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# Matillion ETL Data Analytics Specialist - ONSITE

- **Company:** NTT America, Inc.
- **Location:** San Diego, CA, United States
- **Experience:** Experienced
- **Salary:** $121,000.0 - $131,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Analysis, JIRA, Microsoft Azure, Cloud Computing, Databases, Data Integration, Extract Transform Load (ETL), Data Warehousing, IBM Cognos Business Intelligence, Power BI, Tableau (Software), Snowflake, Servicenow
- **Published:** October 14, 2026
- **Apply:** https://www.beyondsandiego.com/job.asp?id=3445753952&tx=DT10596UYT&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 5+ years of production/application support experience in enterprise Analytics environments.
 * 5+ years of working experience in Matillion, Cognos, Power BI, Tableau and MDM.
 * 5+ years of experience in BI reporting, ETL/ELT, data warehouses and data integration.
 * 2+ years of working experience in any cloud analytics environments such as AWS, Azure, Snowflake or equivalent platforms.
 * 3+ years of experience in incident, problem, request and change-management experience.

Additional Skills:

 * Understanding of ITIL-based service-management practices.
 * Minimum 3 years of experience experience with ticketing/service-management platforms such as ServiceNow, Jira Service Management or equivalent.
 * Strong SLA and KPI management skills.
 * Ability to manage P1/P2 incidents and executive/business escalations.
 * Strong analytical and troubleshooting skills.
 * Excellent written and verbal communication.
 * Minimum 3 years of experience coordinating onsite/offshore delivery teams.
 * Ability to translate technical issues into understandable business communication.

## Description

* Act as the primary onsite point of contact for Analytics, BI, ETL and MDM production support.
 * Lead support activities across Matillion, Cognos, Power BI, Tableau and MDM platforms.
 * Coordinate between end users, business stakeholders, offshore support teams, infrastructure, database, cloud and application teams.
 * Own daily operational health and ensure critical issues receive appropriate attention.
 * Conduct daily support reviews covering open incidents, aging tickets, SLA risks, production failures and business-impacting issues.
 * Provide clear ownership and escalation paths for production issues.
 * Ensure effective handoffs between onsite and offshore teams.
 * Participate in major incident and business-critical production issue management.
 * Serve as the first escalation point for business users experiencing analytics or reporting issues.
 * Understand the user's business impact rather than treating requests purely as technical tickets.
 * Maintain proactive communication with users throughout the ticket lifecycle.
 * Set realistic expectations regarding investigation and resolution timelines.
 * Confirm resolution with users before closure where appropriate.
 * Identify recurring user issues and develop FAQs, knowledge articles, training material and self-service guidance.
 * Conduct periodic user feedback sessions to identify service improvement opportunities
 * Own and monitor service-level performance for the Analytics support function.