Data Management Analyst (Remote)

at  KLDiscovery

Polska, , Poland -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate30 Oct, 2024Not Specified31 Jul, 2024N/AData Manipulation,Scripting,Computer ScienceNoNo
Add to Wishlist Apply All Jobs
Required Visa Status:
CitizenGC
US CitizenStudent Visa
H1BCPT
OPTH4 Spouse of H1B
GC Green Card
Employment Type:
Full TimePart Time
PermanentIndependent - 1099
Contract – W2C2H Independent
C2H W2Contract – Corp 2 Corp
Contract to Hire – Corp 2 Corp

Description:

KLDiscovery, a leading global provider of electronic discovery, information governance and data recovery services, is currently seeking a Data Management Analyst.
As a Data Management Analyst, you will be responsible for the validation and manipulation of data, images, and electronic files to load into both internal and external client systems. Attention to detail and strong problem-solving skills are essential and experience with e-discovery software, particularly Relativity, is advantageous. Some scripting or programming experience would be beneficial.
Working as part of the Data Management group you will be responsible for successful execution and problem solving related to advanced technical processes and procedures, resulting in high quality, timely deliverables for internal and external clients. Data Management Analysts work closely with many other teams including other analysts, project managers, and executives to ensure work requests are completed timely and accurately.

QUALIFICATIONS

  • Degree in computer science and/or relevant work experience.
  • Programming experience beneficial.
  • Experience in e-discovery would be advantageous.
  • Motivated to learn and create new and efficient processes and technologies.
  • Ability to make sound technical decisions in a fast-paced environment.
  • Methodical approach and the ability to prioritise and manage multiple tasks at one time.
  • Experience of data manipulation and scripting.

WHO WE ARE

KLDiscovery provides technology-enabled services and software to help law firms, corporations, government agencies and consumers solve complex data challenges. The company, with offices in 26 locations across 17 countries, is a global leader in delivering best-in-class eDiscovery, information governance and data recovery solutions to support the litigation, regulatory compliance, internal investigation and data recovery and management needs of our clients.
Serving clients for over 30 years, KLDiscovery offers data collection and forensic investigation, early case assessment, electronic discovery and data processing, application software and data hosting for web-based document reviews, and managed document review services. In addition, through its global Ontrack Data Recovery business, KLDiscovery delivers world-class data recovery, email extraction and restoration, data destruction and tape management.
KLDiscovery has been recognized as one of the fastest growing companies in North America by both Inc. Magazine (Inc. 5000) and Deloitte (Deloitte’s Technology Fast 500) and CEO Chris Weiler has been honored as a past Ernst & Young Entrepreneur of the Year™. Additionally, KLDiscovery is an Orange-level Relativity Best in Service Partner, a Relativity Premium Hosting Partner and maintains ISO/IEC 27001 Certified data centers.
KLDiscovery is an Equal Opportunity Employer.

LI-SM1

Responsibilities:

  • Work with internal applications and databases to export data, images, and native files from internal systems to a required format.
  • Normalize data received from third-party clients.
  • Ability to quickly learn new technologies and processes, specialise and communicate to others if required.
  • Develop and document custom procedures, processes and tools accurately recording information and communicating to others where necessary.
  • Assist with migration of data from internal and external systems ensuring data is verified.


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

Graduate

Computer Science

Proficient

1

Polska, Poland