and strengthen our data-driven decision-making capabilities.
Role Overview:
The Assistant Data Analyst at
Agraga
will play a critical role in building and managing reliable data pipelines to support decision-making across the organization. The role requires strong technical expertise in
Python, SQL, and Excel
to handle large and complex datasets, ensuring data accuracy and consistency. The candidate will be responsible for collecting, cleaning, and transforming data from multiple sources, creating end-to-end automated pipelines, and delivering accurate reports and dashboards using BI tools like
Power BI
or
Looker
.
Key Responsibilities:
Collect, clean, validate, and organize data from multiple sources ensuring high data quality and accuracy
Build end-to-end data pipelines including ETL processes, reporting systems, and automation frameworks
Work extensively with large and complex datasets, ensuring data sanity through Python and SQL-based checks
Design and automate regular reports and dashboards to provide accurate, timely, and actionable insights
Collaborate with business stakeholders and cross-functional teams to understand reporting and data needs
Implement best practices in data management, governance, and quality assurance
Leverage BI tools (Looker, Power BI, or similar) to create interactive and visually impactful dashboards
Continuously identify opportunities to optimize data processes and improve efficiency
Required Skills & Qualifications:
Bachelor's/Master's degree in Computer Science, Data Analytics, Statistics, or related field
Strong expertise in Python, SQL, and Excel for data manipulation and analysis
Hands-on experience in ETL design, data pipelines, and automation
Experience in working with large-scale datasets ensuring accuracy and performance
Proficiency in at least one BI/visualization tool (Power BI, Looker)
Strong analytical and problem-solving skills with attention to detail
Excellent communication skills to present data-driven insights effectively
Preferred Attributes:
Experience in a logistics, supply chain, or tech-enabled platform environment
Ability to work independently in a fast-paced and dynamic environment
Working Days:
Monday to Friday
Important Notes:
He or She would be handling at least 30% totally non-analysis jobs
Comfortable with the start-up environment
Comfortable with late/Saturday workings when required
Open to travel for ~20% in a month
No exam/long leaves in 1st 365 days
No work from home or hybrid
Probationary period will be 3 months from the date of joining
He or she would source data from our MongoDB server with the help of Python script
Job Types: Full-time, Permanent
Pay: ?500,000.00 - ?800,000.00 per year
Benefits:
Health insurance
Paid sick time
Provident Fund
Work Location: In person
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