Marketing Specialist (Data AnalyticsX Product)

Job Summary

AnalyticX and Data Business Product Specialist

Job Responsibilities

• Business Requirement Analysis Gather and analyze customer business objectives, pain points, and decision needs, and translate them into feasible, and scalable requirements deliverable through AIS Cloud, leveraging bundled analyticX data for competitive advantage.
• Data Platform Solution Design Design E2E solution architecture of analyticX and other data-related and AI workload on AIS Cloud, defining cloud deployment models, data flows, and analytics layers, to ensure solutions are scalable, secure, and commercially viable.
• Service Delivery and Implementation Lead hands-on delivery of analyticX solutions on AIS Cloud by driving deployment, validation, and service readiness to ensure stable operation, customer acceptance, and successful commercial go-live.

Qualifications

• 3–6 years of experience in roles such as Data Analyst, Solution Architect, Technical Presales, Data Platform Specialist, or Analytics Product Specialist
• Bachelor’s or Master’s degree in Engineering, Computer Science, Data Science, Information Systems, or related STEM fields
• Strong experience in business requirement gathering with the ability to identify customer pain points, decision needs, and translate them into practical, deliverable data solutions
• Hands-on experience in designing data or analytics solutions on cloud platforms (e.g. Oracle, AWS, GCP), including understanding of data ingestion, processing, analytics, and delivery layers. Experience with Oracle Cloud / Oracle Alloy or enterprise cloud environments is preferrable
• Ability to work with cloud, data engineering, and platform teams to validate solution feasibility, scalability, security, and cost considerations
• Solid understanding of data analytics concepts, including data modeling, analytical logic, and interpretation of insights for business decision-making
• Proficient in SQL and familiar with Python or similar tools for data exploration and solution validation
• Experience supporting technical presales, solution walkthroughs, or customer-facing discussions related to analytics or data platforms