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Senior Data Analyst

Posted 2024-09-22

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💎 Seniority level: Senior, 5+ years

📍 Location: Latin America, EST

🔍 Industry: Education, Data Analytics

🏢 Company: Correlation One

⏳ Experience: 5+ years

🪄 Skills: LeadershipPythonSQLBusiness IntelligenceData AnalysisGCPTableauStrategyBusiness OperationsData analysisData scienceCollaboration

Requirements:
  • 5+ years of experience in Data Analysis, Business Intelligence, or Data Science roles, with a focus on delivering insights that drive business outcomes.
  • Advanced expertise in SQL and relational databases.
  • Proficiency in data visualization tools such as Tableau or similar platforms.
  • Extensive experience with data manipulation and visualization in Python.
  • In-depth knowledge of cloud-based data environments (GCP preferred) and understanding of OLAP/OLTP systems.
  • Proven experience communicating complex data insights and strategic recommendations to both technical and non-technical audiences, including executive leadership.
  • Strong leadership skills, with the ability to mentor junior team members and guide analysis efforts across the organization.
  • Ability to drive strategy and influence business decisions through actionable insights.
  • Excellent problem-solving skills, with a proactive and resourceful approach to overcoming challenges.
  • Strong organizational and multitasking skills, with the ability to prioritize and manage multiple complex projects independently.
  • Passion for learning new technologies and continuously improving data analysis methodologies.
Responsibilities:
  • Lead cross-functional collaboration to translate complex business requirements into comprehensive data analysis projects.
  • Mentor and provide guidance to junior data analysts, teaching best practices in data analysis and reporting.
  • Write and execute advanced SQL queries from diverse data sources for in-depth analyses.
  • Proactively uncover trends, stories, and insights that will inform business strategy and drive decision-making at the highest levels.
  • Use insights to craft and deliver strategic recommendations aimed at improving business operations, growing programs, and enhancing external partnerships.
  • Develop and maintain advanced analytical reports, dashboards, and visualizations, ensuring data accuracy and clarity for all stakeholders.
  • Present data-driven insights and strategic recommendations to senior leadership, clients, and external partners in a compelling and accessible format.
  • Lead the operationalization and automation of data analysis processes, ensuring scalability and efficiency in delivering insights.
  • Perform advanced ad-hoc analyses, identifying opportunities for business improvement and growth.
  • Provide expertise in data governance and ensure data quality and integrity across all projects.
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