Sai Vinay Varma Datla

About Sai Vinay Varma Datla

I am a Salesforce Administrator with expertise in Business & Systems Analysis and Data/BI Analytics, helping organizations streamline workflows, optimize processes, and generate actionable insights from high-volume data.I have hands-on experience in Salesforce Sales Cloud, Service Cloud, CPQ, Flows, Apex, and excel at workflow automation, dashboard/report development, SLA monitoring, and data management. I also gather requirements, map processes, workflow diagrams, and UML use case & activity diagrams using Visio, and create BRDs, FRDs, and SRS documents to translate business needs into scalable, technical solutions.Leveraging tools like SQL, Snowflake, Looker, Tableau, Power BI, Alteryx, AWS, Jira, Confluence, and Lucidchart, I provide insights that enable strategic decision-making and operational efficiency. I enjoy collaborating with cross-functional teams, training users, and ensuring solutions drive measurable impact.I focus on bridging business needs with technical solutions, enabling organizations to make data-driven decisions, improve adoption, and deliver value at scale.Core Competencies: Salesforce Administration, Business Systems Analysis, Business Analysis, Workflow Automation, BRD/FRD/SRS Documentation, Data Analysis, BI Reporting, Dashboards, SQL, Snowflake, Tableau, Power BI, Alteryx, AWS, Jira, Confluence, Lucidchart, Stakeholder Management, Training & Onboarding.

Experience

1. Business Systems Analyst

   MTX Group

   Jul 2024 — Present

   Supported digital transformation initiatives for United Wholesale Mortgage (UWM) by analyzing mortgage servicing workflows and translating operational policies into data models and rule-based system requirements.• Collaborated with mortgage operations stakeholders to document loan processing rules and decision logic using structured decision tables (DMN) to support automated workflow execution.• Designed logical data relationships between borrower, loan, property, and underwriting data entities, enabling more consistent loan lifecycle tracking across enterprise systems.• Used SQL to analyze mortgage loan datasets and validate data transformations, ensuring accurate data mapping across integrated applications.• Built test scenarios covering loan eligibility checks, underwriting conditions, and servicing workflows to ensure system behavior aligned with documented business rules.• Worked with QA teams to generate controlled test datasets using TDMS (Test Data Migration Server) to simulate different loan scenarios and validate rule execution during UAT cycles.• Executed functional testing and rule validation, reviewing outputs with business stakeholders to confirm decision logic accuracy before production deployment.• Conducted impact analysis when business rules or data attributes changed, identifying downstream dependencies across servicing and reporting systems.• Participated in Agile Scrum ceremonies including stand-ups, sprint planning, backlog grooming, and retrospectives, ensuring user stories were refined and delivered within sprint timelines.• Built operational dashboards using SQL and Tableau to track loan processing metrics, workflow bottlenecks, and service-level performance.• Partnered with engineering teams to identify automation opportunities within mortgage processing workflows, reducing manual verification effort and improving data consistency.

Education

• Wichita State University

  Master's degree, Data Science

• Mahatma Gandhi Institute of Technology

  Bachelor of Technology - BTech