Data Analyst
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 impact
o 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
o Can guide team to Integrate custom analytical solutions (e.g., predictive modeling, segmentation, issue tree frameworks) to support data-driven decision-making
o Monitors and manages project baseline to ensure activities are occurring as planned - scope, budget and schedule – manages variances
o 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
o Identifies potential points of contention for missed deliverables; creates and implements strategy to mitigate shortfalls in timeline and budget
o Develop and manage plans to address project strengths, weaknesses, opportunities and threats
o 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 motivated
o Able to manage multiple clients, lead technical client calls and act as a bridge between product teams and client
Experience 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 clients
o Should be able to apply domain knowledge to functional areas like market size estimation, business growth strategy, strategic revenue management, marketing effectiveness
o 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 environment
o Should have the ability to handle structured /unstructured data and have prior experience in loading, validating, and cleaning various types of data
o Should have a very good understanding of data structures and algorithms
o Experience leading and working independently on projects in a fast-paced environment
o Management skills to manage more than one large, complex projects simultaneously
o Strong communication and interpersonal skills (includes negotiation)
o Excellent written and verbal communication skills
Must 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 desired
o Domain experience of retails/Ecom is plus
o Well versed with advance SQL/Excel
o 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)