Data Analyst

Introduction:

The candidate is an experienced Data Analyst with 8 years of expertise in data manipulation, pipeline development, and load management. They are proficient in SQL and Python, collaborating across departments like Finance, Sales, and IT to ensure data quality. They have experience developing Python scripts, creating dashboards, and managing data migrations. The candidate has worked on automating processes, conducting A/B testing, and providing insights to stakeholders. They excel in risk management, process auditing, and facilitating communication between business and tech teams. With proficiency in BI tools like Qlik and Spotfire, they drive data-driven decision-making. The candidate has also contributed to financial and marketing analytics, optimized workflows, and improved organizational performance. Their experience spans reporting, system development, and maintaining high data standards. They are adept at adapting to various projects and maintaining efficient data processes. The candidate consistently strives for excellence in data management and business optimization.

Responsibilities:

• Evaluated and ensured data quality and availability for decision-making.
• Developed and maintained Python scripts for complex data analysis.
• Managed data interactions and collaborated with cross-functional teams.
• Created and managed financial and marketing dashboards.
• Performed data extraction, clean-up, and manipulation from multiple sources.
• Developed and deployed automation solutions using ClickUp and Pipedrive.
• Coordinated the integration of data from internal and external systems.
• Audited internal data and created strategies for migration to new systems.
• Led A/B testing, analyzed results, and provided insights for performance improvement.
• Designed and implemented standard operating procedures for teams.
• Conducted presentations and showcased analysis results to stakeholders.
• Managed risk assessments and identified control points for auditing processes.