Corporate Data Developer

Description:

Data Analysis & Visualization:
• Expertise in creating dynamic dashboards and interactive reports using Power BI and Excel, enabling stakeholders to make data-driven decisions.
• Proficient in Advanced Excel techniques, including pivot tables, VLOOKUP, INDEX-MATCH, Power Query, data cleaning, conditional formatting, and complex formulas for detailed data analysis SQL & Data Management.
• Advanced proficiency in writing and optimizing SQL queries for data extraction, transformation, and analysis across relational databases (e.g., MySQL, PostgreSQL, SQL Server).
• Skilled in data integration, ensuring accuracy and consistency while merging data from multiple sources into unified datasets.

Machine Learning & Predictive Analytics:
• Knowledge of applying machine learning techniques to uncover trends, develop predictive models, and support advanced analytical requirements.
• Experience with libraries/tools like Python, R, or Power BI AI capabilities for advanced analytics.

System Development & Data Engineering:
• Background in system development, contributing to the design, testing, and optimization of data pipelines and workflows.
• Knowledge of integrating data solutions with system architecture to support long-term scalability and reliability.