Data Analyst & Analytics Engineer

Nikhila
Podila.

// SQL · Python · Power BI · ETL

I help product, finance & operations teams make faster, smarter decisions — by turning large-scale complex data into clean dashboards, reliable pipelines, and actionable KPIs.

View My Work → Get In Touch
At a Glance
0+
Years Experience
0+
Tools Mastered
0
Industries
0M+
Records Analyzed
Status
Open to Work
LOCATION
NYC Metro
Secaucus, NJ
Education
Sacred Heart University
MS Computer Science · 2023–2024
Nikhila Podila
Nikhila Podila
Data Analyst · Analytics Engineer
Open to Work
Technical Expertise

Skills & Tech Stack

📊
BI & Visualisation PRIMARY
Tableau (Dashboard, KPI, Performance Optimisation)95%
Power BI (Dashboard, Metrics, Data Modelling)93%
Advanced Excel (ETL, Pivot Tables, Power Query)95%
KPI Development & Dashboard Performance Optimisation92%
🗄️
SQL & Databases
Microsoft SQL Server95%
Complex Queries & Data Warehouse Reporting92%
PostgreSQL · MySQL · Snowflake85%
AWS Redshift · Google BigQuery80%
✅
Data Quality & Governance
Data Accuracy Verification Data Quality Issue Resolution Dashboard Performance Optimisation Change Control & Testing Multi-Environment Deployment Dev / Test / Production Workflows Data Protection & Security Compliance BI Asset Enhancement
50M+
Records across dashboards & data warehouse at S&P Global
25%
Faster decision-making via BI solutions
30%
Reduction in reporting discrepancies
🐍
Python & Engineering
Pandas NumPy Matplotlib Seaborn R (Statistical Analysis) ETL & Data Transformation Azure Data Factory Azure Synapse Analytics Automation Jupyter
🤝
Business & Stakeholder Skills
Business Requirements Gathering Stakeholder Communication (Verbal & Written) Analytical Problem Solving Proactive Initiative & Delivery Multi-Project Management Cross-functional Team Collaboration BI Solution Design & Delivery Financial & Banking Industry Reporting FinTech Analytics Healthcare Analytics Enterprise Reporting Documentation & Training Fast-paced Multi-tasking Environments
Career Timeline

Work Experience

2025 — Present
S&P Global
2021 — 2023
DXC Technology
2019 — 2020
CubeSpace Technologies
2023 — 2024
Sacred Heart Univ.
S&P Global
Senior Data Analyst · Remote, USA
February 2025 — Present
  • Designed and developed dashboards and KPIs in Tableau and Power BI across 50M+ records, accelerating business decision-making 25% and delivering BI solutions to analysts, product managers, and business users across 6 teams
  • Verified accuracy of data in dashboards, reports, data extracts, and data warehouse by auditing 15+ production datasets using Microsoft SQL Server, resolving data quality and performance issues that reduced reporting discrepancies 30%
  • Communicated and worked closely with analysts, product managers, and business users to gather requirements, troubleshoot, modify, and enhance existing BI assets across multiple concurrent initiatives
  • Developed, implemented, and maintained change control and testing processes for database modifications across development, testing, and production workflows ensuring data protection and security policy compliance
  • Evaluated, designed, proposed, and secured approval for BI solution design by partnering with business areas to gather requirements, assess industry trends, and proactively deliver dashboard enhancements
TableauPower BI SQL ServerData Warehouse KPI DevelopmentChange Control 50M+ Records
DXC Technology
Data Analyst · Bangalore, India
January 2021 — July 2023
  • Designed and developed Tableau and Power BI dashboards and KPIs across 4 business units and 15+ production datasets, delivering BI solutions that reduced reporting preparation time 35%
  • Verified data accuracy in dashboards, reports, and data warehouse by executing SQL queries against Microsoft SQL Server relational databases, resolving data quality and performance issues
  • Worked closely with business users and cross-functional teams to gather requirements, troubleshoot and enhance existing BI assets, reducing discrepancies 30% across all dashboard and reporting systems
  • Developed and maintained change control and testing processes for database modifications across multi-environment workflows ensuring consistent BI solution deployment and compliance
  • Managed multiple concurrent BI initiatives simultaneously with strong interpersonal and communication skills in fast-paced, team-based environments
TableauPower BI SQL ServerData Warehouse Change ControlETL
CubeSpace Technologies
Data Analyst · Bangalore, India
January 2019 — December 2020
  • Designed and developed dashboards and reporting solutions in Tableau and Power BI, gathering requirements from business users and verifying data accuracy across relational databases — reducing manual workloads 30%
  • Resolved data quality issues and database performance issues using SQL and Microsoft SQL Server, maintaining data warehouse integrity and delivering accurate, timely BI assets to analysts and management
  • Communicated organisational procedure changes, conducted training via documentation, and managed multiple BI development projects simultaneously in fast-paced environments
TableauPower BI SQLSQL Server Data QualityReporting
Sacred Heart University
Master of Science, Computer Science · Fairfield, CT
August 2023 — December 2024
  • Relevant coursework: Database Systems, Machine Learning, Data Mining, Cloud Computing, Algorithm Design
  • Capstone: End-to-End Financial Data Pipeline & Analytics Dashboard using Python, SQL, and Power BI
  • Built full ETL pipeline ingesting public market data into a SQL warehouse with Power BI reporting layer
MS Computer Science Machine Learning Cloud Computing Capstone Project
Selected Work

Projects & Case Studies

01
Featured · Enterprise BI · S&P Global
Enterprise BI Dashboard Platform
Designed and developed a suite of Tableau and Power BI dashboards and KPIs across 50M+ records from 15+ production datasets. Gathered requirements from business users and analysts, verified data accuracy in the data warehouse, resolved data quality and dashboard performance issues, and implemented change control and testing processes across 6 cross-functional teams.
TableauPower BI SQL ServerAdvanced Excel Azure Data FactoryKPI Development
50M+
Records
25%
Faster Decisions
30%
Fewer Discrepancies
6
Teams Served
→
02
Data Quality · Change Control · Multi-Environment
Data Quality & BI Asset Enhancement Framework
Built a data quality and change control framework for BI asset modifications across development, testing, and production environments. Audited 15+ datasets using Microsoft SQL Server and SQL, resolved dashboard and database performance issues, and produced documentation ensuring data protection and security policy compliance across all reporting workloads.
SQL ServerPostgreSQL TableauPower BI Azure Data FactoryPython
15+
Datasets Audited
30%
Fewer Discrepancies
3
Environments
→
03
DXC Technology · Enterprise Automation
Enterprise Report Automation & BI Delivery
Designed and developed Tableau and Power BI dashboards and KPIs across 4 business units and 15+ production datasets at DXC Technology. Gathered business requirements, resolved data quality issues, and delivered BI solutions that reduced reporting preparation time by 35% and reduced discrepancies 30% across all dashboard systems.
TableauPower BI SQLSQL Server ExcelPower Query
35%
Less Prep Time
30%
Fewer Discrepancies
4
Business Units
→
04
Capstone · MS Computer Science
Financial Market Analytics Pipeline — MS Capstone
Master's capstone: full ETL pipeline using Python to ingest, clean, and transform multi-source financial market data into a SQL data warehouse with automated quality validation, Tableau and Power BI reporting layers, and full documentation for audit and reuse.
PythonSQL TableauPower BI Azure SynapseETL
100%
Automated
4
Data Sources
A+
Grade
→
"I sit at the intersection of engineering and analytics — equally comfortable writing optimised queries as translating messy requirements into clear, reusable reporting logic."
🏢
Currently at S&P Global Financial & market intelligence analytics, New Jersey
🎓
MS Computer Science Sacred Heart University, Class of 2024
📍
Based in NYC Metro Area Open to remote, hybrid, or on-site roles
🌐
Industries: FinTech · Healthcare · Enterprise Tech 5+ years across 3 companies, 2 countries
Let's Connect

Open to Opportunities

"Actively looking for Data Analyst, Analytics Engineer, and Data Engineering roles.
Remote, hybrid, or on-site — let's build something meaningful together."

✉️
Email
nikhila.myjobs@gmail.com
💼
LinkedIn
linkedin.com/in/ponikhila
📱
Phone
(201) 540-9504
📍
Location
Secaucus, NJ
Currently available for new roles