Lead Data Analyst

<h3>📋 Description</h3> • Identify opportunities and partner with key stakeholders to set priorities, manage expectations, facilitate change required to activate insights, and measure the impact • Deconstruct problems and goals to form a clear picture for hypothesis generation and use best practices around decision science approaches and technology to solve business challenges • Can guide team to Integrate custom analytical solutions (e.g., predictive modeling, segmentation, issue tree frameworks) to support data-driven decision-making • Monitors and manages project baseline to ensure activities are occurring as planned - scope, budget and schedule – manages variances • Anticipates problems before they occur; defines the problem or risk; identifies possible causes; works with team to identify solutions; selects and implements most appropriate solution • Identifies potential points of contention for missed deliverables; creates and implements strategy to mitigate shortfalls in timeline and budget • Develop and manage plans to address project strengths, weaknesses, opportunities and threats • Translate and communicate results, recommendations, and opportunities to improve data solutions to internal and external leadership with easily consumable reports and presentations. • Expected to act independently to deliver projects to schedule, budget and scope; support provided as required and requested, and is self-driven and motivated • Able to manage multiple clients, lead technical client calls and act as a bridge between product teams and client <h3>🎯 Requirements</h3> • 10 plus years experience. • Experience in design and review of new solution concepts and leading the delivery of high-impact analytics solutions and programs for global clients • Should be able to apply domain knowledge to functional areas like market size estimation, business growth strategy, strategic revenue management, marketing effectiveness • Have business acumen to manage revenues profitably and meet financial goals consistently. Able to quantify business value for clients and create win-win commercial propositions. • Must have the ability to adapt to changing business priorities in a fast-paced business environment • Should have the ability to handle structured /unstructured data and have prior experience in loading, validating, and cleaning various types of data • Should have a very good understanding of data structures and algorithms