Job Details

Data Operations Analyst (SOFTWARE COMPANY)

Austin, United States
  • Employment Type: Direct Hire
Are you looking to grow your analytical and problem-solving skills in e-discovery? Our client, an innovative and expanding e-discovery software company, is hiring multiple Data Operations Analysts to join their team in their Austin, Texas headquarters. In this role you will consult with customers to prepare data for legal review in our e-discovery platform, will provide assistance to end-users throughout the legal discovery process, and will troubleshoot technical issues. The Data Operations Analyst will coordinate the processing, loading, and exporting of data to and from our e-discovery platform along with troubleshooting data issues encountered while working with unstructured data (email, office documents, chats) and structured data (production data). The successful candidate will have experience with technical troubleshooting skills to understand and address data file issues, to identify and navigate network problems, and to diagnose various technical issues along with advanced skills in Excel including VLOOKUPs, macros, and using formulas to manipulate data. Resumes to [email protected].

Your Impact:
  • You will be part of a technical team who works closely with our clients on all aspects of matter management, data processing, and data manipulation
  • You will work on challenging projects with complex data that requires advanced data analysis and manipulation using industry standard tools
  • You will work closely with our product and engineering teams by providing feedback on technical issues and submitting feature requests on behalf of our clients
What You'll Be Doing:
  • Coordinate the processing, loading, and exporting of data to and from our e-discovery platform
  • Troubleshoots data issues encountered while working with unstructured data (email, office documents, chats) and structured data (production data)
  • Prioritizes workload assignments and communicates job status and potential issues to internal and external stakeholders
  • Manipulates incoming load files to meet company’s ingest specifications
  • Performs thorough quality control and validations on all assigned tasks prior to delivery
  • Creates custom data productions that conform to client technical specifications
  • Facilitates the administration and tracking of client data and performs periodic audits of the same to ensure that the company is in-line with the client’s case requirements and data retention policies
  • Accurately logs and classifies issues to provide complete information for Engineering interventions, product improvements, reporting, and other needs
  • Handles multiple projects and priorities in a highly time-sensitive environment
  • Proactively contributes to improvements in our product and related documentation
  • Adheres to company policies and procedures for creating, updating, and resolving tickets; proactively monitors open tickets in Salesforce, contacts customers, and provides updates in a timely manner
  • Displays professionalism, quality service, and a "can do" attitude to internal members/departments of the company as well as external clients and vendors via written and verbal communication
Experience:
  • Technical troubleshooting skills to understand and address data file issues, identify and navigate network problems, and diagnose various technical issues
  • 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: in Technology, Business, Legal or related fields; or significant relevant experience
Preferred Experience:
  • 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
  • Some experience in e-discovery or digital forensics data processing with a general understanding of the e-discovery lifecycle and related data processing standards and concepts, including data processing, data deduplication, de-nisting, imaging, metadata extraction, load files, and data migration across e-discovery platforms
  • Strong interest in technology with excellent problem-solving skills, with initiative to research and craft creative technical solutions
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