AI Automation & Data Analytics Specialist

About the job

About LTC Original

LTC Original is a fast-growing health food company focused on diabetic-friendly rice, healthy foods, and innovative nutrition products. We are looking for a highly motivated AI Automation & Data Analytics Specialist who can help automate business processes, build AI-powered workflows, create dashboards, and drive operational efficiency.

Role Overview

We are seeking a hands-on professional with experience in n8n, Python, AI tools, data analytics, and workflow automation. The candidate will be responsible for building end-to-end automation systems across sales, marketing, customer support, social media, content generation, inventory, and order management.

Key Responsibilities

AI & Workflow Automation Design and develop automation workflows using n8n. Integrate APIs, CRMs, WhatsApp, email platforms, Google Workspace, ERP systems, and e-commerce platforms. Build AI-powered agents and workflows using LLMs such as ChatGPT and other AI tools. Automate repetitive business processes across departments.

Content & Marketing Automation

Automate blog generation and SEO content creation. Automate social media content creation, scheduling, and publishing. Build workflows for lead capture, lead nurturing, and customer engagement. Create automated email and WhatsApp marketing campaigns.

Sales & Order Management

Automate order processing from website, WhatsApp, and marketplaces. Build workflows for customer inquiries, follow-ups, quotations, and order tracking. Develop B2B lead management and distributor management automations. Create automated reports for sales performance.

Data Analytics & Dashboards

Build business dashboards for sales, inventory, marketing, and operations. Develop KPI tracking systems and management reports. Create automated data pipelines and reporting workflows. Analyze business data and provide actionable insights.

AI & Data Engineering

Develop Python scripts for automation and analytics. Work with databases such as MySQL, PostgreSQL, and cloud data sources. Integrate AI models into business workflows. Build internal tools to improve productivity.