Senior Data Analyst - ETL & Statistical Analysis Expert
Description
We are seeking a skilled Data Analyst to join our dynamic Data Analytics team. This position is available in several locations, including Dallas, Houston, Chicago, Baltimore, Charlotte, Raleigh, Richmond, Washington DC, Tysons, Pittsburgh, San Francisco, and Los Angeles...
In this role, you will apply your strong technical skills in Python or RStudio, combined with a consultative and inquisitive approach to your work. You will be part of a team focused on three key service areas: client-facing data analytics, legal operations, and internal improvements aimed at enhancing legal services, firm operations, technology adoption, and financial efficiency.
We are committed to diversity and inclusion, shaping our recruitment, retention, and promotion practices to better serve our clients. Alongside a competitive benefits package, we offer a hybrid remote work option to support a flexible and balanced work-life environment.
Responsibilities
Develop and maintain robust ETL pipelines, utilizing tools like Airflow for efficient data processing and workflow orchestration.
Perform data analysis using Python or RStudio to derive actionable insights from complex datasets.
Apply statistical methods to interpret data and support decision-making processes.
Collaborate with stakeholders to understand business requirements and translate them into effective analytical solutions.
Create clear and engaging visualizations and presentations to convey findings and recommendations to non-technical audiences.
Deliver high-quality results within tight deadlines while ensuring data quality and integrity.
Qualifications
8+ years of experience in data analytics, preferably within a legal firm or similar environment.
3+ years of experience in developing and managing ETL pipelines, ideally using Airflow.
5+ years of experience in statistical analysis, including T-Tests.
5+ years of experience with Python or RStudio for data manipulation and analysis.
Strong SQL skills with the ability to write and optimize complex queries.
Experience with Linux server administration and Docker container management.
Excellent communication and presentation skills, with the ability to simplify complex findings into actionable insights.
Ability to work both independently and collaboratively in a fast-paced environment.
Proven agility and effectiveness under tight deadlines.
Bachelor's degree in a technical or quantitative field (Engineering, Computer Science, Mathematics, Statistics, Economics, or related sciences).
Have questions? Feel free to connect with us directly.
Employment Type: Full-Time
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