E-commerce Data Analyst

As an E-commerce Data Analyst with a focus on Google Analytics and BigQuery, you will play a pivotal role in leveraging large-scale data sets to extract valuable insights and drive data-informed decision-making for our ecommerce operations. You will be responsible for analyzing e-commerce data stored in Google BigQuery, integrating it with Google Analytics data, and utilizing advanced analytics techniques to optimize website performance, marketing campaigns, and overall business strategies.

Key Responsibilities:

1.Data Extraction and Transformation:

• Extract ecommerce data from Google Analytics and other sources and load it into Google BigQuery for analysis.
• Develop and maintain ETL (Extract, Transform, Load) pipelines to cleanse, transform, and structure raw data for analysis and reporting purposes.

2.Advanced Analytics and Modelling:

• Apply advanced statistical techniques, machine learning algorithms, and predictive modeling to analyze ecommerce data and identify actionable insights.
• Build predictive models for forecasting sales, customer behaviour, and other key performance indicators (KPIs) to support strategic decision-making.

3.Query Optimization and Performance Tuning:

• Write and optimize SQL queries in Google BigQuery to efficiently retrieve and manipulate large-scale datasets.
• Implement best practices for query performance tuning, partitioning, and clustering to maximize query speed and minimize cost.

4.Custom Reporting and Visualization:

• Create custom reports, dashboards, and visualizations using tools such as Google Data Studio, Tableau, or Looker to communicate insights and KPIs to stakeholders.
• Design interactive dashboards with drill-down capabilities to enable self-service exploration of ecommerce data.

5.Cross-functional Collaboration:

• Collaborate with cross-functional teams, including marketing, product management, and IT, to understand business requirements and deliver data-driven solutions.
• Partner with data engineers and developers to ensure data integration, governance, and security standards are met within the BigQuery environment.

6.Continuous Improvement and Innovation:

• Stay abreast of industry trends, emerging technologies, and best practices in ecommerce analytics and data management.
• Proactively identify opportunities for process improvement, automation, and innovation to enhance the efficiency and effectiveness of ecommerce analytics initiatives.