Data Analyst

Overview

8–15 years of experience in data analysis, business analysis, or a related field.

Strong experience with data visualization tools (e.g., Power BI, Tableau, QuickSight).

Hands-on experience with AWS data services (e.g., S3, Athena, Glue, Redshift) will be a distinct advantage

Familiarity with Apache Iceberg, dbt, and Apache Flink.

Experience working with both batch and streaming data pipelines.

Strong analytical thinking, problem-solving, and communication skills.

Ability to work independently and guide junior analysts or developers.

Preferred Skills

Exposure to AI/ML workflows and understanding of how data supports model training and evaluation.

Experience with data governance, data quality frameworks, and metadata management.

Knowledge of agile methodologies and experience working in cross-functional teams.

Key Responsibilities



Collaborate with data engineers, architects, and business stakeholders to define data requirements and translate them into analytical solutions.

Analyze large-scale datasets from data lakehouse architectures (e.g., Apache Iceberg on AWS) and real-time streaming platforms (e.g., Apache Flink, Kafka).

Build and maintain dashboards, reports, and visualizations to support business decision-making.

Use dbt to transform and model data for analytics and reporting.

Perform root cause analysis, trend identification, and predictive analytics to support strategic initiatives.

Work closely with AI/ML teams to ensure data readiness and quality for model development.

Document data definitions, business rules, and data lineage for transparency and governance.