OMO Bikes - Data Manager/Business Intelligence Manager

OMO Bikes is one of india's fastest growing bicycle company led by IIT graduates & passionate cyclists.

We are looking for hard working people to join our team and revolutionize Indian bicycle industry & urban commute solutions.

Key Responsibilities

- Develop and document clear plans to bring analytical solutions from concept to reality.

- Develop data infrastructure to enable timely business performance insights.

- Translate data into actionable insights to help business leaders to make strategic decisions that improve efficiency and/or the customer experience.

- Use data analyses and statistical techniques to develop solutions to improve customer experience and to guide business decision making

- Identify predictors and causes of business related problems and implement novel approaches related to forecasting and prediction

- Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations

- Collaborate with multiple teams as a leader of quantitative analysis and where you develop solutions that utilize the highest standards of analytical rigor and data integrity

Skills Required

- Bachelor's degree in Computer Science, Engineering, Operations Research, Math, or related discipline.

- Minimum 2+ years of experience as an Analyst role preferred.

- Highly proficient in Microsoft Office and Windows based applications.

- Demonstrated Analytical ability, results-oriented environment with external customer interaction.

- SQL Knowledge and Hands-on is a must.

- Excellent written and verbal communication and presentation skills and the ability to express thoughts logically and succinctly.

- Entrepreneurial drive and demonstrated ability to achieve stretch goals in an innovative and fast-paced environment.

- Experience with E-Commerce, Retail and Business Analytics would be an advantage.

- Understanding of data warehousing, data modeling concept and building new DW tables

- Advanced SQL skills, fluent in R and/or Python, advanced Microsoft Office skills, particularly Excel and analytical platforms