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Data Analyst

2 months ago

Harkers Island, North Carolina, United States McGuireWoods Full time
About the Role

McGuireWoods is seeking a skilled Data Analyst to join our Data Analytics team. This position is available in multiple offices across the United States. The ideal candidate will have strong technical skills in Python/RStudio and a consultative mindset.

Key Responsibilities
  • Develop and maintain robust ETL pipelines using Airflow to ensure efficient data processing and workflow orchestration.
  • Perform data analysis using Python (or RStudio) to extract actionable insights from complex datasets.
  • Apply statistical methods to interpret data and support decision-making processes.
  • Collaborate closely with stakeholders to understand business requirements and translate them into analytical solutions.
  • Create clear and compelling visualizations and presentations to communicate findings and recommendations to non-technical audiences.
  • Work effectively under tight deadlines to deliver high-quality results within specified timeframes.
  • Continuously monitor data quality and integrity to ensure accuracy and reliability of analyses.
Requirements
  • 8+ years of data analytics experience in a legal firm or similar environment.
  • 3+ years of experience in developing and managing ETL pipelines, preferably using Airflow.
  • 5+ years of experience in statistical analysis, particularly with T-Tests.
  • 5+ years of experience in Python (or RStudio) for data manipulation, and analysis.
  • Strong SQL skills with the ability to write complex queries and optimize performance.
  • Experience with Linux server administration and Docker container management.
  • Excellent communication and presentation skills, with the ability to distill complex findings into clear, actionable insights.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Demonstrate agility and effectiveness under tight deadlines to deliver high-quality results within specified timeframes.
  • Requires a Bachelor's degree in a technical or quantitative field (Engineering, Computer Science, Mathematics, Statistics, Economics, other Sciences).