Customer Success Service Support (Data Product Direction)

Shift Options: **5 Shift Schedules Available**

About the Role

Data Product Technical Support

• Act as the primary on-site contact for customer issues related to data products.
• Respond to and resolve technical questions involving CDP, GMP, Finder, AB Tester, DataWind, and related solutions.

Problem Diagnosis & Troubleshooting

• Investigate and resolve issues involving:
• Data collection accuracy
• Data processing workflows
• Reporting and analytics discrepancies
• Customer segmentation and tagging logic
• A/B testing configurations
• Marketing automation processes

Implementation & Solution Guidance

• Support customers with:
• Tracking plan design
• Data integration and onboarding
• Customer tagging systems
• Marketing campaign configuration
• Dashboard and analytics setup

Cross-Functional Collaboration

• Document and communicate customer issues clearly.
• Work closely with R&D, engineering, and data development teams to identify root causes and deliver solutions.

Customer Success & Enablement

• Conduct knowledge-sharing sessions and provide ongoing guidance.
• Help customers improve their use of data products and analytics capabilities.
• Drive adoption, value realization, and customer satisfaction.

Experience

• Minimum 2 years of experience in:
• Technical Support

• Data Product Implementation

• Data Analysis
• Customer Success for Data Platforms

Experience

Technical Skills

• Strong SQL skills with the ability to write complex queries.
• Understanding of Data Warehouse concepts and ETL processes.
• Experience with at least one big data technology such as:
• Hive
• Spark
• ClickHouse
• Knowledge of one or more of the following areas:

• Customer Data Management

• A/B Testing
• Marketing Automation

Experience

• with any of the following is highly desirable:
• DataFinder
• DataWind
• CDP
• GMP
• DataTester (A/B)
• GrowingIO
• Tableau
• Adobe Analytics

• Salesforce Marketing Cloud

• Similar enterprise analytics platforms

Communication & Problem Solving

• Excellent communication and stakeholder management skills.
• Ability to communicate effectively with both technical and business teams.
• Strong analytical thinking and problem-solving capabilities.

Language Requirements

• English: Fluent written and verbal communication.
• Arabic: Professional working proficiency preferred.
• Chinese: Ability to collaborate with internal teams in Chinese is a strong advantage.

• Location: Riyadh, Saudi Arabia

• Work Mode: Full-time, on-site at the customer location.
• Must be willing to collaborate closely with customer data, business, and IT teams.

On-Call Requirement

Preferred Qualifications

• Experience supporting data products from major cloud vendors such as AWS, Alibaba Cloud, Tencent Cloud, or similar.
• Experience designing and implementing customer tagging solutions.
• Familiarity with digital transformation and data analytics initiatives in the Middle East market.
• Experience delivering overseas projects or providing on-site customer support.

How to Apply