Data Analyst (SQL/Python)

Responsibilities:

Design and develop data pipelines and ETL processes using Apache Airflow and Google Cloud Dataflow

Extract and analyze large datasets from relational databases (BigQuery, Redshift, Oracle, Teradata) using SQL

Perform data analysis using Python and SQL with advanced statistical methods

Create data visualizations using Tableau, Power BI, or R-Shiny Conduct hypothesis testing and A/B testing for business insights

Use Git for version control and collaborative development

Optimize database queries and create views across multiple tables

Report analytical findings to business stakeholders

Skills and Qualifications:

Bachelor's degree in quantitative field (Statistics, Computer Science, Data Science, or related)

5+ years of experience in data analysis

Advanced English

Proficiency in Python and SQL

Experience with Apache Airflow for workflow orchestration

Experience with Google Cloud Dataflow and ETL processes

Experience with relational databases (BigQuery, Redshift, Oracle, or Teradata) Proficiency with data visualization tools (Tableau, Power BI, or R-Shiny)

Experience with Git version control

Knowledge of statistical analysis and hypothesis testing

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