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Data Analyst Associate - Group Service

Seven Retail

Skills

Required

  • data modeling
  • data visualization
  • Data Analytics
  • Google Sheets
  • Microsoft Excel
  • forecasting
  • SQL
  • databases
  • MySQL / PostgreSQL / Google BigQuery
  • data visualization tools
  • Apache Superset
  • Power BI
  • Looker Studio
  • data wrangling
  • Python

Preferred

  • ETL pipelines
  • data warehouse management best practices

About Seven Retail

Founded in 2020, Seven Retail is a House of Brands focused on making quality lifestyle services more accessible. With over 200 centers and growing, we operate across F&B, Education, Healthcare, and Lifestyle Services.

We are on a mission to make increasingly higher quality, premium lifestyle services accessible to everyone, helping people get more out of their paycheck so everybody can experience a higher standard of living.

Ready to take the next step in your career? Join us as a Data Analyst Associate - Group Service and discover what you can achieve at Seven Retail. Read on to learn more!

Responsibilities

  • Conduct data discovery, exploration, and analysis to generate insights for business processes, products, and performance improvements.
  • Own and monitor key business metrics, define performance targets, and propose initiatives to drive improvements.
  • Build, optimize, and maintain scalable ETL pipelines to ensure reliable, accurate, and timely data delivery.
  • Implement data warehouse management best practices and develop reliable data models to support key business metrics.
  • Develop and standardize reporting frameworks, dashboards, and visualizations to ensure consistent and accessible insights across teams.
  • Establish data quality processes to maintain data accuracy, consistency, and reliability.

Requirements

  • Minimum 2 years of experience in Data Analytics or a related field.
  • Outstanding analytical, logical, and problem-solving skills.
  • Excellent proficiency in Google Sheets and Microsoft Excel, particularly for data modeling, forecasting, and data visualization.
  • Strong SQL knowledge and hands-on experience with databases such as MySQL, PostgreSQL, or Google BigQuery.
  • Proficiency in data visualization tools such as Apache Superset, Power BI, Looker Studio, or similar platforms.
  • Experience in data wrangling using Python or R.
  • Experience in developing and implementing data modeling projects.