DATA ENGINEER

UARROW PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading technology firm in Singapore is seeking a candidate to lead AI integration initiatives. You will analyze business processes, facilitate workshops, and mentor junior analysts, ensuring accurate data analysis and effective communication of insights through dashboards. This role requires strong collaboration skills and experience with various analytical tools.

Qualifications

• Experience in facilitating workshops and managing cross-functional meetings.
• Proven ability to conduct data analysis for AI model readiness.
• Mentorship experience with junior analysts.

Responsibilities

• Lead workshops to gather business requirements.
• Analyze business processes for AI integration.
• Mentor junior analysts and ensure data accuracy.
• Create dashboards and visualizations to present insights.

Skills

Workshop facilitation

Data analysis

AI integration

Predictive analytics

Data visualization

Tools

SAP

Python

SQL

Power BI

Job description

• Lead and facilitate workshops and cross‑functional meetings to gather business requirements and define solution approaches.
• Analyze current business processes to identify AI integration opportunities.
• Collaborate with business sponsors, product managers, data scientist, technology partners to realize business needs into actual solution.
• Conduct data analysis to support decision‑making and validate AI model readiness.
• Familiar with associative data modeling, predictive &text analytics, classification, data exploration, summarization.
• Work with relevant stakeholders to develop use‑case benefits explanation, business requirement documents (BRDs), process maps, data dictionaries, client journey, user stories, etc.
• Mentor and manage junior analysts, fostering a culture of continuous improvement and innovation.
• Collect, cleanse, and validate data from various sources to ensure accuracy and reliability.
• Perform exploratory data analysis to uncover trends, patterns, and anomalies.
• Create visualizations and dashboards to communicate insights effectively to stakeholders.
• Derive actionable insights to support strategic decision‑making and AI model development.
• Collaborate with data scientists and IT teams to ensure data readiness and integration.
• Coordinate with cross‑functional teams to ensure alignment and timely delivery.
• Prepare and present status updates, dashboards, and executive summaries to stakeholders.
• Provide thought leadership and innovative strategy for wholesale banking (across Payments, Trade, Credit Management and Operational Productivity).

Deliverables

• Process Flow Diagrams and Maps
• AI Readiness Assessments
• Data Dictionaries and Analysis Reports
• User Stories and Acceptance Criteria
• Project Plans, Risk Logs, and Status Reports

Tools & Platforms

• SAP, Oracle, SQL, Python
• Jira, Confluence, Atlassian Intelligence
• FIRCOSOFT, ACTIMIZE, MOODY’S
• CrewAI, Amplitude, Power BI