Posted:1 day ago|
Platform:
Work from Office
Full Time
Good analytical and problem solving skills
Good knowledge of Python and analytical tools/libraries
Apply statistical methods and techniques to analyze data and derive meaningful insights. Conduct hypothesis testing, correlation analysis, and regression analysis using Pythons statistical libraries
Create reports, dashboards, and data visualizations using tools like Tableau, Power BI, or Dash. Automate report generation and scheduling using Python scripts.
Ensure the accuracy, completeness, and reliability of data through data validation and quality assurance processes. Identify and address data anomalies, errors, and inconsistencies.
Collaborate with cross-functional teams including data engineers, business analysts, and stakeholders to understand business requirements and deliver actionable insights. Communicate analysis findings and recommendations effectively to technical and non-technical audiences.
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