Marcus V.
Senior Data Analyst
Marcus has a proven track record in developing data-driven solutions that optimize business operations and support strategic growth. His expertise includes implementing advanced analytics, ensuring data accuracy, and delivering actionable insights that drive informed decisions.
His strong analytical skills and ability to streamline data processes make Marcus a valuable asset for organizations looking to leverage data for competitive advantage.
Hovedekspertise
Microsoft Power BI4 år
Tableau2 årErfaring6
Administrative Director
- Invited to lead the commercial, financial, administrative, and analytics teams for the Vilaurbe Project, leveraging extensive market knowledge and experience.
- Responsible for managing and fostering the performance of a team of 35 individuals, ensuring efficient organization and high productivity.
- Participate in strategic decision-making processes, providing insights and recommendations based on thorough data analysis.
- Implement metrics and processes to optimize operations across various departments, driving continuous improvement and operational excellence.
- Oversee financial planning, budgeting, and reporting, ensuring financial health and alignment with strategic goals.
- Collaborate with commercial teams to develop and execute sales strategies, enhancing market presence and customer engagement.
- Lead administrative functions to streamline operations, improve resource allocation, and enhance overall organizational effectiveness.
- Drive analytics initiatives to provide actionable insights, supporting data-driven decisions and strategic planning across the project.
Senior Data Analyst
- Worked on an international project, collaborating with Global Markets teams to analyze the performance of key clients such as Blackrock, JP Morgan, and CitiBank.
- Utilized Power BI, SQL, and Python to analyze and visualize data, providing crucial insights into client performance and market trends.
- Designed and developed interactive dashboards and reports in Power BI, delivering actionable insights to stakeholders across different regions.
- Employed SQL for data extraction, transformation, and loading (ETL), ensuring the accuracy and reliability of financial data.
- Leveraged Python for advanced data analysis, automating processes, and developing custom scripts to handle complex datasets.
Python
SQLMicrosoft Power BI
NumPySenior Data Analyst
- Utilized Power BI, SQL, and Python to analyze and visualize financial data, enhancing the bank's understanding of market trends and performance.
- Designed and developed interactive dashboards and reports in Power BI, providing key insights to stakeholders within the financial sector.
- Employed SQL for data extraction, transformation, and loading (ETL), ensuring data accuracy and integrity in financial datasets.
- Leveraged Python for advanced data analysis, automating repetitive tasks, and creating custom scripts to process financial data.
- Conducted in-depth analysis of financial market operations to identify trends, performance metrics, and areas for improvement.
PythonSQLMicrosoft Power BINumPyBusiness Inteligence Analyst
- Utilized Power BI, SQL, and Python to analyze and visualize data, with a focus on enhancing operational efficiency and decision-making processes.
- Designed and developed interactive dashboards and reports in Power BI, providing actionable insights to various departments.
- Employed SQL for data extraction, transformation, and loading (ETL), ensuring data accuracy and integrity.
- Leveraged Python for advanced data analysis, automating tasks, and creating custom data processing scripts.
- Took on additional responsibilities as a Data Engineer, developing ETL routines in Python to streamline data workflows and improve data accessibility.
- Structured and maintained the Data Warehouse, organizing data for efficient storage, retrieval, and analysis.
PythonSQLMicrosoft Power BI
PandasData Analyst
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Employed Power BI, SQL, and Python to analyze and visualize data, focusing on the performance of the Call Center and customer service channels.
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Designed and implemented interactive dashboards and reports in Power BI, providing key insights into customer service metrics and performance indicators.
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Utilized SQL for data extraction, transformation, and loading (ETL) to maintain data accuracy and reliability across various datasets.
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Leveraged Python for advanced data analysis, automating repetitive tasks, and developing custom data processing scripts.
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Conducted in-depth analysis of Call Center operations to identify trends, performance bottlenecks, and areas for improvement.
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Collaborated with customer service and IT teams to gather requirements, ensure data quality, and develop solutions that support business objectives.
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Presented findings and recommendations to senior management, aiding in the optimization of customer service processes and enhancing overall customer experience.
PythonSQL
OracleMicrosoft Power BIJunior Data Analyst
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Utilized Power BI to design and develop interactive dashboards and reports, providing actionable insights to stakeholders.
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Conducted data extraction, transformation, and loading (ETL) processes using SQL to ensure data integrity and accuracy.
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Collaborated with cross-functional teams to gather requirements and understand business needs, translating them into data analysis tasks.
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Performed data analysis to identify trends, patterns, and anomalies, supporting data-driven decision-making.
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Assisted in the automation of data reporting processes, reducing manual efforts and increasing efficiency.
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Participated in regular meetings and presentations to communicate findings and recommendations to team members and management.
SQLMicrosoft Power BI
VBA
ETLVurderinger
Ingeniørmæssig fremragendehed
Marcus samlede præstation i en 90-minutters teknisk vurdering i realtid er blandt de top 25% bedst kontrollerede Senior Data Analyst hos Proxify.
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