I'm a results-driven Business Analyst with 3 years of experience delivering data-informed improvements across healthcare and e-commerce. I translate complex business needs into BRDs/FRDs, build self-service dashboards, and orchestrate reliable ETL/ELT pipelines with strong data quality controls to speed decision-making and reduce manual errors. I collaborate with clinical, finance, operations, and engineering teams, leveraging SQL, Python, AWS, Snowflake/Redshift, and Tableau/Power BI to deliver clear KPIs, automate reporting, and improve forecast accuracy and fulfillment. My work has yielded tangible outcomes such as 80% reduction in manual reporting errors, 70% faster reporting, 15% cost savings, 90% data latency reduction, and 85% self-service adoption in 8 weeks.

Navadeep Gottigundala

I'm a results-driven Business Analyst with 3 years of experience delivering data-informed improvements across healthcare and e-commerce. I translate complex business needs into BRDs/FRDs, build self-service dashboards, and orchestrate reliable ETL/ELT pipelines with strong data quality controls to speed decision-making and reduce manual errors. I collaborate with clinical, finance, operations, and engineering teams, leveraging SQL, Python, AWS, Snowflake/Redshift, and Tableau/Power BI to deliver clear KPIs, automate reporting, and improve forecast accuracy and fulfillment. My work has yielded tangible outcomes such as 80% reduction in manual reporting errors, 70% faster reporting, 15% cost savings, 90% data latency reduction, and 85% self-service adoption in 8 weeks.

Available to hire

I’m a results-driven Business Analyst with 3 years of experience delivering data-informed improvements across healthcare and e-commerce. I translate complex business needs into BRDs/FRDs, build self-service dashboards, and orchestrate reliable ETL/ELT pipelines with strong data quality controls to speed decision-making and reduce manual errors.

I collaborate with clinical, finance, operations, and engineering teams, leveraging SQL, Python, AWS, Snowflake/Redshift, and Tableau/Power BI to deliver clear KPIs, automate reporting, and improve forecast accuracy and fulfillment. My work has yielded tangible outcomes such as 80% reduction in manual reporting errors, 70% faster reporting, 15% cost savings, 90% data latency reduction, and 85% self-service adoption in 8 weeks.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert

Language

English
Fluent

Work Experience

Business Analyst at Centene
January 1, 2025 - November 4, 2025
Gathered requirements with clinical, claims, IT, and finance, mapped AS-IS/TO-BE in BPMN under HIPAA governance and audit readiness. Wrote complex SQL and Python (pandas) queries with validation rules that cut manual reporting errors by 80% and improved data accuracy. Built automated AWS Glue ETL to Amazon Redshift to stabilize daily refresh SLAs with proactive alerting and high reliability. Designed executive Tableau/Power BI dashboards (TAT, denial rate, cost/claim) that cut report prep by 70% and accelerated time-to-insight. Performed trend/outlier analysis in SAS that reduced operational costs by 15%. Ran Agile ceremonies, managed epics/stories in Jira, and coordinated UAT to speed releases and SDLC velocity. Delivered training and SOPs that boosted self-service dashboard adoption to 85% in 8 weeks.
Business Analyst at Parallax Pros
November 1, 2013 - November 1, 2013
Centralized e-commerce sales/marketing data from MySQL/APIs to Snowflake with SQL/Python; standardized rules that improved accuracy by 25% and created a single source of truth. Built interactive Tableau/Power BI dashboards for trends, attribution, and SKU performance, reducing ad-hoc turnaround by 50% and enabling self-service BI. Automated legacy Excel reporting with Python scripts and SQL procedures, cutting prep time by 50% and improving consistency. Captured KPIs and acceptance criteria, managed sprints in Jira with Confluence for alignment and traceability. Led order-to-fulfillment optimization using Lean Six Sigma to remove bottlenecks, reducing order-processing time by 25% and increasing throughput. Stood up AWS analytics stack (S3, Redshift) and orchestrated ETL with Airflow to reduce data latency by 90% for near real-time insights. Built demand-forecast models in Python (scikit-learn) that improved forecast accuracy by 30%, reduced excess inventory by 20%, and cut stockouts by

Education

Masters of Computer Science (Software Engineering) at Lewis University
January 1, 2024 - May 1, 2025
Bachelor of Electronics and Communication Engineering at Visvodaya Engineering College, Kavali
August 1, 2019 - May 1, 2023

Qualifications

Add your qualifications or awards here.

Industry Experience

Healthcare, Software & Internet, Retail, Professional Services, Transportation & Logistics