Senior Data Analyst

Lead the development of scalable analytics solutions and data products that unlock business value, empower data-informed decision-making, and drive strategic and operational excellence across the organization. This role combines advanced analytical thinking with cross-functional collaboration to translate complex data into actionable insights, enabling sustainable growth and continuous improvement.

Responsibilities

• Data Analysis & Insights
• Lead high-impact analytical projects that inform business strategy and improve performance across key functions.
• Conduct deep-dive analyses including customer segmentation, retention modeling, funnel diagnostics, and performance trends.
• Design and evaluate A/B and multivariate tests using statistically sound methodologies.
• Translate complex business objectives into structured data problems and actionable insights.
• Reporting & Visualization
• Build advanced dashboards and self-serve analytics tools using BI platforms.
• Enable business users with easy access to reliable, real-time insights for decision-making.
• Define and maintain KPI frameworks in collaboration with functional leads.
• Data Infrastructure & Collaboration
• Work closely with analytics engineers to optimize data pipelines, models, and warehouse structures.
• Ensure data accuracy, usability, and scalability across reporting and analytics systems.
• Participate in cross-functional initiatives that rely on advanced data usage and interpretation.
• Stakeholder Engagement & Communication
• Collaborate with stakeholders across marketing, operations, finance, and HR to understand data needs and translate them into solutions.
• Communicate analytical findings and strategic recommendations clearly to non-technical audiences.
• Team Development & Leadership
• Mentor and support junior analysts, providing guidance on best practices, technical skills, and business context.
• Share analytical frameworks and tools to foster team learning and consistency.
• Promote a culture of curiosity, rigor, and continuous improvement within the analytics function
  
  

Requirements

• Experience:
• 3–5 years of hands-on experience in data analytics, business intelligence, or related roles, ideally in F&B, retail, or e-commerce.
• Demonstrated experience designing experiments (A/B tests) and interpreting results.
• Experience working with cloud-based data warehouses (e.g., BigQuery, Snowflake, Redshift).
• Previous experience mentoring junior team members or leading analytical initiatives is a plus.
• Skills
• Proficiency in SQL with strong analytical skills in Python or R.
• Solid understanding of statistical techniques applied to both experimental and observational data.
• Exposure to modern data stack tools such as dbt, Git, and BI tools (e.g., Tableau, Looker, Power BI).
• Proven ability to simplify complex data findings into clear, actionable insights for non-technical stakeholders.
• Strong collaboration and communication skills, with experience supporting cross-functional teams.