Summary from listing
The document presents three separate data roles. The Data Analyst role seeks someone with 2–6 years of experience to analyze trends, build dashboards, clean and explore data, interpret KPIs, and support A/B testing, customer segmentation, and root cause analysis using SQL, Excel, Python, and BI tools. The Data Engineer role focuses on designing and maintaining ETL/ELT pipelines, data lakes, warehouses, and marts, along with validation, quality checks, monitoring, and infrastructure using SQL, Python or Scala, Airflow, Kafka, Spark, and cloud platforms. The Data Scientist role is described as seeking a highly analytical and innovative professional to develop machine learning models, uncover insights, and solve real-world problems using predictive analytics and AI.
