Data Analyst

Summary

I am a data nerd who enjoys finding innovative new ways to interpret and visualize data that is otherwise too complex, too big, or abstract, into useful and actionable business intelligence.

I am experienced in effectively communicating business justification based on analysis to individual contributors & C-suite Executives both internally and externally. I am eager to learn and excited to help businesses to achieve top-line revenues through data-based strategies and insights. Additionally, I have a unique background as a front-line sales manager with sales analytics, sales operations, and data governance experience.

Tools and Technologies:
Analytical & BI Tools: Power BI, Tableau, SAS EM, Google Analytics
Database & Methodologies: SQL, Agile, Waterfall, Data Modeling, ETL
Programming & Scripting Languages: Python, R
Big Data: Hadoop, Apache Spark, Spark SQL, Spark, PySpark, Spark ML
Big Data Ecosystems: GCP, MS Azure, Hadoop, Spark, Pyspark
Others: MS Visio, SharePoint, ServiceNow, MS Project, MS PowerPoint, MS Excel, Salesforce CRM

When I am not so much into Tech-savvy stuff, I find myself fascinated by the latest fitness trends and personal nutrition. HIIT-style training and Yoga are my favorites out of everything on trend.

Expectations

Learning

Employment Preferences

Expected Base Salary

**,000 USD

Academic Degree

Experience

Skills

• Analytical
• BI Tools
• Power BI
• Tableau
• SAS EM
• Google Analytics
• Database
• Methodologies
• SQL
• Agile
• Waterfall
• Data Modeling
• ETL
• Programming
• Scripting Languages
• Python
• R
• Big Data
• Hadoop
• Apache Spark
• Spark SQL
• Spark
• PySpark
• Spark ML
• Big Data Ecosystems
• GCP
• MS Azure
• Pyspark
• Others
• MS Visio
• SharePoint
• ServiceNow
• MS Project
• MS PowerPoint
• MS Excel
• Salesforce CRM