Data Analyst

Key Responsibilities

• Analyze large, complex datasets to uncover trends and actionable insights using Excel, Google Sheets, SQL and Python.
• Collaborate with Senior Analysts and Lead Analysts to interpret client data and propose data-driven strategies.
• Clean, validate, and pre-process client datasets for analysis and modeling.
• Translate analysis into compelling business narratives and strategic recommendations.
• Build lightweight scripts and workflows to automate data handling and save time.
• Continuously improve internal workflows and enhance analytical processes.
• Collaborate on tool configurations, and enhancements to boost efficiency.
• Support text and document annotation initiatives to generate high-quality labeled data for NLP and LLM-based AI solutions.

Requirements

• Bachelor's degree in engineering, science, mathematics, computer science, or a related field.
• 2–3 years of relevant experience working in Manufacturing, Aerospace, Consumer, Automotive, or other product companies/startups.
• Experience in a fast-growing startup environment is preferred.
• Strong end-to-end ownership with the ability to independently drive projects from problem definition through execution.
• Able to understand business objectives and translate them into actionable insights through data analysis and technical/domain expertise.
• Entrepreneurial mindset with the flexibility to thrive in a fast-paced startup environment.
• Excellent written and verbal communication skills.

Tech Stacks / Tools Must Have: Python, Excel (or Google Sheets), SQL Strongly Preferred: Machine Learning (ML), Natural Language Processing (NLP), Large Language Models (LLMs), and related AI technologies.