Product Analyst
7 days ago
About Nanonets:
Nanonets has a vision to help computers see the world starting with reading and understanding documents. Machine Learning (ML) is no longer a futuristic concept—it's a present-day powerhouse transforming the business landscape. Nanonets is at the forefront of this transformation, offering innovative ML solutions designed to make document-related processes faster than ever before.
From automating data extraction processes to enhancing reconciliation, our solutions are designed to revolutionize workflows, optimize operations, and unlock untapped potential for our clients. Our client footprint spans across brands such as Toyota, Boston Scientific, Bill.com and Entergy to name a few enabling businesses across a myriad of industries to unlock the potential of their visual and textual data.
We recently announced a series B round of $29 million in funding by Accel and are backed by the likes of existing investors including Elevation Capital and YCombinator. This infusion of capital underscores our commitment to driving innovation and expanding our reach in delivering cutting-edge AI solutions to businesses worldwide.
We’re on a mission to hire the very best and are committed to creating exceptional employee
experiences where everyone is respected and has access to equal opportunity
Role Overview:
We are seeking a Product Analyst to take ownership of key metrics, reporting, and experimentation within Nanonets. Working directly with our founders, this role involves goal setting, tracking, and prioritizing features based on metrics-driven insights. As a Product Analyst, you’ll be critical to helping teams set data-informed goals, clarifying the key metrics that drive success, and enabling a hypothesis-driven approach to product development.
Key Responsibilities:
● Metrics Ownership: Manage and report on company metrics, setting measurable goals and tracking progress against them.
● Outcome Definition: Help teams define data-backed goals and establish measurable outcomes, ensuring efforts align with strategic company objectives.
● Input Metrics Clarity: Identify and communicate the key levers that drive output metrics, providing teams with actionable insights.
● Hypothesis-Driven Development: Build systems that support hypothesis testing through product features, creating, running, and measuring A/B tests and experiments to validate customer behavior hypotheses.
● Product Development Optimization: Partner with product teams to establish high-quality goals, focus on the most impactful metrics, and support agile development based on data-driven decision-making.
What We’re Looking For -
● Education: Bachelor’s degree preferable from a Tier 1 college.
● Technical Skills:
○ Proficiency in SQL (required).
○ Strong analytical skills and understanding of key product metrics.
○ Willingness to learn Python and enhance data engineering skills.
○ Robust product sense, with the ability to interpret and act on data for feature prioritization.
● Mindset: Curious, experiment-driven, and eager to tackle complex product challenges through data. Comfortable scrapping or iterating on underperforming features based on data.
Why Join Us?
● Innovative Culture: Be part of a forward-thinking company at the forefront of AI and ML
innovation.
● Growth Opportunities: Nanonets offers ample growth opportunities, allowing you to make a
tangible impact in the product features
● Flexible Work Arrangements: Enjoy a flexible hybrid work model with in-office time every
quarter.
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