Raviteja Singavarapu

Data Analyst

2+ yrs exp 85 · Excellent

About

Data Analyst with 2.7 years of corporate experience at Amazon, including 1.5 years in an analytics-focused role using SQL, Power BI, DAX, Power Query, and Excel. Experienced in extracting, cleansing, transforming, validating, and analyzing data from multiple sources to identify trends, patterns, anomalies, and operational insights. Skilled in data modeling, dashboard development, KPI analysis, data visualization, hypothesis testing, data quality, and translating analytical findings into actionable business insights.

Skills & Expertise (36)

SQL Intermediate

8.1/10

2.7

Years Exp

Data Visualization Intermediate

8.1/10

2.7

Years Exp

Power BI Intermediate

8.1/10

2.7

Years Exp

Data Analysis Intermediate

8.1/10

2.7

Years Exp

Data Extraction Intermediate

7.8/10

2.7

Years Exp

Data Transformation Intermediate

7.8/10

2.7

Years Exp

Data Cleansing Intermediate

7.8/10

2.7

Years Exp

Data Manipulation Intermediate

7.8/10

2.7

Years Exp

Exploratory data analysis Intermediate

7.5/10

2.7

Years Exp

KPI Reporting Intermediate

7.5/10

2.7

Years Exp

DAX Intermediate

7.5/10

2.7

Years Exp

Business Insights CTEs Root Cause Analysis Data Quality Data Validation KPI Analysis Pattern Analysis Trend Analysis Hypothesis Testing Report Development Dashboard Development Data Modeling Joins Data Cleaning Aggregations Charts Formulas Power Query XLOOKUP VLOOKUP Pivot Tables Advanced Excel Microsoft Excel relational databases Subqueries

Work Experience

Investigation Specialist

Amazon

Feb 2024 - Present

Analyze seller, product, ASIN, and case-related data using SQL to identify trends, patterns, anomalies, and operational insights. Extract, cleanse, transform, and combine data from multiple seller, product, and case-related datasets using SQL filters and joins to support business and operational analysis. Develop and maintain Power BI reports and visualizations to monitor KPIs, analyze operational performance, and communicate trends and insights. Analyze case volumes, infringement trends, quality, productivity, and other operational performance metrics to identify recurring issues, process gaps, and improvement opportunities. Collaborate with stakeholders to understand analytical requirements, clarify business questions, validate data and reporting outputs, and communicate findings through clear reports and Power BI visualizations.