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Responsibilities: Use SQL to analyze, hypothesize, and solve complex business challenges while identifying and visualizing opportunities for growth.Work with Business Intelligence (BI) tools such as Looker and Superset to build dashboards and visual reports.Extract and report data using efficient database queries with a focus on cloud data platforms, pipeline automation, and scalable analytics solutions.Apply statistical modeling and prediction techniques to derive actionable insights that support decision-making.Demonstrate a strong research-oriented and problem-solving mindset with curiosity for uncovering data-driven insights.Work independently with minimal supervision and communicate findings effectively to both technical and non-technical stakeholders.Perform data cleaning, transformation, and validation using tools such as Excel, Python, or R.Collaborate with cross-functional teams and stakeholders to define key performance metrics and deliver meaningful insights.Design, implement, and evaluate A/B tests using statistical methods to measure business impact.Present findings through clear, impactful data visualizations and presentations for diverse audiences.Maintain high data integrity and accuracy by following best practices in data governance, documentation, and process management.Benefits: Supportive environment encouraging personal growth and passion pursuits.Programs and benefits designed to support holistic employee health.Flexible working hours and schedules.Opportunities for career growth, learning, and professional development.Additional perks and benefits available across all locations. .