Data Analyst Business Intelligence

Govind Bung

Data Analyst

Illinois ************@*****.*** 312-***-**** LinkedIn

SUMMARY:

Data Analyst with 3+ years of experience in IT and enterprise data environments, specializing in data analytics, ETL pipeline automation, and interactive dashboard development to support business intelligence and technology operations. Skilled in transforming complex data into actionable insights that drive strategic IT decisions. Adept at cross-functional collaboration, process optimization, and leveraging cloud and on-premise technologies to improve data accuracy, accessibility, and reporting efficiency. SKILLS:

Analytics Tools: Power BI, Tableau, Excel, Jupyter, SQL Developer Programming: Python (Pandas, NumPy, Scikit-learn), SQL, R, PySpark Databases: PostgreSQL, SQL Server, MySQL, Snowflake, MongoDB, DynamoDB ETL & Cloud: Apache Airflow, AWS Glue, Informatica, DBT, Redshift, S3, Azure, GCP Data Operations: A/B Testing, Feature Engineering, Statistical Modeling, Forecasting Project & Collaboration: JIRA, Confluence, GitHub, SharePoint, Agile/Scrum EXPERIENCE

Data Analyst, Dell Technologies Aug 2024 – Present

Streamlined reporting and dashboard workflows by implementing automated Tableau solutions, reducing manual effort by 40% and increasing reporting speed by 30%.

Improved accuracy of predictive analytics by 20% by deploying ML models using Python (Scikit-learn, TensorFlow) for internal IT support ticket volume forecasting.

Designed scalable ETL pipelines using AWS Glue and Apache Airflow, improving cross-system data availability and cutting data refresh latency by 25%.

Developed complex SQL scripts and UDFs across Snowflake and Redshift to support data ingestion and validation, reducing ETL errors by 30%.

Created A/B testing frameworks in Tableau, enabling IT product teams to optimize feature rollouts with 15% higher engagement rates.

Integrated over 15 enterprise datasets into a centralized data warehouse, improving KPI tracking for internal IT services.

Mentored analysts on Power BI best practices, raising team productivity by 20% through knowledge-sharing sessions and workflow automation training.

Data Analyst, Avenir Technologies Aug 2020 – Jan 2023

Built predictive models and classification systems using Python (Pandas, NumPy, Seaborn) to identify infrastructure performance risks, improving SLA compliance by 18%.

Automated manual Excel-based reports using Python scripts, saving ~10 hours per analyst weekly and reducing data entry errors.

Designed and deployed data ingestion pipelines to process structured/unstructured data from ITSM tools

(ServiceNow, JSON, XML) into dashboards, increasing visibility across IT teams.

Developed and launched business-aligned dashboards using Power BI, helping leadership monitor system uptime, ticket resolution trends, and capacity planning metrics.

Collaborated with IT operations to define data requirements, resulting in tailored data models that supported ad-hoc analysis with 25% improved query speed.

EDUCATION

Master of Science in Information Studies, Trine University, Michigan

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