About this role
Responsibilities
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Technical Implementation & Development
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Produce advanced data analysis using SQL, Python, PowerBI, and Metabase following best practices
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Independently plan and develop data product features with minimal direction
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Quantify end-to-end customer journey using advanced analytical techniques to increase conversion
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Analyze user behavior patterns, conversion funnels, and customer segmentation
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Dashboard & Report Development
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Define complex business problems from technical and analytical perspectives
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Translate business requirements into comprehensive BI solutions (interactive dashboards, automated reports)
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Build and maintain automated reporting solutions delivering consistent, timely insights
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Develop analytical frameworks and methodologies independently
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Data Communication & Presentation
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Communicate and storytell results to stakeholders effectively, driving understanding and action
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Create proactive business insights and share actionable recommendations influencing strategy
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Build strong relationships with stakeholders across different business units
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GenAI & ML Experience
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Proven expertise in Machine Learning & ML-Ops is a big plus
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Experience working with LLM implementation and quality management is strongly preferred
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AWS Bedrock hands-on experience and/or similar experience is a major plus
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Project Coordination & Delivery
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Act as key point of contact for specific markets organizing data-related project pipelines
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Coordinate with data engineering, development, and product teams defining data requirements
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Proactively ensure and govern data quality across datasets
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Troubleshoot complex data quality issues, identifying root causes and scalable solutions
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Data Quality Management & Monitoring
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Monitor data quality metrics and alert senior team members to potential issues requiring investigation
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Contribute to data quality improvement initiatives by i