analyses: apply advanced statistical methods.
• Collaboration with Other Areas: work closely with business teams to ensure alignment on analyses. Interact with different roles across the data pipeline.
• Product Development: monitor product development from conception to production results.
• Data Strategy Management: maintain documentation to manage the data strategy, including democratization, governance and quality. Contribute to technical and business evolution.
• Request Handling: assist in addressing requests with analyses and data extractions. Prioritize the pipeline, align with stakeholders and raise technical needs.
• Mentoring and Training: organize training sessions and mentorships for less senior analysts.
• Broad, Product- and Business-Oriented Perspective: help in understanding and building relevant data solutions and studies.
• Application of Best Practices: apply best practices and knowledge to promote a data-driven culture and usage of data.
• Participate in data processes for product development, from conception to monitoring production results and their indicators (upstream and downstream).
• Take ownership of continuous improvements in the data structure, connected with the central team, engineering and product teams.

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