Data Insights Specialist
1 week ago
McGuireWoods LLP is a leading international law firm that provides legal solutions to corporate, individual, and nonprofit clients. With a rich history dating back to 1834, the firm is committed to delivering exceptional service and results-driven advice.
Job SummaryWe are seeking a highly skilled Data Analyst to join our Data Analytics team. As a Data Analyst, you will play a critical role in helping us drive business growth and improve operational efficiency through data-driven insights.
Key Responsibilities- Develop and Maintain ETL Pipelines: Design, implement, and maintain robust ETL pipelines using tools like Airflow to ensure efficient data processing and workflow orchestration.
- Data Analysis and Insights: Perform data analysis using Python (or RStudio) to extract actionable insights from complex datasets, applying statistical methods to interpret data and support decision-making processes.
- Collaboration and Communication: Work closely with stakeholders to understand business requirements and translate them into analytical solutions, creating clear and compelling visualizations and presentations to communicate findings and recommendations to non-technical audiences.
- Quality Assurance: Continuously monitor data quality and integrity to ensure accuracy and reliability of analyses, working effectively under tight deadlines to deliver high-quality results within specified timeframes.
- 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).
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