Data Analyst Intern

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: -  

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)