ARMAN MUNI

BI Developer / Data Analyst

Hyderabad, Telangana, India 2+ yrs exp 84 · Excellent

About

BI Developer / Data Analyst with 2+ years of experience in data investigation, fraud analysis, trend identification, data validation, and reporting. Skilled in Power BI, SQL Server, Microsoft Excel, Power Query, DAX, data modeling, KPI reporting, dashboard development, and analytical problem-solving. Experienced in transforming large datasets into actionable insights and maintaining 97% accuracy and 100% productivity while reviewing 600–700 cases monthly.

Skills & Expertise (36)

Advanced Excel Intermediate

7.4/10

Years Exp

Window Functions Intermediate

7.4/10

Years Exp

CTEs Intermediate

7.4/10

Years Exp

Subqueries Intermediate

7.4/10

Years Exp

HAVING Intermediate

7.4/10

Years Exp

GROUP BY Intermediate

7.4/10

Years Exp

Joins Intermediate

7.4/10

Years Exp

SQL Server Intermediate

7.4/10

Years Exp

Power Query Intermediate

6.6/10

Years Exp

Data Visualization Intermediate

6.6/10

Years Exp

Data Modeling Intermediate

6.6/10

Years Exp

DAX Intermediate

6.6/10

Years Exp

Power BI Desktop Intermediate

6.6/10

Years Exp

If Microsoft SQL Server Root Cause Analysis Statistics Fraud analysis Anomaly Detection Trend Analysis Reporting Data Cleaning Charts Lookups Pivot Tables Conditional Formatting Filters Data Validation Aggregations Case Relationships Measures Calculated Columns KPI Dashboards Drill-through Slicers

Work Experience

Associate Analyst

Tech Mahindra

Aug 2024 - Present

Analyze Microsoft Advertising data to identify fraud, suspicious activity, spyware, and policy violations. Use SQL Server with JOINs, GROUP BY, subqueries, CTEs, CASE expressions, and window functions to investigate fraud trends and anomalies. Investigate compromised accounts using Excel to identify suspicious usernames, campaign IDs, and activity patterns across large datasets. Prepare Excel reports using IF, conditional formatting, duplicate removal, and charts; review 600–700 cases monthly with 97% accuracy and 100% productivity. Translate investigation findings into structured reports, trends, and actionable insights for operational decision-making. Collaborate with teams to validate data, investigate exceptions, and resolve data-quality issues.