Data Analyst

About the Company:

At Prosperr.io, we are transforming the way individuals and organizations manage taxes and employee benefits.

As a pioneering fintech SaaS platform, we empower employees to maximize their in-hand salaries and enable businesses to design smarter, compliant, and efficient tax strategies. Through cutting-edge AI-driven automation and intuitive tools, Prosperr.io simplifies financial complexities, providing seamless solutions tailored to the needs of salaried professionals and HR leaders alike.

Founded by Manas and Dev Kumar, the company specializes in assisting salaried individuals with tax planning, management, and income tax filing. Recently, Prosperr.io raised $1.55 million in pre-seed funding, led by a prominent investor.

Mission and Vision of the company:

Our mission is to empower individuals and businesses with innovative, accessible tools that simplify tax management, tax saving allowances, optimize tax savings and drive financial clarity and well-being.

Our goal is to be India's most trusted platform for smart financial and tax solutions, enabling financial security for all.

Core Responsibilities:

1. Data Analysis and Hypothesis Creation:

• Work deeply with B2B and B2C data across acquisition, onboarding, usage, and renewals
• Analyse funnels, cohorts, and behaviour to identify gaps and opportunities
• Translate observations into clear, testable hypotheses - Move from what is happening to why it is happening

2. Hypothesis Testing and Data Backed Decisions

• Design and evaluate experiments to validate hypotheses
• Use data to confirm or reject assumptions
• Quantify impact and recommend whether to scale, optimise, or stop initiatives
• Ensure decisions are based on evidence, not intuition

3. Dashboards and Reporting

• Build dashboards that clearly reflect business health
• Ensure metrics are accurate, consistent, and decision ready
• Provide daily and weekly views that highlight changes, risks, and trends

What We're Looking For:

• Strong analytical thinking and structured problem solving
• 3 to 5 years of experience into Data Analytics
• Hands on experience working with funnels, cohorts, and lifecycle data
• Ability to explain insights clearly to non technical stakeholders
• Experience with SQL and analytics or CRM tools such as Metabase, MoEngage, HubSpot, or similar