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Senior Data Analyst

Posted 2024-11-14

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💎 Seniority level: Senior, 4+ years

📍 Location: India

🏢 Company: Encora

⏳ Experience: 4+ years

🪄 Skills: AWSPythonSQLData AnalysisETLGitTableauData analysisData scienceCommunication Skills

Requirements:
  • Bachelor's or Master's degree in Computer Science, Information Technology, Statistics, Data Science, or a related field.
  • Strong experience in SQL, including complex queries, joins, and aggregations, to manipulate and analyze large datasets.
  • Proven experience with AWS QuickSight, Tableau, or similar data visualization tools to create compelling, interactive dashboards and reports.
  • Basic proficiency in Python for scripting and automating data workflows and analysis tasks.
  • Experience working with cloud-based data environments, preferably AWS, and understanding of data warehousing concepts.
  • Strong analytical and problem-solving skills with the ability to interpret and present data insights clearly and effectively.
  • Excellent communication skills, with the ability to collaborate with both technical and non-technical teams.
  • Knowledge of data pipelines, ETL processes, and data integration best practices is a plus.
  • Ability to work independently, manage multiple tasks, and meet deadlines in a fast-paced environment.
Responsibilities:
  • Perform complex data analysis using strong SQL skills to extract, manipulate, and transform large datasets.
  • Develop, maintain, and optimize interactive data visualizations using AWS QuickSight and Tableau to provide actionable insights for business stakeholders.
  • Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions that align with organizational goals.
  • Provide basic Python scripting to automate data workflows, enhance reporting processes, and support ad hoc analysis requests.
  • Generate clear and concise reports, dashboards, and presentations to communicate data insights effectively to both technical and non-technical stakeholders.
  • Assist in data modeling, data cleansing, and integrating data from multiple sources to ensure accuracy and consistency across reports and visualizations.
  • Continuously evaluate and enhance data analysis methodologies and visualization tools to improve efficiency and accuracy.
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