Akhila Molunguri
Lakeville
Summary
Results-oriented Data Analyst with 4 years of experience delivering KPI-driven insights and architecting analytical pipelines. Expertise in SQL, Python, and Spark, with hands-on experience in data ecosystems and statistical analysis. Proficient in building executive-ready dashboards and translating complex business challenges into actionable analytical frameworks.
Overview
1
1
Certification
6
6
years of professional experience
Work History
Insights and Reporting Analyst
Target
10.2025 - Current
- Designed executive‑ready Power BI dashboards with drilldowns, KPI frameworks, and supply‑chain‑aligned metrics, improving decision‑making efficiency by 30%.
- Architected end‑to‑end analytical workflows using Python, SQL, Kafka, and Greenfield/BigRed, improving data availability and reducing manual reporting effort across business teams.
- Applied forecasting models, A/B testing, regression, and hypothesis testing to evaluate operational performance and support strategic initiatives.
- Integrated and validated structured/semi‑structured data from MongoDB and other enterprise sources, ensuring high data quality and governance compliance.
- Conducted root-cause analysis on data and reporting issues, enhancing system reliability and accuracy.
- Collaborated with cross-functional teams (merch, supply chain, operations, engineering) to clarify business objectives, define measurement strategies, and deliver actionable insights through data storytelling.
- Facilitated KPI alignment and measurement for business initiatives, ensuring consistent tracking of objectives and key results.
Data Analyst
NMDP
01.2024 - 09.2025
- Built Azure Data Factory, Synapse, and Databricks pipelines for large‑scale analytical workloads, achieving 30% reduction in pipeline latency.
- Developed Spark and Kafka ETL processes to integrate Google and Adobe Analytics, improving demand forecasting and cross‑channel trend analysis.
- Tuned SQL queries and stored procedures for high‑volume datasets, reducing execution time by 50%.
- Implemented CI/CD automation with Kubernetes and Jenkins, decreasing deployment time by 60% and increasing pipeline stability.
Data Analyst
TCS
10.2020 - 08.2022
- Developed Tableau dashboards with dynamic KPIs and operational performance metrics, enhancing insight discovery and accelerating reporting speed.
- Ensured 99.5% ETL uptime through monitoring and troubleshooting; optimized SQL models, achieving 40% reduction in load times.
- Migrated 1TB+ Oracle data to SQL Server with 99.9% accuracy; built ETL pipelines using Alteryx and SSIS to support enterprise reporting.
- Designed star/snowflake schemas for scalable data warehousing and analytical workloads, facilitating improved data processing.
Education
Master’s in Information Systems & Technology -
University of North Texas
Denton, TXProjects
Supply Chain Performance Dashboard (Power BI)
Analyzed delivery performance, identifying 55% late shipments and regional fulfillment gaps; evaluated shipping modes and delivery cycles to highlight profit‑impacting delays.
End‑to‑End Azure Data Platform
Built ingestion → transformation → reporting pipeline using ADF, Databricks, Synapse; integrated Google Analytics for cross‑channel insights supporting forecasting and operational planning.
Certification
- SQL Advanced
- SnowPro Core Certification
- Azure Data Engineer Associate
Timeline
Insights and Reporting Analyst
Target
10.2025 - Current
Data Analyst
NMDP
01.2024 - 09.2025
Data Analyst
TCS
10.2020 - 08.2022
Master’s in Information Systems & Technology -
University of North Texas