Data Analyst (MWAccel) - Remote | WFH
We are seeking a dedicated Data Analyst to join our Data Analytics team. This position offers opportunities in various locations, including Dallas, Houston, Chicago, Baltimore, Charlotte, Raleigh, Richmond, Washington DC, Tysons, Pittsburgh, San Francisco, and Los Angeles.
If you have strong technical skills in Python or RStudio and bring a consultative and curious mindset to your work, this... could be the perfect role for you.
Our team operates across three service lines. The first focuses on client-facing and client-billable data analytics work. The second is centered around legal operations for clients. The third service line involves internal projects, such as enhancing the delivery of legal services, improving operational efficiencies, adopting new technologies, and optimizing our spending.
As a globally recognized leader in the legal field, we have a long history of delivering exceptional legal solutions to corporate, individual, and nonprofit clients. We value diversity and inclusion as key components of our business, guiding our efforts to recruit, retain, and promote talented professionals.
Alongside excellent benefits, we offer most employees a hybrid remote work option to ensure flexibility and a healthy work-life balance.
Responsibilities
Develop and maintain robust ETL pipelines, utilizing tools like Airflow to ensure efficient data processing and workflow management.
Conduct data analysis using Python (or RStudio) to derive actionable insights from complex datasets.
Apply statistical methods to interpret data and support informed decision-making.
Collaborate closely with stakeholders to understand business requirements and transform 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, delivering high-quality results within specified timeframes.
Continuously monitor data quality and integrity, ensuring the accuracy and reliability of analyses.
Qualifications
8+ years of experience in data analytics, ideally within a legal firm or similar environment.
3+ years of experience in developing and managing ETL pipelines, preferably with Airflow.
5+ years of experience in statistical analysis, with a strong focus on 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 performance.
Experience with Linux server administration and Docker container management.
Excellent communication and presentation skills, capable of translating complex findings into clear, actionable insights.
Ability to work independently and collaboratively in a fast-paced environment.
Agile and effective under tight deadlines, consistently delivering high-quality results.
Bachelor's degree in a technical or quantitative field (Engineering, Computer Science, Mathematics, Statistics, Economics, or other related fields).
If you have any questions, feel free to connect with a recruiter directly. We're here to help!
Employment Type: Full-Time
Apply Now
If you have strong technical skills in Python or RStudio and bring a consultative and curious mindset to your work, this... could be the perfect role for you.
Our team operates across three service lines. The first focuses on client-facing and client-billable data analytics work. The second is centered around legal operations for clients. The third service line involves internal projects, such as enhancing the delivery of legal services, improving operational efficiencies, adopting new technologies, and optimizing our spending.
As a globally recognized leader in the legal field, we have a long history of delivering exceptional legal solutions to corporate, individual, and nonprofit clients. We value diversity and inclusion as key components of our business, guiding our efforts to recruit, retain, and promote talented professionals.
Alongside excellent benefits, we offer most employees a hybrid remote work option to ensure flexibility and a healthy work-life balance.
Responsibilities
Develop and maintain robust ETL pipelines, utilizing tools like Airflow to ensure efficient data processing and workflow management.
Conduct data analysis using Python (or RStudio) to derive actionable insights from complex datasets.
Apply statistical methods to interpret data and support informed decision-making.
Collaborate closely with stakeholders to understand business requirements and transform 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, delivering high-quality results within specified timeframes.
Continuously monitor data quality and integrity, ensuring the accuracy and reliability of analyses.
Qualifications
8+ years of experience in data analytics, ideally within a legal firm or similar environment.
3+ years of experience in developing and managing ETL pipelines, preferably with Airflow.
5+ years of experience in statistical analysis, with a strong focus on 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 performance.
Experience with Linux server administration and Docker container management.
Excellent communication and presentation skills, capable of translating complex findings into clear, actionable insights.
Ability to work independently and collaboratively in a fast-paced environment.
Agile and effective under tight deadlines, consistently delivering high-quality results.
Bachelor's degree in a technical or quantitative field (Engineering, Computer Science, Mathematics, Statistics, Economics, or other related fields).
If you have any questions, feel free to connect with a recruiter directly. We're here to help!
Employment Type: Full-Time
Apply Now