Supply Chain Analyst

Jyothirmai Marada Logistics and Supply Chain Analyst

Dallas, TX +1-940-***-**** *************@*****.*** SUMMARY

Logistics and Supply Chain Analyst with over 6 years of experience in optimizing supply chain operations, reducing costs, and improving efficiency through data-driven insights and advanced analytics. Proficient in SQL, Python, Power BI, Tableau, and Snowflake to manage large datasets, create dashboards, automate reporting, and enhance data quality. Experienced in using logistics software for inventory management, route optimization, and demand forecasting. Skilled in ETL processes, data validation, and predictive modeling to drive business decisions. Adept at collaborating with cross-functional teams to define KPIs, clean data, and deliver actionable insights. Enthusiastic about leveraging cloud technologies such as AWS, Google Cloud, and Snowflake to streamline processes and improve overall business performance.

TECHNICAL SKILL

Programming & Data Analysis: Python (Pandas, NumPy, Matplotlib, Seaborn), SQL (PostgreSQL, SQL Server, MySQL), R, VBA Business Intelligence & Data Visualization: Power BI (DAX, Row-Level Security, Power Query), Tableau, Google Data Studio, Excel

(PivotTables, Power Query, Solver), Looker, Data Visualization Best Practices Logistics & Supply Chain Analytics: Route Optimization, Freight & Logistics Dashboards, Supplier Analytics, Demand Planning Models, Inventory Optimization, Cost-to-Serve Analysis, Freight Trend Modeling, Procurement Metrics Predictive Analytics: Time Series Forecasting, Regression Analysis, A/B Testing, Trend Modeling Cloud & Automation Tools: AWS (S3, Lambda, Glue), Google Cloud (BigQuery, Cloud Functions), Snowflake, Apache Airflow, dbt Data Engineering: ETL Processes, Data Cleansing, Data Profiling, Python-based Scripts, Data Validation Databases & Query Optimization: PostgreSQL, SQL Server, MySQL, Stored Procedures, Query Tuning, Indexing Project & Collaboration Tools: Agile Scrum, JIRA, Confluence, Git, Cross-Functional Team Coordination EXPERIENCE

Logistics and Supply Chain Analyst Uber Freight San Francisco, CA (Remote) March 2025-Present

• Optimized freight routes using SQL and Python, resulting in a 15% reduction in operational costs and improved network efficiency.

• Developed and maintained real-time dashboards in Looker and Tableau to monitor carrier performance, enabling data-driven decisions that improved logistics operations.

• Conducted freight trend modeling and cost-to-serve analysis, providing actionable insights that supported strategic supply chain decisions at the senior leadership level.

• Integrated external data sources (e.g., weather and traffic) into route optimization models, improving forecast accuracy and increasing delivery reliability by 18%.

• Collaborated with cross-functional teams to improve network capacity utilization, leading to a 20% increase in freight load efficiency.

• Led supply chain process improvements, resulting in $150,000 in operational cost savings through advanced analytics and procurement strategies.

• Designed and deployed KPI dashboards in Power BI and Tableau to track inventory levels, on-time deliveries, and cost efficiency, reducing manual reporting efforts by 35%.

• Implemented logistics software and ERP systems (NetSuite), improving inventory management and stock accuracy by 25%.

• Analyzed and identified inefficiencies in supply chain processes, leading to a 20% improvement in order fulfillment timelines. Data Analyst UnitedHealth Group Texas Jul 2024 – March 2025

• Automated Power BI dashboards and scheduled Python reports, reducing manual tasks by 30% and delivering real-time data to support faster team decisions.

• Built SQL pipelines to integrate data from multiple systems, improving consistency and reducing report delivery time by 25% across business units.

• Led a data cleansing initiative that improved reporting quality by 45%, addressing inconsistencies and ensuring accurate results for use in forecasting and business decisions.

• Collaborated with business teams to define KPI-driven reporting metrics, ensuring reports met stakeholder expectations and improved clarity.

• Conducted predictive modeling & forecasting that improved accuracy and supported quarterly planning at the senior leadership level.

• Delivered ad hoc reports on customer and revenue trends, operational planning and highlighting areas for growth and efficiency. Data Analyst R-Financial HYD, India Aug 2019– Dec2022

• Created Tableau dashboards to track real-time KPIs, reducing manual reporting by 40% and enabling teams to make independent decisions based on live data.

• Automated Excel-based processes using Python and VBA scripts, minimizing human error, and increasing efficiency in weekly and monthly performance reporting cycles.

• Cleaned and structured legacy datasets to improve accuracy of sales and marketing reports used by leadership for strategic analysis.

• Collaborated with business teams to define success metrics and reporting rules, ensuring consistency and transparency across all dashboards and internal reporting tools.

• Led A/B testing efforts to evaluate new product features, identifying improvements that increased customer retention rates by 15% in the final quarter.

• Implemented data validation techniques that ensured integrity and compliance across large datasets used in regulatory and internal performance audits.

Junior Data Analyst Genius SoftTech HYD, India May 2016 – Jul 2019

• Documented stakeholder requirements into clear technical specifications, reducing rework and streamlining communication between dev and QA teams.

• Worked with QA and development teams to streamline feedback loops, cutting post-release defect rates by 18% and improving overall product delivery timelines.

• Conducted user behavior analysis that improved engagement and increased customer retention based on identified usage trends.

• Created SQL and Excel reports for use by senior executives, presenting trends and performance metrics during monthly and quarterly business review meetings.

• Assisted in CRM system rollout, facilitating data migration and process mapping that improved lead management and increased conversion tracking accuracy by 22%.

• Maintained SOP documentation and delivered onboarding support, ensuring compliance and reducing training time for new analysts and operational team members.

EDUCATION

Masters of Science in Business Analytics Dec 2024

University of North Texas, USA

Specializations:

• Supply Chain Analytics & Optimization

• Predictive Modeling & Demand Forecasting

• Data Analytics & Business Intelligence

Contact this candidate