Data Analyst

For our client we are looking for a detail-oriented and skilled Assistant Data Analyst to join their Data & Planning team 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:

• Bachelors/Masters 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