- Data Analysis & Visualization: Serves as data interpreter, transforming raw data into visually intuitive representations. Through meticulous analysis and adept visualization techniques, present complex datasets in accessible formats, enabling stakeholders to discern trends and patterns effectively.
- Dashboard Creation: Designs dashboards akin to control panels, aggregating critical data metrics into cohesive displays. Expert in designing user-friendly interfaces that streamline end-users' data interpretation and decision-making processes.
- Collaboration & Communication: Engages with stakeholders across business areas, soliciting feedback and requirements to tailor data solutions to organizational needs. Through clear and concise communication, facilitate understanding and alignment among team members,
fostering a collaborative environment conducive to data driven decision-making.
Skills & Qualifications:
- Ability to transform complex data into compelling narratives and apply creative thinking to solve business problems.
- Strong proficiency in Tableau, SQL, and Python, with solid knowledge of ETL/ELT processes and job scheduling tools.
- Broad understanding of the business and technology landscape, with experience designing, developing, and deploying analytical dashboards and reporting solutions.
- Experience working with database platforms such as Oracle and Hadoop, along with proficiency in SQL/NoSQL technologies and various data file formats.
- Demonstrated adaptability, creativity, resourcefulness, organization, and effective collaboration within cross-functional teams.
- Robust foundation in Data Science and Machine Learning, with experience conducting Exploratory Data Analysis (EDA) using statistical and analytical tools.
- Excellent verbal and written communication skills, with the ability to communicate technical concepts effectively to diverse audiences.
📌 Tableau Developer (Toronto)
🏢 Capgemini
📍 Toronto
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