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Senior Data Analyst - Lifestyle

seven-retail
Companyseven-retail
CategoryData & Analytics
LocationSouth Jakarta
RemoteOn-site (inferred)
EmploymentFull-time
LevelSenior
SalaryNot stated by the employer
Posted4 Aug 2026
Last verified12 Aug 2026
SourceEmployer ATS (breezy)
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Description
Our Company 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 Senior Data Analyst and discover what you can achieve at Seven Retail. Read on to learn more! Your Day-to-Day • Analyze large and complex datasets to uncover trends, patterns, and actionable insights that drive strategic business decisions. • Design and conduct statistical analyses, predictive modeling, and experimentation to solve business problems and optimize performance. • Develop and maintain scalable dashboards, reports, and data models to monitor key business metrics and support decision-making. • Collaborate with cross-functional stakeholders to identify business opportunities, translate requirements into analytical solutions, and communicate insights effectively. • Ensure data quality, integrity, and consistency by implementing best practices in data validation, governance, and reporting. • Mentor junior analysts, lead analytical initiatives, and promote best practices in data analytics, statistical methodologies, and data-driven decision making. Who We’re Looking For • • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field. • >5 years of experience in Data Analytics, Business Intelligence, or a similar analytical role. • Strong proficiency in SQL and Python or R for data analysis, statistical modeling, and data manipulation. • Experience with data visualization tools such as Power BI, Tableau, or Looker, and the ability to present complex findings to technical and non-technical stakeholders. • Hands-on experience with statistical analysis, predictive modeling or experimentation (e.g., A/B testing) is highly preferred. • Strong analytical thinking, problem-solving, and stakeholder management skills, with experience leading projects and mentoring junior team members.