Are you a skilled Data Analyst with a passion for technology and a consultative mindset? We’re looking for a talented professional to join our team! This role is primarily remote, with an initial in-office orientation.
Key Qualifications:
- Strong technical skills in Python/RStudio.
- Experience working in a legal or law firm environment (a must-have).
- A consultative and curious approach to your work.
- Familiarity with Power BI is a nice-to-have.
Responsibilities:
- Develop and maintain efficient ETL pipelines using tools like Airflow to streamline data processing and workflow automation.
- Perform data analysis with Python (or RStudio) to derive actionable insights from large, complex datasets.
- Apply statistical techniques to interpret data and support informed decision-making.
- Collaborate with stakeholders to understand business needs and translate them into data-driven solutions.
- Create clear, impactful visualizations and presentations to communicate findings to both technical and non-technical audiences.
- Ensure the accuracy and reliability of analyses by continuously monitoring data quality and integrity.
- Manage workload effectively to meet tight deadlines and deliver high-quality results.
Qualifications:
- 8+ years of experience in data analytics, preferably in a similar environment.
- 3+ years of experience building and managing ETL pipelines, with Airflow experience preferred.
- 5+ years of experience in statistical analysis, particularly with T-Tests.
- 5+ years of experience using Python (or RStudio) for data manipulation and analysis.
- Proficient in SQL, with the ability to write complex queries and optimize database performance.
- Experience with Linux server administration and Docker containerization.
- Strong communication and presentation skills, with the ability to simplify complex data for diverse audiences.
- Proven ability to work independently and collaboratively in a fast-paced environment.
- Bachelor's degree in a technical or quantitative field (e.g., Engineering, Computer Science, Mathematics, Statistics, Economics).