Lavish Lakhiani

• Lead end-to-end analytics initiatives, partnering with Product, Engineering, Sales, and Operations to identify opportunities to leverage data for business solutions
• Design and develop scalable data models and dashboards (Sigma, Tableau) to support product insights, operational performance, and strategic decision-making
• Analyze and synthesize large datasets from Snowflake to uncover trends, optimize processes, and improve business outcomes
• Drive discussions with stakeholders on data insights, implications, and recommended actions, influencing both technical and business decisions
• Built and implemented BI infrastructure (Sigma + Snowflake), enabling real-time analytics and reducing manual reporting efforts
• Automated recurring reporting processes, improving efficiency and reducing reliance on manual Excel-based workflows
• Perform root cause analysis on data discrepancies, logic issues, and system changes to improve data quality and reporting accuracy
• Implement monitoring and validation processes to ensure data accuracy, performance, and reliability across dashboards
• Develop and maintain documentation including data definitions, business logic, and reporting frameworks
• Communicate technical specifications and data requirements to ensure optimized queries and scalable data solutions
• Lead and mentor a team of 6 analysts, providing guidance on analytics best practices, data modeling, and stakeholder communication
• Manage multiple concurrent projects in a fast-paced environment, ensuring timely and high-quality delivery

• Provided technical support for VoIP/SIP products, troubleshooting customer issues and performing root cause analysis
• Collaborated with engineering and product teams to resolve complex system and customer issues
• Maintained SLA performance while handling ~80 tickets per month
• Communicated technical findings and solutions clearly to customers and internal stakeholders
• Trained new hires on systems, workflows, and customer interaction best practices

• Assessed client needs and fielded high volume of calls for fast troubleshooting

• Fielded approximately 30-40 calls per day

• Provided excellent customer service on client facing calls

• Collaborated across teams to ensure customer satisfaction