Product Analyst

Job Description

Hybrid - Bengaluru Full time Permanent Position Must have skills required : SQL, product metrics, Data-Driven, Analytical Skills, Hypothesis testing, data-backed goals Good to have skills : Python, B2B SaaS, Data Engineering Read about the release here: Were 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, youll 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 Were Looking For Education : Bachelors degree preferable from a Tier 1 college. 2- 4 years of relevant experience, such as Data Analyst or Product Analyst, ideally within a B2B SaaS company. 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.