▷ (15h Left) Data Strategy Consultant
3 weeks ago
Job Description Responsibilities: - Client Collaboration & Strategy Development: Work closely with clients to develop, design, build, and implement comprehensive data strategies aimed at significantly enhancing their business performance. - Data & Analytics Strategy Definition: Define and develop overall data and analytics strategies, focusing on achieving actionable business outcomes. This includes emphasis on advanced analytics, robust data platforms & architecture, generation of data-driven business insights, and effective information management. - Executive & Team Collaboration: Collaborate extensively with client CIOs, VPs, and data & AI team members to facilitate the creation of information-driven, corporate-wide data platforms. The goal is to accelerate the rapid evaluation and implementation of various analytical use cases. - As-Is & To-Be Assessment: Conduct thorough assessments of existing (as-is) business processes. Subsequently, propose strategic improvements and define target data and application blueprints necessary to enable the client to evolve into a truly data-driven organization. - Business Case Formulation & Client Interaction: Articulate and formulate creative and compelling business cases for data initiatives. Interact extensively with client teams through interviews, present findings clearly, and discuss strategic recommendations to gain alignment and buy-in. - Problem Solving & Solutioning: Identify complex business challenges that can be addressed through data-driven solutions and develop innovative approaches. - Market Trend Awareness: Stay abreast of the latest trends and technologies in data, analytics, and artificial intelligence to provide cutting-edge advice to clients. Required Skills: - Proven experience in developing, designing, building, and implementing data strategies for clients. - Ability to define overall data & analytics strategy with a focus on actionable business outcomes. - Expertise in advanced analytics, data platforms & architecture, data-driven business insights, and information management. - Strong collaboration skills, particularly with senior client stakeholders (CIOs, VPs) and data & AI teams. - Experience in conducting assessments of as-is business processes and proposing improvements, defining target data and application blueprints. - Ability to articulate and formulate creative business cases. - Proficiency in conducting client interviews, discussing findings, and presenting recommendations. - Excellent communication (verbal and written), presentation, and interpersonal skills. - Strong analytical and problem-solving abilities.
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