Career Profile
Data Analyst with experience in Logistics, Finance and Marketing.
Highgly educated with a Degree in Big Data and Marketing Intelligence, studying to deepen my knowledge in statistics and programming. My passion is to improve/optimize processes and help on data driven decisions.
Experiences
• Develop, QA, and maintain SQL logic for core data models that drive all business KPI reporting
• Collaborate with stakeholders to understand reporting needs and leverage data insights and business acumen to advocate for and build business cases for strategic initiatives
• Create and maintain reports, dashboards, and data sources that clearly communicate and highlight critical business insights, ensuring they are easily understood by all teams
• Monitor performance trends, identify areas for improvement, and conduct ad hoc analyses to provide actionable recommendations for enhancing business processes and strategy
• Formulation and establishment of key performance indicators (KPIs), crafting data visualizations, and articulating insights and strategic recommendations to pertinent stakeholders
• Collaborate cross-functionally with departments such as marketing, sales, etc., to discern optimal opportunities grounded in data-driven insights
• Refine imprecise inquiries and formulate hypotheses concerning product enhancement through a comprehensive understanding of data, customer behavior, and organizational objectives
• Conceptualize and execute experiments, decipher outcomes, and derive actionable insights to drive informed decision-making
• Constructing Power BI dashboards, extracting data from multiple databases (BigQuery, MySQL, Oracle)
• Engaging with ETL pipelines for seamless data integration
• Conducting statistical analyses on quantitative variables
• Crafting analytical tools to facilitate data-driven decision-making for the sales team
• Actively collaborating with the sales team to comprehend the intricacies of the business
• Conducting data analysis to derive insights informing strategic decisions
• Enhancing reports through PowerQuery, SharePoint, and SQL connections
• Generating real-time PowerPoint and Power BI reports for in-depth KPI analysis
• Employing Machine Learning for the implementation of sales forecasts
• Created automation in Python with SQL connection to DB2 to send invoices
• Developed realtime reports with Excel connected to DB2 (SQL query)
• Optimized processes and procedures using SQL and Python
• Contributes to increasing the team's collection rate, with personal collection performance above 80%, industry average of 70%.