Home

Varshitha (Data Analyst / Business Intelligence) - (Data Analyst / Business Intelligence)

[email protected]

Location: Quincy, Massachusetts, USA

Relocation: Yes

Visa: H1B

Resume file: Varshitha Dinakar_1776362513489.pdf Please check the file(s) for viruses. Files are checked manually and then made available for download.

Varshitha Dinakar 248-876-0218 [email protected] Professional Summary: Business Intelligence Engineer / Data Analyst with 4+ years of experience in business intelligence, data analysis, reporting, and stakeholder-focused analytics solutions across enterprise environments. Strong expertise in SQL, Python, and Excel for data extraction, transformation, validation, automation, and advanced analytical reporting. Hands-on experience designing and maintaining dashboards, scorecards, and KPI reporting solutions using Power BI, Tableau, and Amazon QuickSight. Proven ability to gather business requirements, translate functional needs into scalable datasets, and deliver actionable insights for decision-making. Experience building and optimizing ETL workflows, data pipelines, and reporting processes to improve data accessibility, reliability, and operational efficiency. Skilled in data quality management, root cause analysis, reconciliation, and troubleshooting inconsistencies to ensure reporting accuracy and governance compliance. Strong background in ad hoc analysis, trend identification, performance monitoring, and process improvement initiatives across cross-functional teams. Experience working with AWS services including S3, APIs, and cloud-based analytics environments to support modern data solutions. Knowledge of geospatial analytics tools including ArcGIS Enterprise, ArcGIS Dashboards, ArcGIS Online, and spatial data visualization use cases. Effective communicator with experience in Agile/Scrum environments, stakeholder management, documentation, UAT support, and cross-functional collaboration. Education: University of Massachusetts Boston Master of Science, Computer Science | Sep 2022 May 2024 Adichunchanagiri Institute of Technology Bachelor's degree, Electrical, Electronics and Communications Engineering Jun 2017 Jun 2021 Relevant Coursework: Artificial Intelligence, Database Management, Data Structures & Algorithms, Cloud Computing, Big Data Analytics Certifications: AWS Certified Developer Associate (Jul 2024) Microsoft Power BI Data Analyst Associate (Dec 2024) Certified Scrum Master (Jan 2025) Technical Skills: Business Intelligence & Analytics Business Intelligence, Data Analysis, KPI Reporting, Dashboard Development, Ad Hoc Analysis, Trend Analysis, Executive Reporting, Process Improvement Data Tools & Technologies SQL, Python, Excel, Power BI, Tableau, Amazon QuickSight, APIs, Postman Data Engineering ETL Pipelines, Data Transformation, Data Modeling, Data Validation, Data Quality Management, Workflow Automation, Reporting Workflows Cloud & Platforms AWS (S3), Relational Databases, Cloud Analytics Environments GIS & Visualization ArcGIS Enterprise, ArcGIS Pro, ArcGIS Online, ArcGIS Dashboards, Experience Builder, Spatial Analysis, Geospatial Visualization Collaboration Requirements Gathering, Stakeholder Management, Agile/Scrum, UAT Support, Documentation, Cross-Functional Collaboration Professional Experience: Amazon, Boston, MA Aug 2025 Present Business Intelligence Engineer Responsibilities: Analyze large-scale operational and geospatial datasets using SQL to identify trends, anomalies, and performance opportunities. Build and maintain analytics-ready datasets that support dashboards, recurring reports, and performance monitoring. Develop KPI dashboards and reporting solutions using Amazon QuickSight, improving visibility for business stakeholders. Perform ad hoc analysis to investigate operational issues, business risks, and key performance drivers. Partner with cross-functional teams to gather requirements and translate business needs into scalable reporting solutions. Consolidate data from multiple sources through ETL processes to improve reporting efficiency and data accessibility. Execute data quality checks, troubleshoot discrepancies, and ensure accuracy of reporting outputs. Automate recurring data preparation and reporting tasks using Python and Excel. Deliver geospatial reporting solutions using ArcGIS tools for mapping and location-based analysis. Document datasets, business logic, and workflows to enable self-service analytics and governance. S3B Global Atlanta, GA Sep 2024 Jul 2025 Data Analyst Responsibilities: Designed and optimized data pipelines to ingest, transform, and deliver business-critical datasets. Built ETL workflows using SQL and Python, increasing reporting reliability and reducing manual effort. Collaborated with stakeholders to define KPIs, reporting logic, and dashboard requirements. Developed dashboards and reports supporting operational, financial, and performance tracking. Implemented validation controls and monitoring checks to improve data quality and trust in reporting. Automated recurring reporting workflows to accelerate turnaround times. Conducted trend analysis to identify inefficiencies and recommend process improvements. ICON PLC Bengaluru, India Jan 2022 Aug 2022 Data Analyst Responsibilities: Developed and maintained structured datasets for analytics and reporting using SQL and ETL workflows. Prepared clean and reliable data sources for dashboard development and stakeholder reporting. Performed reconciliation and data validation to improve reporting accuracy. Conducted business analysis to support operational decision-making. Worked with cross-functional teams to gather requirements and resolve data issues. HPE Bengaluru, India Jan 2020 Dec 2020 Data Analyst Intern Responsibilities: Supported SQL-based data extraction, reporting, and analytics for business use cases. Assisted with data preparation, cleansing, and validation for dashboards and reports. Built Excel-based reports and summaries for internal stakeholders. Collaborated with teams to improve reporting processes and documentation. PROJECTS: Business Process & Reporting Workflow Analysis Analyzed service request workflows using Excel, SQL, and Power BI to identify delays, reporting gaps, and inefficiencies. Created process flows, use cases, and dashboards connecting business questions to measurable outcomes. Recommended improvements to turnaround time, reporting visibility, and stakeholder communication. Operational Reporting & Dashboard Support Prepared and validated datasets using SQL, Python, and Excel to improve consistency and reporting readiness. Summarized insights and documented business logic for stakeholder reporting consumption. Standardized reporting inputs and improved data accuracy across recurring reports. Keywords: business intelligence sthree active directory Georgia Massachusetts