Data Analyst Sr.

• Bachelor’s degree in Analytics, Statistics, Computer Science, Economics, Engineering, or a related quantitative field.
• 5+ years of experience delivering analytics solutions, business intelligence, and data-driven insights in complex enterprise environments.
• Strong experience designing and implementing analytical data models in modern data warehouse platforms such as Snowflake, BigQuery, Redshift, Synapse, or similar technologies.
• Hands-on expertise with SQL and BI tools such as Tableau, Looker, Power BI, Oracle Analytics, or equivalent platforms.
• Experience building dimensional models, fact and dimension tables, semantic layers, and governed metrics for reporting and analytics.
• Proven ability to translate business requirements into scalable dashboards, reports, and self-service analytics solutions.
• Experience collaborating with Data Engineering teams on data pipelines, data quality, governance, metadata management, and reporting architecture.
• Excellent communication and presentation skills with the ability to convey complex data insights to both technical and non-technical stakeholders.

Preferred Qualifications

• Experience with Python or R for analytics and automation.
• Exposure to AI-driven analytics solutions, including LLM-assisted analysis, conversational analytics, prompt-based reporting, or intelligent automation.
• Knowledge of financial reporting, forecasting, variance analysis, month-end close processes, or accounting-related analytics.
• Experience building automated monitoring, alerting, and insight-generation solutions.
• Background in retail, finance, or enterprise business operations is highly preferred.