BELCINA BOMBAT

Data Analyst

Mumbai, Maharashtra 2+ yrs exp 82 · Excellent

About

Data Analyst with 2 years of experience at Accenture, skilled in SQL, Microsoft Excel and Power BI. Experienced in data auditing, data quality checks, reporting, identifying discrepancies and analyzing process data. Strong understanding of data cleaning, data visualization, KPI reporting and dashboard development. Looking for opportunities to apply analytical skills and deliver data-driven insights for business decisions.

Skills & Expertise (11)

Microsoft Excel Advanced

6.5/10

Years Exp

Data Cleaning Intermediate

6.0/10

Years Exp

Data Validation Intermediate

6.0/10

Years Exp

Data Analyst Intermediate

5.8/10

Years Exp

Data Visualization Intermediate

5.5/10

Years Exp

SQL Intermediate

5.5/10

Years Exp

Power BI Intermediate

5.5/10

Years Exp

Data Reporting Intermediate

5.5/10

Years Exp

Dashboard Intermediate

5.5/10

Years Exp

ItIl Beginner

4.5/10

Years Exp

ITSM Beginner

4.5/10

Years Exp

Work Experience

Trust & Safety - New Associate

Accenture

Jan 2024 - Present

Worked across multiple client projects, including Amazon, Snapchat, and Meta, supporting content review, data validation, and quality-focused operations. Performed Job ID-based processing as per defined production guidelines, process requirements, and quality standards. Audited Job IDs and related data/documents to identify discrepancies, errors, and quality gaps, ensuring data accuracy and process compliance. Reviewed and classified AI and Non-AI content based on established policies and review guidelines. Maintained 100% quality accuracy while consistently meeting productivity, SLA, and process targets. Identified data and process-level issues and communicated findings to team leads and stakeholders for timely resolution and continuous improvement. Supported workflow management by tracking processing status, reviewing quality trends, and ensuring tasks were completed within defined timelines. Collaborated with team members and stakeholders to maintain process consistency, data quality, and operational efficiency.