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Product Analyst

Min Experience

2 years

Location

Bengaluru, Bangalore

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

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.

Skills

SQL
Python
Data Analysis