Job Description

Job Responsibilities:

• Collect data from products across the company (Search, messages, Instagram, ads etc.) for use in legal matters
• Automate analyses and author pipelines via SQL and Python based ETL framework
• Build dashboards to bring your pipelines to life for non-technical partners
• Stay up to date on new structured data sources within the Company as they are developed and help non-technical partners understand the use and content of these sources
• Create and maintain internal documentation on pipelines, tools, data sets
• This is a highly collaborative and cross-functional role:
• Partner with lawyers across the Legal department to understand their data needs
• Partner with economic consultants to develop product and financial models
• Partner with data science teams to ensure accuracy of analyses
• Partner with infrastructure and data engineers to manage large data sets effectively

Skills:

• 3+ years’ experience doing quantitative analysis
• SQL, Excel, and data analysis experience
• Python/R scripting experience
• Experience with distributed computing (Hive/Hadoop)
• Experience with Unix/Linux
• Experience initiating and driving projects to completion with minimal guidance
• Experience working cross-functionally and communicating technical content to general audiences
• Experience in Legal, eDiscovery, or Information Governance
• Prior work or support experience in legal or information governance functions is preferred.
• Ability to Manage Increasing Workload and Complexity
• Capacity to supplement existing team efforts and handle growing volume and complexity of cases.
• PHP Experience

Education/Experience:

• Bachelor’s degree in a Quantitative or Technical field

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