Data Onboarding & Support Analyst

TransUnion

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What We’ll Bring:

TransUnion is looking to hire a Data Onboarding & Support Analyst to join our Data Operations team in Costa Rica. The ideal candidate will drive an engaged, service-oriented culture, love people interactions, and be capable of meeting tight deadlines in a fast-paced environment.

As part of the Data Operations Team, this position should focus on delivering actionable insights to evaluate and control data ingestion processes across multiple sources (Cloud and On-Prem). This individual will leverage state-of-the-art tools to cultivate the analytical methods needed to consistently refine and improve the efficiency and effectiveness of data onboarding processes.

In this role, you will be responsible for acting as an OneTru Platform subject matter expert and an expert of the processes that you will be involved in, along with being able to gather knowledge and requirements from other SMEs and stakeholders.

What You’ll Bring:

What You’ll Bring:

  • Bachelor’s degree or equivalent experience in Statistics, Industrial Engineering, Admin or a related field.
  • Five years of proven experience as a client facing support role, help desk technician or other customer support role.
  • Strong client-facing experience as a data engineer/consultant.
  • Great stakeholder management skills, negotiation skills.
  • Excellent communication and writing skills in English and Spanish.
  • Ability to work independently and in a team environment.
  • Exceptional analytical and problem-solving skills to troubleshoot, diagnose and propose preventive plans to avoid similar issues in the future.
  • Ability to learn quickly, work under pressure, and meet tight deadlines.
  • Flexible, highly organized, and open to feedback with excellent follow-through skills.
  • Imaginative, thorough, practicable, and consistent with organization objectives solutions proposal.

We’re also looking for the preferred skills below:

  • Experience with support Ticket Systems (Jira).
  • SQL – Advance Knowledge.
  • Experience collaborating with senior-level executives (VPs) and senior stakeholders.
  • Experience with Cloud Storage Environments such as AWS and GCP.
  • Experience with Spark (Spark-Shell, Spark SQL).
  • Experience with Linux/Unix, nice to have.
  • Proficient knowledge using shell scripting (Linux and/or Python), nice to have.
  • ITIL, Scrum, UNIX, and/or ITSM certification, nice to have.
  • Project Management experience, nice to have.

Impact You’ll Make:

  • This role reports directly to Data Operations Management.
  • Identify, analyze, and troubleshoot possible data flow issues between servers and processing steps.
  • Document user requests and update client trouble tickets with the status of the issue.
  • Communicate effectively with IT and non-IT people within the company and be able to make informed decisions quickly.
  • Find and solve data problems, ensuring timely short-term and long-term preventive solutions.
  • Coordinate with other teams or specialists to troubleshoot and resolve issues as needed.
  • Handle escalations.
  • Develop and improve existing processes to ensure data ingestion through the OneTru Platform.
  • Work with management and teammates to prioritize business and information needs.
  • Train, coach, or assist less experienced team members.
  • Work independently within established procedures associated with the specific job function.
  • Create appropriate support documentation and knowledge base to help all users quickly troubleshoot problems.
  • Deliver excellent customer support through efficiently and accurately handling tickets/requests and general program inquiries.
  • Perform other work-related tasks and responsibilities assigned to you from time to time.
  • Participate in new products and features deployment and propose technical solutions that meet business needs.

This is a remote position which may require occasional in-person attendance at work-related events at the discretion of management.

TransUnion Job Title

Consultant, Data Analysis

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