As a Data Analyst, you should be able to propose creative solutions to develop/solve a business problem. Should be able to recommend design and develop state-of-the-art data-driven analysis using statistical; understating of advanced analytics methodologies to solve business problems & recommend insights. Form hypothesis and run experiments to gain empirical insights and validate the hypothesis. Identify and eliminate possible obstacles and identify an alternative creative solution.Roles and Responsibilities: -o Identify opportunities and partner with key stakeholders to set priorities, manage expectations, facilitate change required to activate insights, and measure the impacto 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 challengeso Can guide team to Integrate custom analytical solutions (e.g., predictive modeling, segmentation, issue tree frameworks) to support data-driven decision-makingo Monitors and manages project baseline to ensure activities are occurring as planned - scope, budget and schedule – manages varianceso Anticipates problems before they occur; defines the problem or risk; identifies possible causes; works with team to identify solutions; selects and implements most appropriate solutiono Identifies potential points of contention for missed deliverables; creates and implements strategy to mitigate shortfalls in timeline and budgeto Develop and manage plans to address project strengths, weaknesses, opportunities and threatso Translate and communicate results, recommendations, and opportunities to improve data solutions to internal and external leadership with easily consumable reports and presentations.o Expected to act independently to deliver projects to schedule, budget and scope; support provided as required and requested, and is self-driven and motivatedo Able to manage multiple clients, lead technical client calls and act as a bridge between product teams and clientExperience Required: -- 3 plus years experince.o Experience in design and review of new solution concepts and leading the delivery of high-impact analytics solutions and programs for global clientso Should be able to apply domain knowledge to functional areas like market size estimation, business growth strategy, strategic revenue management, marketing effectivenesso 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.o Must have the ability to adapt to changing business priorities in a fast-paced business environmento Should have the ability to handle structured /unstructured data and have prior experience in loading, validating, and cleaning various types of datao Should have a very good understanding of data structures and algorithmso Experience leading and working independently on projects in a fast-paced environmento Management skills to manage more than one large, complex projects simultaneouslyo Strong communication and interpersonal skills (includes negotiation)o Excellent written and verbal communication skillsMust have technical skills: -o IT background with experience across the systems development life cycle with experience in all project phases – plan, initiate, elaborate, design, build, test, implement.o Working knowledge of market-leading data analytics tools such as - Spotfire, Tableau, PowerBI, SAP HANA is desiredo Domain experience of retails/Ecom is pluso Well versed with advance SQL/Excelo Good with any scripting language/data extraction in Python/R etc.o Working knowledge of project management methodology, tools and templates (includes program/project planning, schedule development, scope management and cost management)Powered by JazzHR