Senior Data Analyst - Lifestyle
Summary
Senior Data Analyst at Seven Retail Group to analyze datasets, build predictive models, and create dashboards that guide business decisions across F&B, education, healthcare, and lifestyle services.
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.
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>5 years of experience in Data Analytics, Business Intelligence, or a similar analytical role.
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Strong proficiency in SQL and Python or R for data analysis, statistical modeling, and data manipulation.
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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.
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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.