Data Analyst
- Compensation
- Not disclosed
- Location
- Gurugram, HR, India
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Data analytics
- Posted
Skills
Must have
- Bachelor’s degree in Engineering, Computer Science, Data Science, or a related field.
- 3+ years of hands-on experience in data analysis, preferably in a startup or fast-paced environment.
- Strong proficiency in Python (data manipulation, visualization, automation).
- Excellent knowledge of SQL (MySQL, PostgreSQL, or similar databases).
- Proficiency in Excel/Google Sheets for quick analysis and reporting.
- Strong problem-solving skills with attention to detail.
- Excellent communication and presentation skills.
Nice to have
- Master’s degree in Data Science, Statistics, or related field.
- Experience with Tableau/Power BI/Looker or other BI tools.
- Knowledge of cloud platforms (AWS, GCP, Azure).
- Familiarity with Big Data frameworks or APIs.
Full description
Job Title: Data Analyst
📍 Location: Gurugram (Work from Office)
🏢 Company: Zypp Electric
About Zypp Electric
Zypp Electric is India’s leading EV-as-a-Service platform, committed to building sustainable and eco-friendly solutions for last-mile logistics. With a rapidly growing fleet and mission-driven approach, we aim to achieve zero emissions in urban mobility.
Position Overview
We are seeking a Data Analyst with strong expertise in Python and SQL to join our growing team. The ideal candidate should be passionate about working with data, capable of transforming raw datasets into actionable insights, and able to support business decisions with precision and clarity.
Key Responsibilities
Extract, clean, and analyze large datasets using SQL and Python.
Build scalable reports, dashboards, and visualizations to track key metrics.
Provide actionable insights to support Tech, Product, Operations, and Business teams.
Write optimized SQL queries to extract, manipulate, and transform data.
Use Python (Pandas, NumPy, Matplotlib, Seaborn, etc.) for automation, data modeling, and advanced analytics.
Collaborate with cross-functional teams to understand requirements and deliver data-driven solutions.
Ensure accuracy, consistency, and reliability of datasets and reporting.
Continuously optimize data workflows and contribute to scalable data strategies.
Required Skills & QualificationsBachelor’s degree in Engineering, Computer Science, Data Science, or a related field.
3+ years of hands-on experience in data analysis, preferably in a startup or fast-paced environment.
Strong proficiency in Python (data manipulation, visualization, automation).
Excellent knowledge of SQL (MySQL, PostgreSQL, or similar databases).
Proficiency in Excel/Google Sheets for quick analysis and reporting.
Strong problem-solving skills with attention to detail.
Excellent communication and presentation skills.
Preferred QualificationsMaster’s degree in Data Science, Statistics, or related field.
Experience with Tableau/Power BI/Looker or other BI tools.
Knowledge of cloud platforms (AWS, GCP, Azure).