Business Insights Architect

Role Overview: As a Data Visualization Specialist at our company, your main responsibility will be to interpret data from various sources and create data-driven solutions based on client requirements. You will be expected to develop valuable insights, engage with customers to gather their requirements, and understand technology trends to visualize data effectively. Your role will also involve designing and implementing data visualization capabilities, managing metadata, and collaborating with other data architects to establish data governance processes. Key Responsibilities: - Develop valuable insights from multiple data sources as per client requirements - Engage with customers to understand their needs and technology trends for effective data visualization - Create wireframes, prototypes, and use cases to demonstrate the final data output to clients - Analyze, propose, and implement data technology and tools for visualization - Provide solutions for RFPs from clients and ensure the final data output meets business needs - Design and implement data visual aspects including classical BI dashboards - Collaborate with data architects to establish data governance processes - Support pre-sales team in presenting data design and principles to clients - Mentor developers, designers, and junior architects for career development - Anticipate talent requirements and hire resources as needed - Interact with stakeholders including delivery teams, pre-sales team, business analysts, data visualization team, data testing team, data architects, and data engineers Qualifications Required: - Awareness and knowledge of economic, demographic, technological, and global trends within the ecosystem - Deep specialized understanding of the ecosystem practice, market intelligence, and competition - Proficiency in systems thinking, leveraging technology, data models, and visualization best practices and tools - Competency levels ranging from Foundation to Expert in various domains - Behavioral competencies including strategic perspective, technology acumen, quantitative analysis, managing complexity, client centricity, and execution excellence Additional Company Details: Omit (if not present) Role Overview: As a Data Visualization Specialist at our company, your main responsibility will be to interpret data from various sources and create data-driven solutions based on client requirements. You will be expected to develop valuable insights, engage with customers to gather their requirements, and understand technology trends to visualize data effectively. Your role will also involve designing and implementing data visualization capabilities, managing metadata, and collaborating with other data architects to establish data governance processes. Key Responsibilities: - Develop valuable insights from multiple data sources as per client requirements - Engage with customers to understand their needs and technology trends for effective data visualization - Create wireframes, prototypes, and use cases to demonstrate the final data output to clients - Analyze, propose, and implement data technology and tools for visualization - Provide solutions for RFPs from clients and ensure the final data output meets business needs - Design and implement data visual aspects including classical BI dashboards - Collaborate with data architects to establish data governance processes - Support pre-sales team in presenting data design and principles to clients - Mentor developers, designers, and junior architects for career development - Anticipate talent requirements and hire resources as needed - Interact with stakeholders including delivery teams, pre-sales team, business analysts, data visualization team, data testing team, data architects, and data engineers Qualifications Required: - Awareness and knowledge of economic, demographic, technological, and global trends within the ecosystem - Deep specialized understanding of the ecosystem practice, market intelligence, and competition - Proficiency in systems thinking, leveraging technology, data models, and visualization best practices and tools - Competency levels ranging from Foundation to Expert in various domains - Behavioral competencies including strategic perspective, technology acumen, quantitative analysis, managing complexity, client centricity, and execution excellence Additional Company Details: Omit (if not present)