Assistant Data Analyst

As an Assistant Data Analyst at Agraga located in Mumbai, you will play a crucial role in supporting data-driven decision-making by building and managing reliable data pipelines. Your expertise in Python, SQL, and Excel will be vital in handling large and complex datasets, ensuring data accuracy, and creating automated pipelines and reports using BI tools like Power BI or Looker. **Key Responsibilities** - Collect, clean, validate, and organize data from various sources to maintain high data quality and accuracy - Develop end-to-end data pipelines, including ETL processes, reporting systems, and automation frameworks - Utilize Python and SQL for thorough checks on large datasets to ensure data sanity - Design and automate regular reports and dashboards to deliver accurate, timely, and actionable insights - Collaborate with business stakeholders and cross-functional teams to understand reporting and data requirements - Implement data management best practices, governance, and quality assurance standards - Utilize BI tools such as Looker, Power BI, or similar for creating interactive and visually appealing dashboards - Identify opportunities for optimizing data processes and enhancing efficiency continuously **Required Skills & Qualifications** - Bachelor's/Master's degree in Computer Science, Data Analytics, Statistics, or a related field - Proficiency in Python, SQL, and Excel for data manipulation and analysis - Hands-on experience in ETL design, data pipelines, and automation - Strong background in working with large-scale datasets to ensure accuracy and performance - Familiarity with at least one BI/visualization tool (Power BI, Looker) - Excellent analytical and problem-solving skills with keen attention to detail - Effective communication skills to present data-driven insights convincingly **Preferred Attributes** - Previous experience in a logistics, supply chain, or tech-enabled platform environment - Ability to work independently in a fast-paced and dynamic setting - Willingness to work late hours and Saturdays when required - Openness to travel approximately 20% of the time - Commitment to handling non-analysis tasks up to 30% - Comfortable with the startup work environment - Familiarity with sourcing data from MongoDB server using Python script *Note: The probationary period will be 3 months from the date of joining. Working days are Monday to Friday, with the possibility of working on Saturdays if needed. No exam/long leaves are permitted in the first 365 days, and remote or hybrid work options are not available.*,