Data Operations Analyst

• Coordinate the processing, loading and metadata overlay of unstructured (email, office documents, etc.) and structured data (load file and production data) to and from our ediscovery platform.
• Remediating exceptions to unstructured data and structured data that are covered by standard exception handling procedures.  
• Escalation of data issues encountered while working with unstructured data and structured data that are not covered by standard exception handling procedures.
• Perform thorough quality control and validations on all assigned tasks prior to delivery.
• Prioritize workload assignments and communicate job status and potential issues to internal and external stakeholders.
• Accurately log and classify issues to provide complete information for Engineering interventions, product improvements, reporting, and other needs within DISCO.
• Manage multiple projects and high priority initiatives with competing and impending deadlines.
• Proactively contribute to product improvements and related documentation.
• Adhere to company policies and procedures for creating, updating and resolving tickets.
• Proactively monitor open tickets in Salesforce, contact customers and provide updates in a timely manner.
• Displays professionalism, quality service and a "can do" attitude to internal members/departments of DISCO as well as external clients and vendors via written and verbal communication.

• Attention to detail, strong organization, and client-service orientation skills.
• Advanced skills with Excel (vlookups, macros, etc.). Experience using formulas in Excel to manipulate data.
• Strong communication skills (written and verbal) in order to interact effectively with coworkers and clients.
• Ability to accurately determine a client’s requirements and take ownership of client requests.
• Bachelor's Degree: preferred in Technology, Business, Legal or related fields; or significant relevant experience…
• Flexibility to work a regular shift that may be outside of standard M-F 9a-5p business hours or on weekends.

• Knowledge of various data storage methodologies, data collections, data processing and methods of electronic production.
• Strong understanding of relational databases such as SQL or MS Access.
• 1+ year of ediscovery or digital forensics data processing experience with a general understanding of the ediscovery lifecycle and related data processing standards and concepts, including data processing, data deduplication, de-nisting, imaging, metadata extraction, load files, and data migration across ediscovery platforms.
• Strong interest in technology with excellent problem-solving skills, with initiative to research and craft creative technical solutions.

Perks of DISCO...

• Open, inclusive, and fun environment
• Competitive salary plus discretionary bonus
• Opportunity to be a part of a startup that is revolutionizing the legal industry
• Growth opportunities throughout the company