Fiama C.Data Engineer
Skills
A Business Intelligence professional with five years of experience in directly interfacing with internal clients, managing the entire process from request investigation to the development of tailored analyses and studies that account for business-relevant features. Proficient in data integration utilizing SQL and Python, adept at crafting business metrics monitoring dashboards, and skilled in collaborative information modeling with clients. Metrics analysis includes support area ticketing, Mean Time to Engagement (TME), Mean Time to Acknowledge (TMA), Mean Time to Solve (TMS), commercial metrics, upsell, downsell, churn rate, and average ticket size.
Business Intelligence Specialist
1/1/2017 - Present
Developed expertise in collecting demands from internal clients, which involved the extraction of reports via SQL Server and analyzing databases along with user profiles. Mapped scenarios using quantitative and qualitative information, and demonstrated advanced skills in data modeling through stored procedures in SQL Server. Constructed ETL routines in Visual Studio and maintained data pipeline routines utilizing Python. Created dashboards in POWER BI and automated analyses provided to teams using various BI tools. Collaborated with teams to build business indicators and consumed data through external APIs using Python. Maintained data onboarding routines, applied business rules within BI views, and optimized queries in SQL. Acted as a direct interface with internal clients for the development of BI projects, delivered data-driven insights to internal teams, and reported KPIs that guide decision-making processes.
Information Systems (Bachelor's Degree) at UNINOVE
2013 - 2016
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