Chaturya Valli Pithani

Revenue Operations Analyst @ Paychex

About

🔹 Revenue Operations & Business Analytics professional focused on turning data into insights that drive revenue, efficiency, and strategic decisions. 🔹 Currently a Revenue Operations Analyst at Paychex, partnering with Sales, Marketing, Finance, and Product teams to optimize CRM workflows, reporting, and go-to-market analytics. 🔹 Build SQL- and Power BI-driven dashboards, automate processes, and improve data integrity to support performance tracking and leadership decision-making. 🔹 Experience delivering operational and financial insights across Wegmans, Rochester Institute of Technology, and Accenture—driving cost reduction, process improvements, and reporting efficiency. 🔹 Strong background in stakeholder collaboration, requirements gathering, UAT, and cross-functional analytics in fast-paced environments. 🔹 Technical skills: SQL, Power BI, Python, Excel, Salesforce, Tableau, ETL, KPI development, business process analysis. 🔹 Master’s in Business Analytics (Rochester Institute of Technology) with a foundation in Computer Science. 🔹 Interested in roles at the intersection of Revenue Operations, Data Analytics, and Business Strategy where insights drive measurable business impact. 📩 Open to connecting: cp8379@rit.edu

Country

United States

City

Rochester

Industry

Information Technology & Services

Skill

Microsoft Access, Business Insights, Data Cleaning, statistical techniques, Agile Methodologies, Requirements Gathering, IT Documentation, Client Requirements, Business-to-Business (B2B), Business Planning, Multiple Project Coordination, Web Applications, Problem Management, Multitasking, Extract, Transform, Load (ETL), Regulatory Reporting, Data Governance, Project Management Office (PMO), Procurement Contracts, Requirements Analysis

Experience

Revenue Operations Analyst

Paychex

2025-9 - Present · 1 yr 1 mo

Rochester, NY

Business Analyst Volunteer

Bright Mind

2024-12 - 2025-9 · 10 mos

● Led a team of 5 analysts using Agile methods to deliver data-driven projects 40% faster and improve decision-making efficiency. ● Built Power BI financial dashboards leveraging Python and SQL automation, securing $50K in grants and improving funding transparency. ● Automated donor research with SQL queries and Python scripts, reducing manual work by 25% and increasing targeted outreach by 28%. ● Created interactive Power BI reports to track KPIs, reducing reporting turnaround by 35% and boosting visibility for stakeholders.

Data Analyst Co-op

Wegmans Food Markets

2023-12 - 2024-8 · 9 mos

Rochester, New York, United States

•Optimized resource allocation, reducing maintenance costs by 20% and increasing planned maintenance by 40%, enabling proactive asset management through predictive analytics and Power BI dashboards. •Automated inventory control and SKU optimization, lowering procurement expenses by 30% and inventory costs by 15%, while minimizing stockouts by 20%, leading to improved supply chain efficiency and cost savings. •Developed interactive Power BI dashboards, enhancing KPI tracking for 200+ employees and providing real-time insights that improved decision-making on operational efficiency, compliance, and workforce management, leading to 15% higher equipment uptime. •Standardized van parts and optimized maintenance workflows, improving mechanic efficiency by 25% and reducing repair turnaround time, enabling faster service completion and improved fleet reliability.

Graduate Assistant

Rochester Institute of Technology

2022-8 - 2023-2 · 7 mos

Rochester, New York, United States

• Analyzed 1.2M+ financial records, improving data accuracy by 15% using SQL and Excel for trend forecasting. • Automated 80% of data cleansing workflows, reducing processing time by 30% through Python and ETL pipelines. • Developed Power BI dashboards, optimizing financial reporting, enhancing data reconciliation speed by 40%. • Conducted $5M+ transaction analysis, identifying market risks, leading to a 20% improvement in financial decision-making.

Application Development Associate

Accenture

2021-7 - 2022-8 · 1 yr 2 mos

Hyderabad, Telangana, India

Automated data validation processes using Python/SQL, reducing QA cycle time by 35%. ● Used Salesforce to extract lead and opportunity data for UAT validation and supported basic field-level customizations. ● Documented Salesforce user stories and participated in testing CRM enhancements across 3 client implementations. ● Collaborated cross-functionally under Agile workflows to ensure business requirements aligned with technology solutions.