Data Analyst
at Yulu Bikes
1 - 2 yrs
₹7L - ₹12L / yr
Bengaluru (Bangalore)
Skills
Data Science
Data AnalyticsSQL
PythonDatawarehousing
Big Data
Geospatial analysis
Skill Set
SQL, Python, Numpy,Pandas,Knowledge of Hive and Data warehousing concept will be a plus point.
JD
- Strong analytical skills with the ability to collect, organise, analyse and interpret trends or patterns in complex data sets and provide reports & visualisations.
- Work with management to prioritise business KPIs and information needs Locate and define new process improvement opportunities.
- Technical expertise with data models, database design and development, data mining and segmentation techniques
- Proven success in a collaborative, team-oriented environment
- Working experience with geospatial data will be a plus.
SQL, Python, Numpy,Pandas,Knowledge of Hive and Data warehousing concept will be a plus point.
JD
- Strong analytical skills with the ability to collect, organise, analyse and interpret trends or patterns in complex data sets and provide reports & visualisations.
- Work with management to prioritise business KPIs and information needs Locate and define new process improvement opportunities.
- Technical expertise with data models, database design and development, data mining and segmentation techniques
- Proven success in a collaborative, team-oriented environment
- Working experience with geospatial data will be a plus.
Read more
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About Yulu Bikes
Founded :
2017
Type :
Product
Size
Stage :
Raised funding
About
Yulu is the leading shared micro-mobility service provider using electric two-wheelers to reduce traffic congestion and air pollution in urban India. Yulu's mission is to create sustainable cities of tomorrow by revolutionizing the way people commute. Yulu’s technology-driven mobility platform uses IoT, ML, and AI for demand-supply management and efficient operations. Currently, Yulu is present in Bengaluru, New Delhi, Pune, Greater Mumbai, and Bhubaneswar. Yulu is committed to building the largest EV ecosystem of India to provide smart, shared and sustainable mobility solutions for the urban commute.
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