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- Extract, clean, and prepare data from structured and unstructured sources for analysis.
- Analyze large datasets to identify trends, correlations, and anomalies.
- Develop interactive dashboards and data visualizations using tools such as Power BI, Tableau, or Qlik.
- Conduct exploratory data analysis (EDA) to support key business initiatives.
- Write efficient SQL queries for data extraction, manipulation, and analysis.
- Work closely with business stakeholders to understand requirements and deliver data-driven solutions.
- Present analytical findings and insights through clear reports and visual storytelling.
- Apply statistical techniques and predictive models using Python, R, or SAS (preferred but optional).
- Ensure data quality, consistency, security, and compliance across all analytical outputs.
- Support the development and maintenance of data documentation, best practices, and data governance strategies.
Skills Required:
- Strong proficiency in SQL for data manipulation and querying
- Solid understanding of data analysis, EDA, and visualization techniques
- Experience in working with large datasets and reporting tools
- Knowledge of Python for data analysis and modeling
- Experience with BI tools like Power BI, Tableau, or Qlik
- Exposure to statistical analysis or machine learning techniques
Education : Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
Seniority level
Employment type
Job function
Job function
Information TechnologyIndustries
IT Services and IT Consulting
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Analyst - Data Analysis and Governance [T500-18626]
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