Data Analyst Supply Chain

******.**********@*****.*** Manasa Gadiraju 517-***-****

Summary

Data Analyst with 3+ years of experience translating complex datasets into actionable insights across supply chain, S&OP, and operations domains. Proven success in building scalable data pipelines, automating reporting workflows, and delivering high-impact dashboards using Power BI, SQL, and Snowflake. Skilled in data validation, stakeholder collaboration, and supply chain KPI modeling (inventory turns, fill rate, OTIF). Tools: Power BI (DAX, Power Query), Databricks, Python, Snowflake.

Education

University of Texas at Arlington Arlington, TX Master of Science - Business Analytics January 2022 – December 2023 Applied Algorithm, Data Visualization, Big data, Database design, Data Mining, Statistics, Machine Learning, AI

CMR Institute Of Technology Hyderabad, India Bachelor of Technology - Electronics and Communication Engineer August 2016 – September 2020

Work Experience

Zurich North America Saint Louis, MO

Data Analyst March 2024 – Present

Designed and deployed scalable Power BI dashboards to track supply chain KPIs such as inventory turns and backlog, partnering with planning and logistics teams to ensure alignment with operational goals.

Integrated Databricks and Power Query to optimize report refresh cycles and reduce dashboard latency by 40%.

Implemented data validation checks (null handling, outlier detection) across supplier and delivery data to improve trust in downstream analytics.

Developed DAX measures and semantic models supporting planning, procurement, and finance functions.

Conducted end-to-end root cause analyses for data anomalies and process breakdowns using statistical testing and correlation mapping techniques.

Collaborated with IT teams to support data pipeline enhancement and maintain reliability in Snowflake data ingestion.

Applied Six Sigma and Agile methodologies to standardize reporting and validate data-driven strategies.

Treeni Inc. Arlington, TX

Data Analyst January 2023 – December 2023

Spearheaded the development of KPI frameworks and built self-service Power BI dashboards, improving cross-team visibility into performance metrics and decision-making turnaround by 15%.

Engineered robust ETL pipelines using SQL, Snowflake, and Python to handle large volumes of structured/unstructured data, reducing manual intervention and increasing pipeline reliability by 30%.

Designed and executed A/B testing strategies for process optimization initiatives within S&OP operations, leading to measurable cost efficiencies.

Acted as a key data SME in strategic discussions with leadership, identifying root causes of performance dips and influencing roadmap prioritization through data-backed insights.

Created and maintained metadata documentation, data dictionaries, and data lineage artifacts to streamline onboarding and maintain compliance with internal audit standards.

Applied forecasting techniques to historical operations data, enabling better inventory planning and demand management.

Capgemini Hyderabad, India

Guidewire Business Analyst October 2020 – November 2021

Played a significant role in the implementation of Guidewire Claim Center for Auto, Property, General Liability, and Workers' Compensation lines of business.

Designed data integration workflows using Guidewire APIs, XML models, and plugins to support downstream reporting and analytics readiness.

Defined business rules, translated complex requirements into user stories, and supported Agile sprints through backlog grooming and acceptance criteria reviews.

Collaborated with QA teams to establish test cases focused on data accuracy and reporting alignment with regulatory compliance standards.

Created operational dashboards and metrics tracking mechanisms to monitor claims lifecycle performance, enabling proactive management interventions.

Interfaced with system architects to ensure data model extensibility and minimal disruption to existing BI infrastructure.

Certifications

• Six Sigma Black Belt: Certified in process improvement and operational efficiency, leveraging data-driven methodologies to enhance performance and quality.

• Google Data Analytics Professional: Proficient in data analysis techniques, including data cleaning, visualization, and SQL, to derive actionable insights and support business decisions.

• Machine Learning with Python: Completed coursework focusing on key ML algorithms, model evaluation, and implementing ML solutions using Python libraries.

Skills

Languages: Java, Python, SQL, R, MATLAB.

Technologies: Machine Learning, Guidewire - Policy Center, Claim Center, and Billing Center, Data Analysis, Pandas, NumPy, Scikit-learn, Azure, Hadoop, Databricks.

Data Analytics & Visualization: Excel, Tableau, Power BI(Power Query, DAX), Alteryx.

Big Data & Cloud Services: Snowflake, Azure ML, Azure Data Factory, Salesforce - sales, service, and marketing cloud.

Domain Knowledge: Supply Chain Analytics, S&OP support, Inventory & Demand Planning.

Tools: Google Analytics, Adobe Analytics, A/B Testing, Six Sigma, Agile Methodologies.

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