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10/05 Bhishma
Product Head at OMO Bikes

Views:317 Applications:67 Rec. Actions:Recruiter Actions:29

OMO Bikes - Data Manager/Business Intelligence Manager (2-4 yrs)

Anywhere in India/Multiple Locations Job Code: 923304

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

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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