Yulu is recruiting for an entry level Data Analyst role in India

Position:

Introduction:
- Yulu is India’s largest shared micro-mobility service provider.
- Utilizes electric two-wheelers to alleviate traffic congestion and reduce air pollution.
- Focused on urban areas, enhancing last-mile commutes and deliveries.
Mission:
- Aims to revolutionize urban transportation.
- Strives to create sustainable cities through innovative commuting solutions.
- Leverages technology including IoT, ML, and AI for efficient mobility management.
Presence:
- Active in Bengaluru, Delhi NCR, and Greater Mumbai.
- Committed to supporting India’s goal of complete mobility electrification by 2030.

Role Summary:
- The ideal candidate is adept in all areas of data analytics: mining, generation, and visualization.
- Must be passionate about converting data into actionable, insightful reports.
- Key focus on driving innovation and enhancing business growth through data insights.
Key Responsibilities:
- Data Analysis:
  - Conduct proactive data analysis to address key business questions.
  - Identify and communicate areas for improvement in efficiency and productivity.
- Visualization:
  - Develop and sustain interactive visualizations through data interpretation and analysis.
  - Integrate reporting components from various data sources.
- Data Acquisition:
  - Define and implement data acquisition and integration logic.
  - Choose suitable methods and tools within the technology stack for optimal solution scalability and performance.

Experience:
- 1+ years of experience in data mining as a data analyst.
Skills:
- Proven skills in data mining, evaluation, and visualization.
- Technical writing proficiency, including crafting queries, reports, and presentations.
- Strong command over Python, SQL, and Excel.
- Willingness to learn other analytics tools.
Additional Skills:
- Experience in data model designing, segmentation techniques, and ETL development is advantageous.
- Strong communication skills are essential.
Mandatory Skills:
- Proficiency in Python and SQL.

Culture:
- Promotes a friendly and open culture.
- Encourages idea sharing and opinions.
Opportunities:
- Provides growth opportunities in a sustainable and evolving industry.