PRODUCT ANALYST (WITH UX EXPERIENCE)

Founded in 2019, zingbus is building the most trusted brand for intercity travel. Keeping reliability and safety at the core, we are building a two-sided platform that delivers standardized journey experience for travelers and increased earnings for our supply partners.
We connect 300+ cities across the country through our daily services and have served 2.5 Mn+ unique customers so far and are aggressively working towards the fleet electrification and establishment of charging technology and infrastructure.
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Position: Product Analyst
Working Days : 6days (5days WFO and Saturday WFH)
As a Product Analyst at zingbus, you will play a critical role in driving product decisions through data insights and operational understanding. You'll work closely with Product Managers, Engineering, Business, and Operations teams to analyze user behavior, monitor feature performance, and identify opportunities that accelerate growth, improve user experience, and increase revenue.

Your focus will be on translating data into actionable strategies, supporting product roadmaps, and enabling informed decision-making across demand-side projects and operations.

Partnering with Product Managers and cross-functional teams to define metrics, build dashboards, and track product performance.
Conducting deep-dive analyses of large-scale data to identify trends, user behavior patterns, growth gaps, and improvement opportunities.
Generating data-backed insights to drive feature enhancements, product experiments, and business decisions.
Working with Data, Engineering, Business, and Ops teams to design and measure experiments (A/B tests, cohorts, funnels).
Creating reports, visualizations, and presentations that simplify complex data for stakeholders and leadership.
Supporting the product lifecycle with relevant data inputs during research, ideation, launch, and optimization phases.

Bachelor's degree in engineering, statistics, business, economics, mathematics, data science, or a related field.
Proficiency in SQL and ability to work with large datasets.
Experience with data visualization/reporting tools (e.g., Excel, Google Sheets, Power BI, Tableau, Looker, Mixpanel, GA).
Excellent communication skills — able to turn data into clear narratives and actionable recommendations.
Passion for product, user behavior, and data-driven decision-making.

Prior internship or work experience in product analytics, business analysis, consulting, or growth teams.
Familiarity with experimentation techniques (A/B testing, funnels, cohorts, retention metrics).
Knowledge of Python or R for data analysis (optional but beneficial).
Exposure to consumer tech, mobility, travel, or marketplaces.