Product Analyst

GoodScore; Bengaluru; On-site; INR 900,000 - 1,300,000; Full time

Job summary

GoodScore in Bengaluru seeks a Product Analyst to partner with founders and shape product outcomes through data-driven insights. The ideal candidate is a first-principles thinker with strong analytical depth and a relentless curiosity for patterns in data.

You will translate ambiguity into actionable insights, build scalable analytic frameworks, and collaborate across product, growth, and engineering to drive growth at scale in a fast-paced environment.

Qualifications

• Bachelor's degree from a top-tier college.
• 1–3 years of experience in Product Analytics or similar analytical role in a high-growth environment.
• Strong analytical thinking and structured problem-solving skills.
• Curiosity about product behaviour, customer journeys, and metrics.
• Hands‑on experience with visualization/BI tools such as Power BI, Tableau, Looker, or QlikView.

Responsibilities

• Partner with product, business, and growth teams to identify key business challenges and translate them into structured analytical problem statements.
• Own the end-to-end analytics lifecycle from data exploration and hypothesis creation to deep-dive analysis and actionable insight generation.
• Leverage quantitative analysis to uncover trends, measure business impact, and provide strategic recommendations.
• Analyse user behaviour, product funnels, retention metrics, and growth levers to identify optimisation opportunities.
• Design, build, and maintain dashboards and reporting frameworks for monitoring key metrics.
• Collaborate with product managers, engineers, operations and leadership to drive product growth at scale.
• Ensure data accuracy, consistency, and reliability across reporting systems.

Skills

Analytical thinking

Structured problem-solving

Curiosity about product & metrics

Data-driven mindset

Ambiguity tolerance

Education

Bachelor's degree

Tools

Power BI

Tableau

Looker

QlikView

Job description

The Product Analyst role offers a unique opportunity to work closely with the founders and directly shape product and business outcomes through data-driven insights. The ideal candidate is a first-principles thinker with strong analytical depth, a natural curiosity for uncovering patterns in data, and a relentless focus on solving complex business problems. If you enjoy challenging assumptions, translating ambiguity into actionable insights, and building scalable analytical frameworks in a fast-paced environment, you'll thrive in this role.

Responsibilities

• Problem Discovery and Structuring: Partner closely with product, business, and growth teams to identify key business challenges and translate them into structured analytical problem statements.
• Insight Generation and Analysis: Own the end-to-end analytics lifecycle from data exploration and hypothesis creation to deep-dive analysis and actionable insight generation.
• Data-Driven Decision Making: Leverage quantitative analysis to uncover trends, measure business impact, and provide strategic recommendations that influence product and business decisions.
• Product Analytics and Experimentation: Analyse user behaviour, product funnels, retention metrics, and growth levers to identify optimisation opportunities and support experimentation initiatives.
• Dashboarding and Visualisation: Design, build, and maintain intuitive dashboards and reporting frameworks that enable teams to monitor key metrics and make informed decisions efficiently.
• Cross-Functional Collaboration: Work closely with product managers, engineers, operations, and leadership teams to solve complex business problems and drive product growth at scale.
• Data Excellence: Ensure data accuracy, consistency, and reliability across reporting systems and analytical workflows.

Requirements

• Bachelor's degree from a top-tier college.
• 1-3 years of experience in Product Analytics, Business Analytics, or a similar analytical role, preferably in a high-growth B2C or consumer tech environment.
• Strong analytical thinking and structured problem-solving skills, with the ability to work on ambiguous business problems.
• Strong curiosity about product behaviour, customer journeys, and business metrics.
• Hands‑on experience with visualisation and BI tools such as Power BI, Tableau, Looker, or QlikView.