Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Hi, I’m Sai Sinduri Vangala, a data analyst based in New York with 5 years of experience turning data into actionable insights. I enjoy building dashboards, forecasting models, and automated reporting using Python, SQL, Tableau, Power BI, Snowflake, and Azure, to help teams make data-driven decisions. I thrive in cross-functional environments, defining metrics, standardizing data, and delivering high-quality analytics that improve business performance and stakeholder alignment. I love turning complex datasets into clear, actionable insights that guide strategy and optimize operations.…Hi, I’m Sai Sinduri Vangala, a data analyst based in New York with 5 years of experience turning data into actionable insights. I enjoy building dashboards, forecasting models, and automated reporting using Python, SQL, Tableau, Power BI, Snowflake, and Azure, to help teams make data-driven decisions. I thrive in cross-functional environments, defining metrics, standardizing data, and delivering high-quality analytics that improve business performance and stakeholder alignment. I love turning complex datasets into clear, actionable insights that guide strategy and optimize operations.

Sai Sinduri Vangala

Data Analyst, Data Scientist, Marketing Analyst, +2





Hi, I’m Sai Sinduri Vangala, a data analyst based in New York with 5 years of experience turning data into actionable insights. I enjoy building dashboards, forecasting models, and automated reporting using Python, SQL, Tableau, Power BI, Snowflake, and Azure, to help teams make data-driven decisions. I thrive in cross-functional environments, defining metrics, standardizing data, and delivering high-quality analytics that improve business performance and stakeholder alignment. I love turning complex datasets into clear, actionable insights that guide strategy and optimize operations.…Hi, I’m Sai Sinduri Vangala, a data analyst based in New York with 5 years of experience turning data into actionable insights. I enjoy building dashboards, forecasting models, and automated reporting using Python, SQL, Tableau, Power BI, Snowflake, and Azure, to help teams make data-driven decisions. I thrive in cross-functional environments, defining metrics, standardizing data, and delivering high-quality analytics that improve business performance and stakeholder alignment. I love turning complex datasets into clear, actionable insights that guide strategy and optimize operations.

Available to hire

Hi, I’m Sai Sinduri Vangala, a data analyst based in New York with 5 years of experience turning data into actionable insights. I enjoy building dashboards, forecasting models, and automated reporting using Python, SQL, Tableau, Power BI, Snowflake, and Azure, to help teams make data-driven decisions.

I thrive in cross-functional environments, defining metrics, standardizing data, and delivering high-quality analytics that improve business performance and stakeholder alignment. I love turning complex datasets into clear, actionable insights that guide strategy and optimize operations.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Senior Data Analyst at eTelligent Group

August 1, 2025 - November 4, 2025

Developed and maintained Salesforce and SharePoint dashboards to monitor KPIs, improving reporting accuracy by 30% and enhancing real-time decision-making for leadership. Created SQL-based automated workflows to streamline weekly performance reports, cutting manual effort by 25% and standardizing cross-team analytics. Partnered with stakeholders to define business metrics and implemented process improvements, boosting operational alignment and data reliability. Delivered ad-hoc analyses and data visualizations that guided strategic planning, contract optimization, and budget forecasting. Consolidated multiple data sources into unified datasets, improving accessibility and transparency for senior management.

Senior Data Analyst at Regal Rexnord

January 31, 2025 - January 31, 2025

Built interactive Tableau dashboards to track cycle times, defect rates, and utilization metrics, increasing operational visibility and reducing manual reporting by 50%. Conducted predictive analysis and time-series forecasting in Python to optimize inventory planning and achieved 60% improvement in workflow efficiency. Integrated data validation checks via SQL scripts, improving data accuracy by 25% and minimizing reporting discrepancies. Engaged with manufacturing and quality teams to standardize KPIs and drive data-driven decisions on production performance. Utilized Snowflake and DBT for scalable ELT processes, ensuring governed and reliable data for enterprise reporting.

Senior Data Analyst at Tavant Technologies

August 1, 2023 - August 1, 2023

Designed and deployed data pipelines in Azure Data Factory, processing 10M+ financial and claims records and reducing refresh time by 50% through optimized ingestion. Created Power BI dashboards for claims analysis, enabling leadership to identify patterns in reimbursement and cost optimization. Improved reporting performance by refactoring legacy data models in Databricks and ensuring 100% accuracy through automated quality checks. Partnered with finance teams to build SQL-driven insights for quarterly forecasts and KPI tracking, improving transparency in decision-making. Collaborated in Agile sprints to prioritize analytical deliverables, aligning data output with key business objectives.

Data Analytics Engineer at Tata Consultancy Services (NY Life Insurance)

October 1, 2022 - October 1, 2022

Designed ETL and data integration pipelines using Azure Data Factory to support enterprise-wide analytics across policy and customer datasets. Built Tableau and Adobe Analytics dashboards to monitor campaign performance and policy retention, contributing to a 20% increase in user engagement. Conducted SQL-based data quality audits that reduced discrepancies by 35% across multiple systems. Delivered analytical reports on customer renewal and lapse patterns using Python and Excel trend modeling, improving retention strategies. Collaborated across data engineering and business teams to enhance reporting efficiency and ensure SLA compliance.