Business Analyst Power Bi

Priyanka Chaudhari Business Analyst

Location: NJ Phone: 917-***-**** Email: *********@*****.*** LinkedIn SUMMARY:

Business Analyst with 5+ years of experience spanning healthcare (UnitedHealth Group/Optum) and retail/IT (VGL Group, Mphasis), delivering data-driven process, product, and compliance outcomes. Expert in requirements engineering (BRD, FRD, SRS, RTM), process design (BPMN, SIPOC, service blueprints, VSM), and Agile delivery (Scrum/Kanban, backlog refinement, sprint planning, UAT, release readiness). Proficient in SQL/T-SQL and Python with strong ETL and performance tuning across Databricks, PySpark/Spark, MySQL, and Hadoop. Advanced in analytics and BI—Power BI, DAX, Excel/Power Query—driving KPI frameworks (CVR, AOV, GM%, SLAs, denial rates, cycle time, TAT), cohort analysis, anomaly detection, and benefits tracking. Skilled in data visualization and design using Power BI, Excel, MS Visio, and Figma to translate complex insights into executive-ready deliverables. Tools include SAP Healthcare & Claims, ServiceNow, Jira, Confluence, SharePoint, Airtable, and MS Office. Proven cross-functional collaborator with product, engineering, compliance, and clinical/operations teams, achieving measurable improvements in fraud reduction, denial rates, audit readiness, throughput, and time-to-insight.

TECHNICAL SKILLS:

Languages: SQL, T SQL, Python

Frameworks & Libraries: Pandas, NumPy, Matplotlib, scikit learn, PySpark, Spark, DAX Databases, ETL & Performance: Databricks, MySQL, Hadoop, ETL, PySpark, Spark, CTEs, window functions, query optimization, performance tuning

Data Visualization & Design: Power BI, Excel (Advanced), Power Query, MS Visio, Figma Analytics & BI Methods: KPI frameworks (CVR, AOV, GM%, SLAs, denial rates, cycle time, TAT), cohort analysis, root cause analysis, anomaly detection, benefits tracking, fraud indicators Business Analysis & Documentation: BRD, FRD, SRS, Requirements Traceability Matrix (RTM), use cases, user stories, acceptance criteria, data contracts, source to target mapping Process, Agile Delivery & Testing: BPMN, SIPOC, VSM, service blueprints, target state; Lean; Agile/Scrum/Kanban; backlog refinement, sprint planning, DoR/DoD; release readiness; test strategy, UAT Tools & Domain: SAP (CS; Healthcare & Claims), ServiceNow, Jira/Confluence, SharePoint; Airtable/Notion; MS Office; Healthcare: HIPAA/PHI, CMS measures EXPERIENCE:

Business Analyst, UnitedHealth Group NY July 2025 - Present

Analyzed claims and payment workflows using SQL and Power BI to detect cost drivers and fraud patterns, providing actionable insights for automation opportunities—resulting in a 16% reduction in improper claims payments and lower administrative overhead.

Mapped the patient journey with MS Visio to identify pain points in prior-authorization and claims denial processes, enabling leadership to prioritize system enhancements that led to a 25% decrease in claim denial rates for Medicare Advantage members.

Gathered and documented comprehensive business and functional requirements in Confluence (BRD, FRD, RTM) while facilitating cross-functional interviews, ensuring regulatory alignment and reducing rework/onboarding gaps by 30%.

Engineered automated ETL data pipelines in Databricks to harmonize disparate medical and pharmacy data, accelerating analytics and supporting Optum’s personalized care model; this increased real-time reporting capabilities for clinical staff by 40%.

Developed advanced Excel models for cohort analysis of insurance member behavior, supporting actuarial teams with policy pricing strategies tailored to shifting regulatory and cost trends, leading to more competitive premium pricing for 2026.

Constructed regulatory compliance matrices in SharePoint to ensure ongoing alignment with CMS, HIPAA, and ACA standards, which decreased audit findings by 30% and improved readiness for external review. Business Analyst Intern, UnitedHealth Group NY Feb 2025 – May 2025

Supported analysis of healthcare claims and payments using SQL and Power BI to surface cost drivers and basic fraud indicators, contributing to actionable dashboards and process improvement recommendations.

Assisted in mapping the end-to-end patient journey in MS Visio (prior authorization to adjudication), highlighting bottlenecks in denial handling and documenting remediation opportunities for cross-functional review.

Helped gather and organize business and functional requirements (BRD, FRD, RTM) in Confluence by coordinating stakeholder interviews, ensuring traceability and alignment with HIPAA/CMS compliance needs.

Collaborated with data engineering to validate ETL data pipelines in Databricks (medical and pharmacy datasets), performing data quality checks and enabling faster reporting for clinical and operations teams.

Prepared Excel-based cohort analyses and lightweight Figma prototypes to test experience improvements for members and providers, synthesizing user feedback and presenting findings to product and operations leads. Business Analyst, Vaibhav Global Limited (VGL Group) India Jan 2020 – Sep 2022

Elicited 30+ stakeholder inputs across studio, merchandising, eCommerce, and distribution to define clear requirements and acceptance criteria, improving organizational alignment by 40% and reducing misalignment issues by 20%.

Structured 50+ user stories, BPMN process flows, and functional specs in Confluence/Jira for TV to web journeys, $1 auctions, and catalog navigation, cutting project iterations by 25% and accelerating development cycles.

Translated business needs into technical designs and data contracts (pricing, inventory, PDP content, auction logic) with engineering/data teams, shortening project timelines by 15% and increasing delivery predictability.

Validated high velocity retail workflows (flash pricing, stock decrements, auction closeouts) via risk based UAT tied to acceptance criteria, achieving 95% coverage and reducing post deployment issues by 20%.

Automated trading workflows and KPI reporting (CVR, AOV, GM%, returns%, SLAs) using SQL and Power BI, increasing operational efficiency by 20%, cutting manual effort by 30%, and improving reporting speed by 40%.

Optimized SQL/T SQL queries and data transformations for merchandising/finance dashboards, improving data retrieval efficiency by 30%, halving report generation time, and automating forecasting to raise accuracy by 25%.

Orchestrated backlog refinement, sprint reviews, and go/no go forums with merchandising, studio, and fulfillment leads; implemented change control and benefits tracking to stabilize on air and web releases under peak traffic.

Monitored TV to web conversion, auction sell through, and on time shipments with standardized BI, enabling weekly trading huddles that accelerated pricing, assortment exposure, and cutoff decisions across US/UK/Germany. Business Analyst, Mphasis India Aug 2018 – Dec 2019

Analyzed operational, compliance, and IT inputs to decompose requirements into epics, user stories, and acceptance criteria, strengthening end-to-end traceability and cutting requirement ambiguity by 30%.

Prioritized product backlog using value–effort, risk, and regulatory impact matrices; facilitated grooming and release planning with Product Owners/SMEs, increasing realized ROI by 15% and reducing compliance rework by 25%.

Designed target-state BPMN models and service blueprints aligned to Front2Back to enhance customer-in-view journeys, reducing cycle time by 18% and improving right-first-time quality by 20%.

Synthesized data requirements, source-to-target mappings, and BI specs; partnered with data engineering to build operational dashboards (SLAs, exception queues), decreasing issue detection time by 35% and improving SLA adherence by 22%.

Applied risk-based testing with 150+ UAT scenarios tied to acceptance criteria; led defect triage and release readiness, achieving a 92% UAT pass rate and lowering post-release defects by 28%.

Optimized middle/back-office workflows by conducting RCA on baseline metrics and recommending lean changes/automation, increasing throughput by 17% and reducing hand-offs by 25%.

Communicated executive-ready BRDs, solution option analyses, and benefits realization reports; ran stakeholder workshops to align scope and adoption plans, accelerating decision lead time by 20%.

Governed delivery with traceability matrices, change control, and KPI monitoring cadences; conducted post-implementation reviews confirming 12–18% value realization versus plan.

EDUCATION:

Masters in Information Systems Sep 2023 – May 2025 Pace University New York, USA

Bachelor of Technology - Computer Engineering July 2014 - May 2019 Savitribai Phule Pune University India

HACKATHON & PROJECTS:

Therapy Delivery CoPilot — Autism Hackathon 2025

Architected an Azure-native pipeline with AI Foundry, Blob Storage, and Azure OpenAI to ingest, index, and analyze session videos, boosting clinician insight retrieval speed by 45% and reducing manual review time by 30%.

Operationalized AI inference for behavior/event detection and session summarization, increasing actionable observation capture by 35% and improving therapist plan adherence by 20%.

Built compliance-aware data handling (role-based access, PHI redaction, audit logs), cutting data access exceptions by 90% and accelerating IRB/ethics approval turnaround by 25%. Guardian Eye — AI-Powered Security System

Orchestrated end-to-end delivery using Agile ceremonies (backlog, sprints, demos), achieving a 92% on-time sprint completion rate and reducing scope churn by 28%.

Led structured requirements elicitation and converted them into testable functional specs and acceptance criteria, elevating model detection precision by 25% and lowering false alarms by 18%.

Deployed a CI/CD-enabled MLOps workflow (model versioning, telemetry, drift checks), shrinking mean time to deploy by 40% and increasing system uptime to 99.5%.

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