Job Description Data Strategy & Analysis: - Develop and maintain scalable data models, pipelines, and dashboards to consolidate information from multiple sources (AWS DWH, Google Sheets, and other systems). - Conduct deep-dive data analysis and create predictive models to support decision-making processes. - Design and execute A/B experiments to measure the impact of strategic initiatives. - Monitor key KPIs, analyze trends, and provide actionable insights to business leaders. Data Governance & Infrastructure: - Collaborate with data owners and cross-functional stakeholders to ensure data reliability, governance, and accessibility. - Identify and implement solutions for data quality and availability gaps. - Evaluate alignment with Data Mesh principles, supporting decentralized data ownership while maintaining overall data integrity. Collaboration & Stakeholder Engagement: - Partner with several teams and areas to define and improve ETL processes, data warehouse architecture, and automation workflows. - Educate stakeholders on data best practices, enabling them to make data-driven decisions. - Serve as a bridge between technical and non-technical stakeholders, translating business needs into analytical solutions. Requirements: - 3-5 years of experience in data analytics, business intelligence, or a related field. - Strong expertise in SQL & PostgreSQL for querying and data modeling. - Strong experience with Looker Studio and the G Suite. - Soft Skills: Strong communicator with the ability to convey data insights to both technical and non-technical audiences; Effective collaborator, working closely with cross-functional teams to turn data into action. - Upper-Intermediate English level. Benefits: - Professional growth and mentorship opportunities. - Competitive compensation and benefits packages. - A selection of exciting projects with modern solutions development and top-tier clients. - Flextime and work-life balance options.