Data Analyst

2 years

0 Lacs

Posted:4 days ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

About the Company:


  • Founded in 2019, zingbus is building the most trusted brand for intercity travel. Keeping reliability and safety at the core, we are building a two-sided platform that delivers standardized journey experience for travelers and increased earnings for our supply partners.
  • We connect 300+ cities across the country through our daily services and have served 2.5 Mn+ unique customers so far and are aggressively working towards the fleet electrification and establishment of charging technology and infrastructure.
  • Raised Series A from Y Combinator, InfoEdge, AdvantEdge, and other prominent investors from India and Silicon Valley. Additionally, secured a significant investment of $9 million from bp Ventures.


https://yourstory.com/2021/03/gurugram-startup-zingbus-takes-tech-route-intercity-bus-travel-smoother/amp


https://www.bp.com/en_in/india/home/news/press/bp-ventures-invests-9-million-in-indias-leading-intercity-bus-

platform-zingbus.html


Position: Data Analyst

Location: Gurgaon

Education: Preferred: Tier 1 - BTech


Key Responsibilities:

• Analyzing complex datasets, providing data-driven insights, and optimizing data workflows.

• Improving the performance of data processing tasks and ensuring scalable solutions

• Develop, validate, and maintain data pipelines and ETL processes.

• Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions.

• Perform data cleaning, transformation, and validation to ensure high data quality.



Qualifications:

• Mandatory - Bachelor’s degree in CS, Engineering, Statistics (preferably from a #Tier 1 college)

• 2+ years of experience in a data analysis or similar role.

• Strong knowledge of data structures and algorithms, Proficiency in Python or R

• Experience with SQL and database management

• Mandatory knowledge of data visualization tools (Tableau, Power BI, or similar)



Good to Have:

• Familiarity with big data tools and technologies (e.g., Hadoop, Spark)

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