TL;DR
Middle Data Analyst (E-commerce): Interprets data and turns it into actionable insights to improve business decisions with an accent on gathering information from various sources, applying statistical analysis and data modeling. Focus on reporting findings through dashboards and visualizations to business stakeholders, conducting hypothesis testing and A/B testing for business insights.
Company
Our partner is one of the largest retail e-commerce companies in North America.
What you will do
- 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.
Requirements
- Bachelor's degree in quantitative field (Statistics, Computer Science, Data Science, or related)
- 4+ years of experience in data analysis
- 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
Culture & Benefits
- Paid Vacation
- Sick Days
- Floating Holidays
- Sport/Insurance Compensation
- English Classes
- Training Compensation