Assistant Data Analyst
7 days ago
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:
- 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
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