About
Results-driven Data Analyst with 3 years of progressive experience, specializing in leveraging advanced analytical techniques and data visualization to drive strategic business decisions. Proficient in SQL, Python, Tableau, and Power BI, with a proven ability to translate complex datasets into actionable insights that enhance sales revenue, optimize operational efficiency, and improve customer engagement. Seeking to apply expertise in data modeling and statistical analysis to contribute to innovative data-driven initiatives.
Work
→
Summary
Led comprehensive data analysis and visualization initiatives, driving key business decisions and enhancing operational efficiency within a dynamic corporate environment.
Highlights
Analyzed extensive sales datasets to identify critical market trends and capitalize on new opportunities, directly contributing to a 15% increase in sales revenue.
Designed and developed highly interactive dashboards using Tableau and Power BI, effectively presenting complex data insights to senior management for informed strategic planning.
Engineered and optimized complex SQL queries to efficiently extract and manipulate data from large-scale relational databases, ensuring data integrity and accessibility for critical reporting.
Directed a cross-functional team in the successful implementation of a new data analytics platform, which streamlined workflows and reduced manual data processing time by 30%.
→
Summary
Supported data operations through cleaning, statistical modeling, and reporting, providing actionable insights to optimize marketing and sales strategies.
Highlights
Cleaned and processed large, complex datasets using Python and Excel, ensuring data accuracy and readiness for in-depth analysis.
Conducted rigorous statistical analysis utilizing SPSS to develop predictive models for customer behavior, informing targeted marketing initiatives.
Generated comprehensive weekly and monthly performance reports for the sales team, highlighting key metrics and trends to guide strategic adjustments and improve sales forecasting.
Collaborated closely with the marketing department to analyze campaign effectiveness, providing data-driven recommendations that optimized strategies and enhanced ROI.
Skills
Programming Languages
SQL, Python, R.
Data Visualization
Tableau, Power BI, PowerPoint.
Statistical Analysis
Excel, SPSS, Statistical Modeling, Predictive Analytics.
Database Management
MySQL, PostgreSQL, Data Extraction, Data Manipulation.
Operating Systems
Windows, Linux.
Core Competencies
Data Analysis, Data Cleaning, Data Reporting, Problem-Solving, Cross-functional Collaboration, Project Management, Strategic Planning.