Anusha Perugu

As a Product Analyst, I specialize in navigating the intersection of technology and business strategy. With a deep background in Agile methodologies and a strong technical foundation (SQL, cloud environments, and project management tools), I focus on delivering high-impact solutions that streamline complex processes. I thrive in collaborative environments where I can translate technical requirements into meaningful product features, mentor team members, and drive performance through data-informed insights.

Core Competencies: Product Management, Agile Methodologies, Scrum, Product Development, Business Requirements Gathering.
Technical Skills: SQL, Cloud-Based Solutions (AWS/Azure), Data Warehousing, System Integration, UAT (User Acceptance Testing).
Tools: Jira, Confluence, New Relic, Postman, Snowflake,STAMP

Project Overview

Led a high-impact initiative to modernize Microsoft Surface’s quarterly sales forecasting by integrating Azure SQL and CRM data into real-time Power BI dashboards. This project enhanced forecasting accuracy, reduced manual reporting, and improved operational decision-making across global teams.

Key Responsibilities Aligned to Job Description:

• Collaborated closely with system developers, Tech Leads, and subject matter experts to analyze application changes, validate data integrations, assess risks, and support end-to-end deployment activities.
• Gathered and translated business requirements from global sales, supply chain, and finance teams into technical specifications, partnering with engineering through the full technology change process.
• Prepared detailed documentation, including BRSDs, FRSDs, workflow diagrams, Visio UML models, and written reports to leadership, ensuring full traceability of business and system requirements.
• Worked with UAT teams to define acceptance criteria, determine when user stories were “done,” and support validation of forecasting logic, data accuracy, and dashboard functionality.
• Actively participated in backlog grooming, refining Epics, Features, and User Stories for ongoing roadmap planning under Agile Scrum methodology.
• Executed test scripts across design and implementation phases, logged defects, and collaborated with developers to validate fixes.
• Developed comprehensive test plans, oversaw execution cycles, and certified enhancements against finalized requirements.
• Facilitated JAD sessions with business stakeholders to capture pain points, prioritize features, and ensure alignment with strategic forecasting needs.
• Queried Azure SQL and performed data analysis to reconcile discrepancies across inventory, CRM, and sales pipelines, helping resolve issues and validate technical deliverables.
• Maintained Confluence documentation, including configuration guides, decision logs, requirements revisions, and change-control artifacts.
• Managed RAID logs, tracking risks, dependencies, assumptions, and issues across the project lifecycle.
• Led Change Requests through Jira workflows, partnering with the Change Control Board to assess impacts on scope, cost, and schedule.
• Mentored junior analysts, providing guidance on requirements writing, test planning, and stakeholder communication.
• Leveraged GenAI tools to accelerate documentation, summarize stakeholder discussions, and support test-case generation.

This project required strong cross-functional collaboration, deep analytical skills, clear communication, and careful validation of system changes—qualities that align directly with the responsibilities listed for this role.

Project Overview: CVS Health, a leading healthcare and retail pharmacy provider, operates a complex supply chain supporting thousands of retail locations. To reduce stockouts, minimize excess inventory, and improve customer satisfaction, CVS initiated a predictive analytics program to modernize its replenishment logic. The initiative leveraged historical sales patterns, seasonal trends, supplier lead times, and real-time operational data. This project strengthened data-driven decision-making across the enterprise and supported significant efficiency gains in inventory management.

• Led a supply chain optimization initiative focused on predictive inventory analytics across CVS retail stores, improving demand forecasting accuracy and replenishment performance.
• Conducted JAD sessions with Supply Chain, Merchandising, and IT teams to gather requirements and document process improvements for the next-generation inventory forecasting model.
• Authored BRSD and FRSD requirements documents, ensuring alignment between business objectives and technical solutions.
• Performed GAP analyses comparing legacy inventory workflows with proposed predictive models to identify data, process, and system improvements.
• Utilized SQL extensively to extract, cleanse, and transform large datasets, supporting time-series modeling and inventory performance analysis.
• Demonstrated solid experience with Database Management and Data Warehousing, working with large SKU-level datasets stored across distributed systems.
• Designed UML diagrams (process flows, sequence diagrams, use cases) in MS Visio to illustrate system interactions and data movement within the replenishment ecosystem.
• Conducted feasibility and ROI assessments to evaluate expected operational improvements from predictive analytics adoption.
• Collaborated with engineering teams and data scientists to pilot machine learning forecasting models (Python, Prophet), and partnered with architects to evaluate AWS cloud-based integration options for scalable model deployment.
• Designed Tableau dashboards that visualized stockout patterns, inventory risk zones, and forecast accuracy trends across regions, categories, and store clusters.
• Maintained forecasting logic, configuration documentation, and change history within Jira and Confluence, ensuring transparency, traceability, and alignment with Agile best practices.
• Acted as a liaison between CVS business teams and ERP integration vendors, resolving data discrepancies and validating system readiness for model integration.
• Monitored system performance using New Relic and similar observability tools, ensuring stable data refresh cycles and timely availability of forecasting insights.
• Managed RAID logs to track risks, assumptions, issues, and dependencies throughout the initiative.
• Oversaw Change Requests in Jira, securing approvals from the Change Control Board (CCB) and supporting structured deployment into production.
• Partnered with product owners to define Epics, Features, and user stories under the Agile Scrum framework, supporting iterative releases and stakeholder feedback loops.

• Project Overview: Collaborated as an eTouch Systems contractor with Google’s internal teams to streamline and scale internal operations and reporting workflows across cross-functional groups. This initiative focused on gathering requirements, analyzing complex operational datasets, and building centralized analytics and workflow dashboards. By translating complex internal processes into actionable technical specifications and interactive visual tools, the project significantly improved data visibility for business stakeholders, optimized operational efficiency, and reduced manual reporting efforts.

Responsibilities:

• Acted as an eTouch Systems consultant embedded within Google teams, leading requirements discovery and end-to-end delivery of analytics dashboards and operational solutions.
• Facilitated Requirements Gathering Workshops and JAD sessions with Googlers, technical leads, and product owners to identify workflow bottlenecks and standardize KPI definitions across departments.
• Authored detailed Business Requirements Documents (BRD), Functional Specification Documents (FSD), and technical workflow specifications to guide engineering execution.
• Conducted comprehensive GAP Analysis between existing legacy/manual tracking systems and modernized automated dashboards to streamline reporting cycles.
• Queried large-scale datasets using SQL and BigQuery to extract, transform, and validate metrics for seamless integration into dynamic dashboard solutions.
• Designed interactive, user-friendly dashboards (using Tableau / Google Looker / Plx) with drill-down metrics to empower stakeholders with self-service analytics and granular insights.
• Created process flow diagrams and data flow maps using MS Visio / Lucidchart to visualize end-to-end system interactions and align technical and non-technical stakeholders.
• Partnered closely with Data Engineering teams to configure data pipelines and establish automated refresh schedules, ensuring data integrity and high reliability.
• Utilized Jira and Confluence to document user stories, manage backlog items, track sprint execution, and maintain clear version control under an Agile framework.
• Served as a key liaison between vendor consulting teams and Google cross-functional stakeholders, resolving data discrepancies and mitigating project risks proactively.
• Maintained RAID logs (Risks, Assumptions, Issues, Dependencies) and managed Change Requests to control scope and meet critical delivery milestones.

• Utilized a variety of methods to develop the pipeline: online sourcing of passive leads, newspaper ads for walk-in evaluation, job boards, and referral program.
• Screened and conducted preliminary interviews of technical talent.
• Coordinated technical interviews and final round interviews.
• Initiated background checks for candidates and created/extended offer letters.
• Generated recruiting reports on open and closed requisitions.
• Performance Stat: Hired close to 550 people at all levels from engineers to directors over a period of 3 months for the washing machine unit.