Position:
Business Analyst Intern – AI & Automation
Company:
Posha (formerly Nymble)
Location:
Bengaluru, Karnataka, India
Job type:
Internship
Job mode:
Onsite
Job requisition id:
Not specified
Years of experience:
You are currently STUDYING or GRADUATED
Company Description
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Posha, previously known as Nymble, is a consumer tech company working on cutting-edge cooking automation.
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Their flagship product is a robotic cooking assistant designed for modern kitchens. It prepares delicious meals autonomously.
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The technology powering this innovation includes AI-enabled computer vision and robotics.
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Their mission revolves around the idea of "Posha(n)" - nourishment, aiming to bring families together with home-cooked meals with minimal effort.
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Backed by prominent investors like Accel Partners and Waterbridge Ventures, Posha is a fast-growing, Series-A funded startup.
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With a culture that promotes speed, clarity, and transparency, Posha aims to simplify everyday cooking through thoughtful automation.
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The team comprises passionate technologists, engineers, and visionaries, all working toward enhancing culinary experiences using intelligent hardware and software.
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Posha has gained notable user love and attention on social media, as well as significant media coverage due to its futuristic product and growing team.
Profile Overview
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The Business Analyst Intern - AI & Automation will play a pivotal role in optimizing internal company systems.
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This role sits at the intersection of analytics, product, and operations, acting like a bridge between various functions.
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The intern will design dashboards and intelligent systems that offer real-time insights into business and operational data.
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A key part of the job is to enhance visibility and efficiency across departments using technology and automation.
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You’ll be building systems that unify tools and make data easily accessible across teams.
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This role is hands-on, requiring curiosity, creativity, and the ability to build scalable internal tools.
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You'll work directly with engineering, operations, and product teams to simplify workflows and develop intuitive data solutions.
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Over time, your contributions will help shape internal workflows and influence decision-making across the organization.
Qualifications
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A strong understanding of how modern software systems and APIs communicate is expected.
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Candidates should demonstrate a builder’s mindset—preferably someone who enjoys creating automation systems more than working on presentations.
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Foundational knowledge in SQL and MongoDB is important for querying and analyzing data.
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Comfort with JSON, Zapier, n8n, and working with AI APIs is preferred.
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Enthusiasm for transforming chaos into organized dashboards and knowledge bases is highly valued.
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While previous experience with LLMs (Large Language Models) or backend development is not mandatory, it's a bonus.
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Familiarity with building tools and automations that plug into business workflows will stand out.
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Experience dealing with messy, edge-case-heavy data is a plus.
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You must be passionate about building structured systems to support internal documentation, QA testing, and software engineering handoffs.
What You'll Work On
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Designing and maintaining powerful internal dashboards tailored for teams across engineering, operations, and product.
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Creating automated systems that unify workflows, improve data visibility, and enable real-time decision-making.
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Leveraging AI models and APIs to enhance the way teams tag, retrieve, and search for critical information across systems.
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Developing and organizing structured internal knowledge bases to serve as the source of truth for different teams.
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Documenting app structures and creating diagrams that help with software QA and handoffs to engineering teams.
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Identifying manual or repetitive processes and turning them into scalable, automated solutions.
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Supporting cross-functional workflows through better data visibility and documentation.
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Providing the internal teams with magic-like tools that reduce friction and increase productivity.
Skills and Tools Required
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Technical Knowledge
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Proficient in SQL and comfortable working with MongoDB databases.
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Familiarity with APIs, JSON, and data formats used in automation.
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Ability to use tools like Zapier and n8n for no-code/low-code automation.
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Analytical Mindset
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Strong analytical and problem-solving abilities.
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Comfortable working with messy datasets and drawing insights from them.
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Builder’s Attitude
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Interest in tool-building and system creation rather than just analysis.
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Proactive in identifying inefficiencies and solving them with scalable tools.
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Communication
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Able to coordinate with multiple stakeholders across product, engineering, and operations.
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Clear documentation and explanation of processes and systems.
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Additional Info
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Work Environment
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This is an onsite internship based out of Posha’s Bengaluru office.
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You’ll be surrounded by a high-energy team focused on rapid innovation and execution.
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Team Culture
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Posha values velocity, visibility, and clarity as core cultural principles.
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The team believes in investing in automation and internal tooling to remove operational friction.
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Learning Opportunities
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Get hands-on experience with real-time applications of AI and automation.
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Gain exposure to how a hardware-software consumer tech company operates.
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Contribute to building a futuristic kitchen appliance ecosystem from the inside out.
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Impact
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Your work will directly influence internal decision-making and workflow design.
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Help shape the company’s future by making operations smarter and faster.
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Please click here to apply.
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