Data Analyst

5 days ago

Coimbatore, India Agile Dna Full time

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).

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