Data Analyst - AI-Driven

Build a High-Impact Career in AI & Business Innovation

Full-time| 2-4 years (ideal for ambitious professionals early in their career)|

Location : Bangalore (Koramangala)|Mostly Work From Office.

Why Join LoadShare ?

LoadShare is one of India's leading full-stack logistics players, powering last-mile delivery across e-commerce, hyperlocal, and quick commerce. With a network of 20,000+ delivery partners, we solve logistics at scale in one of the most complex operating environments in the world. Now, we're building a business-embedded AI team to tackle high-impact problems and deliver AI-first solutions.

Your Role :

As an AI-Driven Data Analyst, you'll work closely with operations and business leaders to identify and solve real-world problems using AI tools. You will build quick prototypes, reports and MVPs using LLMs, voice agents, APIs, no-code tools, and Python-driving direct business impact.

Requirements - Mandatory Requirements :

- Strong communication skills in English (both written and spoken).

- 2-3 years of relevant experience in analytics or AI-related projects.

- Proficiency in Python for data analysis and prototyping.

- Ability to work with cross-functional, fast-paced teams.

- Demonstrated problem-solving & Data-analysis skills and curiosity to explore new solutions.

Preferred Requirements :

- Experience building tools, bots, or workflows using AI/LLM technology.

- Hands-on experience with data visualization (Tableau, Power BI, or similar).

- Familiarity with no-code/low-code automation tools.

- Comfortable collaborating with non-technical stakeholders and translating business needs into technical solutions.

- Prior exposure to building and deploying MVPs or prototypes.

What You'll Do :

- Work with operations and business leaders to identify high-impact problems for tech/AI-driven solutions.

- Build and test rapid prototypes and MVPs using AI/LLMs, voice agents, APIs, and no-code platforms.

- Analyze data and business processes to uncover opportunities for AI automation.

- Evangelize your insights across business teams to drive sustainable change

- Measure your success by the business impact (customer experience improvement, revenue increase, cost reduction) you deliver.