Data Analyst

Summary

Results-oriented Data Analyst with hands-on experience in analyzing and interpreting large datasets to drive strategic decision-making. Proven expertise in utilizing tools such as Excel, Power BI, and Tableau for data visualization and reporting. Skilled in SQL and Python for data manipulation and analysis. Adept at developing and optimizing database queries and ETL processes to enhance data efficiency. Strong background in financial data analysis and forecasting. Holds a Master's in Management Information Systems with a concentration in Data Science and Analytics. Certified in Microsoft Power BI, Google Data Analytics, and Scrum Product Ownership. Demonstrated proficiency in a variety of programming languages, databases, and data analytics tools. Eager to leverage technical skills and analytical acumen to contribute effectively to data-driven initiatives.

Expectations

I am looking for roles that provide intellectual stimulation and challenges driven with creativity, helping me grow in my career. A positive and supportive workplace culture with continuous learning. Also, striking a balance between professional and personal life is a key expectation along with a fair compensation.

Employment Preferences

Expected Base Salary

**,000 USD

Expected Hourly Rate

** USD/hr

Academic Degree

Experience

Skills

• Programming Languages
• Python
• SQL
• HTML
• VBA
• Database Management
• MYSQL
• PostgreSQL
• T-SQL
• NoSQL
• SSIS
• SSRS
• Data Analytics
• BI Tools
• Tableau
• Power Bi
• MS Excel
• PowerPoint
• Libraries
• Pandas
• NumPy
• Matplotlib
• Seaborn
• Methodologies
• Agile
• Scrum
• Lean Six Sigma
• Software
• Tools
• Jupyter
• DAX
• Spreadsheets
• Financial Services
• Google Big Query
• Data Modeling
• Google Data Studio
• PySpark
• KPI Dashboards
• Data Visualization
• Statistics
• MS Office 365
• Excel
• VBA Macros
• Pivot Tables
• AWS
• S3
• Quick Sight
• Ad-hoc Analysis
• Salesforce
• Predictive Modeling
• Quality A
• B Testing
• Machine-learning Algorithms