Product Analyst

GoodScore

Bengaluru

On-site

INR 900,000 - 1,500,000

Full time

2 days ago
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Job summary

GoodScore in Bangalore is seeking a Product Analyst to turn data into actionable insights that drive our credit literacy platform forward.

You will partner with the founder and cross-functional teams to translate business problems into analytics, build dashboards, and support data-driven decision making with SQL, Python/R, and visualization tools.

Qualifications

  • Bachelor’s degree in engineering required, B. Tech from a tier-1 college preferred.
  • Strong problem-solving and analytical capabilities.
  • Curiosity to understand product mechanics and business impact.
  • Experience in writing complex SQL queries across multiple data sources.
  • Ability to work with big data and derive insights for dashboards.
  • Proficiency in Excel and data visualization tools (Power BI, Tableau, QlikView).
  • Familiarity with Python or R for data analysis; ML modeling a plus.

Responsibilities

  • Collaborate with business and product teams to translate problems into analytical statements.
  • Own insight generation from problem to analysis.
  • Present data-driven recommendations and hypotheses.
  • Design and build dashboards that are easy for the team to use for decision making.
  • Interact with cross-functional teams to support product scaling with data.

Skills

Problem solving
Analytical skills
Business mindset
Curiosity
SQL
Big data
Excel
Power BI
Tableau
QlikView
R
Python
ML modeling (plus)

Education

B. Tech from tier-1 engineering college

Tools

Excel
Power BI
Tableau
QlikView

Job description

GoodScore is on a mission to make financial literacy and credit access simple, actionable, and inclusive for over 150 million Indians who are credit-underserved.

From starting personalized credit consulting in 2023 to now empowering over 1 million users to take control of their credit health, we are one of India’s fastest-growing credit score & credit management apps.

We are backed by top VC funds in India, ranked among the top 10 finance apps in India, and are on the 1x to 100x journey. We’re building a team that shares our vision of transforming how India manages credit.

Role Description:

We are seeking a passionate and detail-oriented Product Analyst to join our team in Bangalore. This is a unique opportunity to work directly with the founder and play a key role in driving our business forward through data-driven insights. If you are a first-principles problem solver, curious about uncovering the stories hidden within data, and constantly questioning the status quo, you will fit right in with us.

Responsibilities:
  • Problem Identification: Collaborate closely with business and product teams to understand and translate business problems into analytical problem statements.
  • Insight Generation: Own the entire insight generation phase from problem identification to thorough analysis.
  • Data-Driven Decision Making: Present insights and recommendations based on data-driven hypotheses.
  • Analytics and Visualization: Act as the subject matter expert in analytics and visualization for the team. Design and build dashboards that are easy for the team to consume and utilize for data-driven decisions.
  • Collaboration and Communication: Interact with some of the industry's smartest professionals and get exposure to all facets of building a product at scale.
Requirements:
  • Education: B. Tech degree from a tier-1 engineering college.
  • Experience: 1-3 years of experience in a similar role in a B2C company.
  • Strong problem-solving and analytical skills.
  • Penchant for business and curiosity to understand how the product works.
  • Ability to write complex queries on SQL to manipulate and consolidate multiple data sources for dashboarding and analysis.
  • Intuition of data and ability to handle big data sources.
  • Strong working knowledge of Excel and visualization tools like PowerBI, Tableau, and QlikView.
  • Understanding of data-analysis languages such as R or Python and core statistical concepts.
  • Experience in building ML models is a plus, but not mandatory.
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