Analyst

Who we are and What do we do?

Bright is a consumer fintech that helps Americans get out of debt, with the power of data science and machine learning. It is a mobile app that combines all the tools and tech needed to manage and get rid of debt.

Bright’s tools include credit score building, automated debt paydown plans, financial planning, budget planning tools, and refinance loans. It works with credit cards, student loans and car loans.

Bright has had 6x growth in the last year, with 300,000 users, and more than 100,000 ratings and reviews. Bright is backed by three major venture capital funds (Sequoia, Falcon Edge and Hummingbird) and with top angel investors from the US, UK and India, Bright has raised +$40 million in funding to date.

Bright has recently raised $50M in debt funding from Encina Lender Finance, for its credit business growth. Encina Lender Finance provides lending solutions to consumer and commercial specialty finance companies across the U.S. and Canada.

Today we are among the top 8 US FinTech companies. We will become a top 100 US financial institution, with the unique strength of data science and predictive modeling to enhance financial products for a user’s life outcomes.

We will be the first at-scale Consumer Tech company, built in India for Global markets.

About Our Founders

Bright was founded in 2019 by a founding team from McKinsey’s Banking Practice (Petko Plachkov and AviPatchava) and InMobi Data Scientist (Avi Patchava, Varun Modi, Avinash Ramakath, Jayashree Merwade)

What will you do?

• Track and maintain business growth metrics on a regular basis.
• Design and implement end-to-end monitoring and analytics systems.
• Automate recurring reports and build data pipelines for efficiency.
• Develop new metrics to measure and optimize growth initiatives.
• Build analytical models for forecasting revenue, growth, and user behavior.
• Collaborate with cross-functional teams to identify problems, form hypotheses, and drive actionable insights.
• Present findings in clear and structured formats for decision-making.

Ideal candidate profile looks like?

Experience & Background:

• Bachelor’s or master’s degree in engineering, Economics, Statistics, Mathematics, or a related field.
• Strong analytical and problem-solving skills — ability to interpret complex data and “Connect the dots.”
• Proficiency in SQL for data extraction, manipulation, and analysis.
• Working knowledge of Python (data handling, visualization, or automation).
• Hands-on experience with visualization tools (e.g., Tableau, Power BI, Looker) is a plus.
• 0–3 years of experience in a growth, business analytics, or data-focused role (preferably in fintech, consumer tech, or startup environments).
• Exposure to A/B testing, funnel analysis, or cohort analysis.
• Understanding of marketing performance metrics and attribution modeling.

Mindset & Operating DNA:

• Familiarity with AI-based automation or analytics workflows is an advantage.
• Excellent attention to detail and ability to work in a fast-paced, dynamic environment.
• Strong communication skills and ownership mindset toward deliverables.