Data Analyst Business Intelligence

Suvapnil Dubey

*************@*****.*** +1-412-***-**** Harrison, NJ

Introduction

Data Analyst and Business Intelligence Specialist with 5+ years of experience leveraging SQL, Python, Power BI, and MySQL to transform complex data into actionable business insights. Extensive experience in ETL pipeline development, A/B testing, KPI forecasting, campaign analytics, and stakeholder reporting. Skilled in cross-functional collaboration, root cause analysis

(RCA), and automating dashboards to support enterprise-wide decision-making. Microsoft Certified Power BI Data Analyst with a focus on regulatory compliance, CX performance, boosting growth and operational optimization.

Education

Rutgers University, Rutgers Business School 3.8/4.0 New Brunswick, NJ Sep 2023 – Dec 2024

• MS in IT & Analytics: Data Science, Machine Learning, Data Analytics, Business Intelligence. University of Jammu, MIET 3.6/4.0 Jammu, India Jul 2015 – Aug 2019

• Bachelor of Engineering: Computer Science.

Experience

Product Data Analyst, NICE Actimize – Hoboken, NJ May 2024 – Jul 2024

• Extracted and integrated CX and sales metrics — including CSAT, NPS, sales targets vs. actuals, pipeline velocity, forecasting, and ticket turnaround times — from Salesforce and MySQL using advanced SQL and Python (Pandas), enabling real-time insights across 100+ enterprise clients.

• Implemented statistical techniques such as regression analysis, clustering, and anomaly detection to identify customer behavior patterns and inform Customer Success strategies, yielding a 13% increase in customer engagement.

• Designed, deployed, and maintained 4 real-time Power BI dashboards with embedded DAX and SQL queries; automated ETL workflows to streamline reporting, saving 3 hours per week, and supervised cross-functional RCA initiatives that reduced average issue resolution time by 12%. Graduate Teachers Assistant - Data Analysis, Rutgers University – NJ Jan 2024 – Dec 2024

• Guided 80+ graduate students in hands-on labs using Tableau, Python, SQL and Excel for statistical analysis. Senior Data Analyst, Getmyuni – Bangalore, India Nov 2022 – Jul 2023

• Executed the analysis of 33+ end-to-end marketing funnel performance by integrating and analyzing historical and live data from multiple channels, including Facebook Ads, Google Ads, SMS, IVR, voice teams, and on-site web traffic.

• Engineered and automated 10+ Power BI dashboards with DAX and M query integrations, connected to live internal systems (MySQL, campaign data pipelines), enabling real-time monitoring of KPIs such as CTR, CPL, CSAT, conversion rates, and admissions.

• Led a team of 8 analysts in conducting historical trend analysis and forecasting using Python and SQL to identify optimal channel performance and improve marketing ROI, contributing to 52% YoY revenue growth and 38% of company revenue.

• Delivered weekly performance reviews and forecast models to stakeholders and clients, influencing budget planning and strategic pivots—achieving 76% average campaign profitability and 91% client retention with 17% increase in CSAT. Data Analyst, Getmyuni – Bangalore, India Apr 2021 – Oct 2022

• Conducted comprehensive analysis on campaign datasets, identifying trends and optimizing campaign performance for 16 key clients, leading to a 45% YoY growth, peaking at 71%.

• Chaired client reviews, utilizing competitive analysis and historical data insights to improve strategies and increase CSAT by 55%.

Business Data Analyst, Practo Tech – Mumbai, India Jun 2019 – Oct 2020

• Headed a strategic business initiative by spearheading a hyperlocal market entry campaign, resulting in a 19% increase in city-wide business within 6 months through localized product optimization and distribution channel enhancement.

• Built ROI dashboards in Tableau and Excel to compare pre- and post-investment metrics for 70+ B2B healthcare clients. Technical Skills & Certification

Languages & Tools: SQL, PostgreSQL, Python (Pandas, NumPy, Scikit-learn), R, VBA Macros, Excel (Advanced). BI & Visualization: Power BI (DAX, M language), Tableau, Looker, DAX Studio, Excel Dashboards, Google Analytics. Database & Cloud Technologies: ETL, Github, MySQL, Snowflake, Salesforce, AWS (Redshift, S3), Google BigQuery, Databricks, Hadoop, Hive, Spark, Google VertexAI, Apache Kafka, Airflow. Data Analytics: Data Visualization, A/B Testing, Statistical Analysis, Time Series Forecasting, Regression Analysis. Technologies: OpenAI, Gpt, LLM, Prompt Engineering, Natural Language Processing, Jupyter Notebook, VS Code. Microsoft Certified: Power BI Data Analyst Associate

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