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

🗄️
SQL & Databases
Microsoft SQL Server95%
Window Functions / CTEs92%
Query Optimisation88%
Data Quality & Validation90%
🐍
Python
Pandas NumPy Matplotlib Seaborn EDA ETL Automation Jupyter
📊
BI & Visualisation
Power BI DAX Power Query Excel (Advanced) Dashboard Design KPI Reporting
5+
Years turning raw data into business decisions
10M+
Records analysed at S&P Global
⚙️
Engineering & Analytics
ETL Pipelines Data Warehousing Analytics Engineering Data Modelling Stakeholder Management FinTech Analytics Healthcare Analytics Ad Hoc Analysis Documentation Git
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
Data Analyst · New Jersey, USA
February 2025 — Present
  • Analyse large structured datasets (10M+ records) to identify trends, anomalies, and performance drivers for financial intelligence clients
  • Build and maintain Power BI dashboards used by product, operations, and client-facing teams for strategic decisions
  • Write and optimise complex SQL queries to extract, transform, and validate data from enterprise platforms
  • Perform data quality checks ensuring accuracy, completeness, and consistency across all reporting outputs
  • Deliver ad hoc analysis under tight deadlines supporting quarterly planning and leadership reviews
  • Document metrics definitions, data logic, and reporting workflows for audit readiness and long-term reuse
SQLPower BI PythonETL Financial DataData Quality
DXC Technology
Data Analyst · Bangalore, India
January 2021 — July 2023
  • Owned end-to-end data analysis for enterprise business teams across multiple business units
  • Built interactive Power BI and Excel dashboards tracking KPIs, trends, and operational performance
  • Automated recurring reports significantly reducing manual effort and improving turnaround time
  • Wrote optimised SQL queries to extract and analyse data from complex relational databases
  • Translated complex business requirements into clear, actionable insights for senior leadership
  • Documented data logic, metrics definitions, and reporting workflows for long-term usability
SQLPower BI ExcelAutomation Enterprise Analytics
CubeSpace Technologies
Data Analyst · Bangalore, India
January 2019 — December 2020
  • Supported business and client teams with data analysis and reporting across multiple projects
  • Built Excel-based reports and dashboards tracking KPIs and operational metrics for clients
  • Wrote SQL queries to extract and validate data from relational databases across multiple workstreams
  • Performed exploratory data analysis to identify trends, gaps, and data quality issues
  • Improved data accuracy by identifying and resolving upstream data quality problems
  • Documented reporting logic and data definitions for internal reference and team onboarding
SQLExcel EDAReporting Data Quality
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 · FinTech
Financial Market Analytics Pipeline
End-to-end ETL pipeline ingesting public financial market data into a SQL data warehouse with interactive Power BI dashboards showing price trends, volatility, and sector benchmarks.
PythonSQL Power BIPandasETL
10M+
Records
8
Dashboards
40%
Faster Reports
→
02
Healthcare · Reporting
Healthcare KPI Reporting System
Automated data validation and Power BI dashboards for healthcare operations. Implemented CASE WHEN quality checks flagging 80% of data issues before they reached reporting.
SQL ServerPower BI ExcelData Quality
80%
Issues Caught
5
Dashboards
3×
Faster
→
03
Enterprise · Automation
Enterprise Report Automation — DXC
Converted manual Excel reporting processes into dynamic SQL + Power BI solutions at DXC Technology, cutting manual effort by 60% and standardising KPI definitions across business units.
SQLPower BI ExcelPower QueryDAX
60%
Time Saved
12+
Reports
100%
Accuracy
→
04
Capstone · MS Project
ETL Pipeline — MS Capstone
Master's capstone: full data pipeline using Python to ingest, clean, and transform multi-source financial data with automated quality validation and a structured SQL data warehouse.
PythonSQL NumPySeabornPower BI
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