Nikhil Raj

Associate Consultant

Bengaluru, Karnataka, India4 yrs 4 mos experience

Highly Stable

Key Highlights

Increased sales conversion from 12% to 16%
Reduced data error rates from 25% to under 10%
Optimized SQL pipelines for faster data availability

Stackforce AI infers this person is a Data Analyst with expertise in SaaS and business analytics.

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Skills

Core Skills

Data AnalysisSqlData EngineeringBusiness Analytics

Other Skills

PandasMicrosoft SQL ServerETLData Quality ManagementStakeholder CollaborationAzure Data FactoryMicrosoft Power BIExtract, Transform, Load (ETL)Azure DatabricksSQL Server Management StudioSQL Server Integration Services (SSIS)Python (Programming Language)Microsoft ExcelNumPy

About

Data Analyst with 4 years of experience partnering with US-based clients to solve business problems through data. I work at the intersection of data engineering and business analytics building pipelines that are reliable, and delivering insights that stakeholders can actually act on. Proven Impact: •Identified root cause of stalled sales conversion and helped grow it from 12% to 16%, contributing to $3M+ in client revenue • Reduced data error rates from 25% to under 10% through automated quality checks •Improved dashboard data availability by 24 hours by optimising SQL pipelines on 8M+ records •Cut query runtime by 60% through refactoring 20+ production SQL queries Technical Stack: SQL • Python • Power BI • Azure Data Factory • Pandas • Excel Recognised with a Stellar Performance Award at EXL for exceptional delivery on a high-visibility project. Open to Data Analyst and Analytics Engineering roles.

Experience

4 yrs 4 mos

Total Experience

4 yrs 4 mos

Average Tenure

4 yrs 4 mos

Current Experience

Exl

2 roles

Consultant 1

Promoted

Jan 2025 – Present · 1 yr 5 mos

ETL Pipeline Development :
Built a pipeline to consolidate weekly data from multiple carrier sources, reducing manual effort and improving reliability for the reporting team.
Data Quality Management :
Set up automated quality checks on incoming carrier feeds to address recurring data issues that were affecting downstream reports
Sales Funnel RCA:
Monitored the end-to-end sales funnel, conducted an RCA on stagnant conversion rates and identified the quote stage as the primary drop-off point
Stakeholder Collaboration : Presented RCA findings with actionable recommendations, working with stakeholders to close the gaps in the sales process
Revenue Impact:
Process improvements following the RCA moved conversion from 12% to 16%, with the client attributing approximately $3M in revenue impact

PandasMicrosoft SQL ServerData AnalysisSQL