บริษัท ตงฮั้ว โฮลดิ้ง จำกัด (มหาชน) / Tong Hua Holding Public Company Limited.

ดูรายละเอียดบริษัท

Data & AI Automation Specialist

14 ส.ค. 69

สถานที่ปฏิบัติงาน

MRT หัวลำโพง

เงินเดือน

ตามตกลง

อัตรา

สมัครงาน

สนใจ

แชร์

รายละเอียดงาน

* Act as a bridge between the Collection team and the Product & Engineering team. * Understand operational pain points and translate business needs into data and automation solutions. * Identify and prioritize quick-win tools or automations that deliver measurable impact. * Continuously improve collection workflows through structured analysis and stakeholder collaboration. * Ensure timely delivery of relevant data and insights to support decision-making. * Write and maintain SQL queries to extract, analyze, and visualize key metrics. * Build and maintain dashboards for performance tracking and strategy evaluation. * Deliver clear, easy-to-use reports and insights for non-technical users, often in Excel. * Collaborate with the collection manager to align reporting formats with team goals and workflows. * Identify opportunities through data to recommend tactical adjustments and support continuous improvement. * Design and build AI-powered automations by collaborating with engineers or using low-code tools * Develop internal AI agents that assist with: * Generating reports and summaries * Answering natural language data queries * Segmenting accounts for targeted follow-ups * Generating predictive insights to support collection strategy and decision-making * Write and refine effective AI promp * Prototype and maintain internal tools that allow non-technical users to interact with data and automation easily. * Train the collection team on how to use SQL, dashboards, and tools effectively. * Create internal SOPs, data guides, and AI usage playbooks. * Foster a culture of self-service data exploration and tech enablement.

คุณสมบัติผู้สมัคร

Strong background in business analysis: problem discovery, process design, and solution delivery.
Proficient in SQL and comfortable analyzing relational data sets.
Able to deliver polished, understandable reports and dashboards.
Ability to turn data into actionable insights and translate those into strategy, particularly in debt collection or customer operations.
Comfortable using low-code platforms and AI tools (e.g., n8n, OpenAI, MCP Servers, MindsDB) — or willing to learn.
Basic understanding of Python and APIs; not expected to be a software engineer, but able to collaborate with technical teams
Strong communication skills—can bridge business and technical teams effectively.
Bonus: experience in collections, finance, customer service, or ops strategy.