sowjanya gudipudi

Data Analyst

2+ yrs exp 84 · Excellent

About

Results-oriented Data Analyst with 2 years of experience in data analysis, reporting, and business intelligence. Proficient in SQL, Power BI, Excel, and data visualization techniques to transform raw data into actionable insights. Experienced in creating dashboards, analyzing business trends, and supporting data-driven decision-making. Strong analytical, problem-solving, and communication skills with a focus on improving operational efficiency and business performance.

Skills & Expertise (20)

Data Validation Intermediate

7.2/10

Years Exp

Time management Intermediate

7.2/10

Years Exp

Team Collaboration Intermediate

7.2/10

Years Exp

Communication Skills Intermediate

7.2/10

Years Exp

Attention to Detail Intermediate

7.2/10

Years Exp

Problem Solving Intermediate

7.2/10

Years Exp

Analytical Thinking Intermediate

7.2/10

Years Exp

Business Reporting Intermediate

7.2/10

Years Exp

KPI Reporting Intermediate

7.2/10

Years Exp

Dashboard Development Intermediate

7.2/10

Years Exp

MS Office Intermediate

7.2/10

Years Exp

Data Analysis Intermediate

7.2/10

Years Exp

VLOOKUP Intermediate

7.2/10

Years Exp

Pivot Tables Intermediate

7.2/10

Years Exp

Microsoft Excel Intermediate

7.2/10

Years Exp

Power BI Intermediate

7.2/10

Years Exp

SQL Intermediate

7.2/10

Years Exp

Data Interpretation Intermediate

7.2/10

Years Exp

Data Cleaning Intermediate

7.2/10

Years Exp

Jira Beginner

5.6/10

Years Exp

Work Experience

Data Analyst

MyClassboard

May 2024 - Present

Collected, cleaned, and analyzed large data sets to identify trends, patterns, and business opportunities. Developed and maintained interactive dashboards and reports using Power BI and Excel. Wrote SQL queries to extract, manipulate, and validate data from relational databases. Generated periodic MIS reports to support management decision-making. Collaborated with business stakeholders to understand reporting requirements and deliver actionable insights. Performed data quality checks and ensured data accuracy across reporting systems. Automated routine reporting processes, reducing manual effort and improving efficiency. Assisted teams in monitoring KPIs and tracking business performance metrics.