Job Description

About Yulu Energy

Yulu started with the vision to redefine urban mobility using technology and help make cities of tomorrow that are cleaner, less congested and sustainably liveable for generations to come. Over the last 5 years, we have created the country's largest Mobility-as-a-Service (MaaS) and Battery-as-a-Service (BaaS) platform.

We have been able to set up a fantastic infrastructure for battery swapping solutions across multiple cities and have been able to achieve over 3.5 million battery swaps till date.

As we look to the future, we believe the best way to accelerate towards our vision is to give our BaaS business a fresh canvas as YULU ENERGY very soon.

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Role Summary

Use statistical methods to analyze data and generate useful business reports.You will be expected to have a very good grip on different data streams and address the organization's data requirements. The role will work across functions with other groups in analytics as well as other departments in the company and will be expected to frequently work on data requests from various stakeholders.

Key Responsibilities

• Strong analytical skills with the ability to collect, organize, analyze and interpret trends or patterns in complex data sets and provide reports & visualizations
• Work with management to prioritize business KPIs and information needs
• Locate and define new process improvement opportunities
• Work on data models, database design and development, data mining and segmentation techniques.
• Identify areas of overlap or data gaps that can lead to increased value, either by eliminating redundant processes or expanding existing data models
• Design and develop complex data queries to move and transform data from operational data sources to analytical databases.
• Test all new reports/deliverables and periodically review them for quality control

• 1-4 yrs years of experience in the relevant field
• Expertise in SQL, Python would be an added advantage
• Experiential knowledge of Hive
• Working experience with geospatial data will be a plus.
• Proficiency in Data warehousing concepts would be given preference.

• A friendly culture where you are encouraged to share ideas and opinions
• A journey that will challenge and reward you in multiple ways.