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AI Automation & Data Analytics Specialist

Job in Bengaluru, 560001, Bangalore, Karnataka, India
Listing for: LTC ORIGINAL
Full Time position
Listed on 2026-06-20
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, AI Engineer (Applied/Software), Data Science Manager
Job Description & How to Apply Below
Location: Bengaluru

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, Whats App, 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 Whats App marketing campaigns.

Sales & Order Management

Automate order processing from website, Whats App, 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.

Required Skills

Strong experience with n8n workflow automation.
Good knowledge of Python.

Experience with APIs, webhooks, and integrations.

Experience with dashboard tools such as Power BI, Looker Studio, Tableau, or Metabase.
Understanding of databases and SQL.

Experience with AI tools, ChatGPT APIs, and prompt engineering.
Knowledge of social media automation tools.
Familiarity with Word Press, Woo Commerce, Shopify, or similar platforms.

Preferred Skills

Experience with Whats App Business API.

Experience with SEO automation.

Experience with AI content generation workflows.
Knowledge of cloud platforms (AWS, Azure, GCP).
Experience in FMCG, food, e-commerce, or D2C businesses.

Projects the Candidate Will Work On

AI-powered content generation for LTC Original.
Social media automation and management.
Whats App order and customer support automation.
Order management automation.
Inventory monitoring and alerts.
Sales and distributor management dashboards.
AI-powered lead generation systems.
Executive dashboards for management reporting.
Marketing attribution and ROI tracking.

Qualification

Bachelor's degree in Computer Science, Engineering, Data Analytics, or related field.

2+ years of experience in automation, analytics, or AI-related roles.

Freshers with exceptional n8n and automation portfolios may also apply.
Compensation
Competitive salary based on experience.
Performance incentives based on automation impact and business outcomes.

How to Apply

Please share below details to

Resume
Linked In profile
n8n workflow examples/screenshots
Dashboard samples
Git Hub/portfolio (if available)
Expected salary
Notice period
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