Senior Data Analyst - Lifestyle

Job 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.