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Data Analyst
2 weeks ago
Key Responsibilities
- Team Leadership & Management
- Lead, mentor, and manage a small team of data analysts.
- Allocate tasks, monitor progress, and ensure timely delivery of analytics projects.
- Analytics & Business Insights
- Engage with stakeholders to understand analytics and reporting requirements.
- Translate business needs into data-driven solutions and dashboards.
- Business Intelligence (BI) & Visualization
- Develop, maintain, and optimize dashboards and reports using AWS QuickSight / Power BI /
Open-source tools / Open-source libraries.
- Design user-friendly and interactive visualizations tailored to business stakeholders.
- Explore and implement open-source BI tools for cost-effective solutions.
- ETL & Data Engineering
- Design, build, and manage ETL pipelines using AWS services (Glue, Lambda, Redshift, etc.).
- Ensure data quality, consistency, and reliability across analytics solutions.
- Adopt best practices in data architecture and pipeline optimization.
- Open-Source & Advanced Analytics
- Leverage open-source libraries (e.g., E charts, Plotly, etc.) for custom analytics solutions.
- Stay updated with emerging tools and frameworks in the data analytics ecosystem.
Required Skills & Qualifications
- 5+ years of proven experience as a Lead in data analytics, BI, and data pipeline development.
- Prior experience in leading/managing a small team.
- Strong proficiency in BI tools: AWS Quicksight and Power BI.
- Hands-on experience in building ETL pipelines with AWS tools (Glue, Lambda, Redshift, etc.).
- Proficiency in SQL and working with large datasets.
- Experience with open-source BI tools and data analysis libraries.
- Strong problem-solving, analytical, and communication skills.
- Ability to translate complex data into meaningful insights for non-technical stakeholders.
- Experience in cloud data warehouses (e.g., Amazon Redshift, Snowflake, BigQuery).
- Experience with data governance, security, and compliance best practices.
- Knowledge of machine learning frameworks and statistical analysis (nice-to-have).