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We are a young, passionate & energetic team of IIT- (Bombay & Delhi), Stanford & IIM Graduates working on building next generation of technology in pre-owned two wheeler. The product will focus on building trust, transparency and simplifying the process of buying & creating value for money for pre-owned two wheeler. We are looking for SMART, Talented & hard-working passionate youngsters joining in our vision of "Bringing Smiles. Fulfilling Dreams" of next millions of consumers. Expectations from Analyst 1) Cleanse the data, ramp up the analysis of the data and create valuable business insights for the client 2) Set up reporting structure with accurate and timely reports 3) Dig deep into the data, analyze it, and present actionable business insights directly to the team. 4) Experience on Excel, Power-Pivot, SQL, R or Python is required 5) Coordinate with business operations team to understand business requirements, simplifying them, and collaborating with technology team to build products or tools 6) Understand database structure end-to-end and write SQL queries to export data from it 7) Expected to work overtime during busy periods 8) Cross-functional support to teams/projects whenever and however required, as per bandwidth Job Specifications: Excellent knowledge of Excel, R & SQL Very strong analytical skills Strong verbal and written communication skills

CredR is India’s largest ecosystem for two-wheelers. Started by IIT-B alumni, Technology and Customer Experience form the core of this one-stop destination for buying and selling used two-wheelers. A full stack, vertically integrated approach helps us churn the entire two-wheeler life cycle and serve customers at every stage. With various omnichannel touch points, we bring an unmatched host of services. 100% verified bikes, Transparent pricing, Easy Exchange, Value added services, News and Expert Reviews on two-wheelers. Fuelled by a team of go-getters, CredR moves ahead in the direction of making consumers’ experience hassle-free with its trusted and tech-enabled processes.

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