Data Analyst

Please send a resume should you be interested in the following Data Analyst position located in various locations. This is a Full Time/Direct Hire position. If you’re not interested, please pass it along to your colleagues as we do pay referral fees.

Job Title: Data Analyst

Location: Must be local to one of the following locations – Atlanta, GA | Austin, TX | Baltimore, MD | Charlotte, NC | Charlottesville, VA | Chicago, IL | Dallas, TX | Houston, TX | Jacksonville, FL | Los Angeles, CA | New York, NY | Norfolk, VA | Pittsburgh, PA | Raleigh, NC | Richmond, VA | San Francisco, CA | Tysons, VA | Washington D.C. 

Job Type: Full Time/Direct Hire

Salary: $130-140K depending on experience

Work Schedule: Hybrid Schedule

Degree Required: Yes – Bachelors Degree

Visa Sponsorship / 3rd Party C2C: NO

**MUST HAVE Data Analytics experience from a law firm environment.

Job Description:

Our client is seeking a Data Analyst to join the Data Analytics team. The ideal candidate will have strong technical skills in Python/RStudio and approach their work with a consultative and curious mindset. The candidate will be working with client-facing, client-billable data analytics and legal operational analytics.

Responsibilities

• Develop and maintain robust ETL pipelines, leveraging tools such as 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.

Qualifications

• 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).