(USA) Principal, Data Analyst

Position Summary...

What you'll do...

Tech Problem Formulation Requires knowledge of Analyticsbig data analytics automation techniques and methods Business understanding Precedence and use cases Business requirements and insights To analyze the business problem within ones discipline and questions assumptions to help the business identify the root cause Identify and recommend approach to resolve the business problem to create effective technology focused solutions Set relevant deliverables based on the established success criteria and define key metrics to measure progress and effectiveness of the solution Quantify business impact Data Source Identification Requires knowledge of Functional business domain and scenarios Categories of data and where it is held Business data requirements Database technologies and distributed datastores eg SQL NoSQL Data Quality Existing business systems and processes including the key drivers and measures of success To understand the priority order of requirements and service level agreements Define and identify the most suitable sources for required data that is fit for purpose referring to external sources as required Perform initial data quality checks on the extracted data Review the deliverables of junior associates and provides guidance on data source and quality Understanding Business Context Requires knowledge of Industry and environmental factors Common business vernacular Business practices across two or more domains such as product finance marketing sales technology business systems and human resources and indepth knowledge of related practices Directly relevant business metrics and business areas To evaluate proposed business cases for projects and initiatives Translate business requirements into strategies initiatives and projects and aligns them to business strategy and objectives and drives the execution of deliverables Build and articulate the business case and return on investment and delivers work that has demonstrable value Challenge business assumptions on topics related to ones domain expertise Mentor the team members on new business insights and allied developments Proactively engage in the external community to build Walmarts brand and learn more about industry practices Data Visualization Requires knowledge of Visualization guidelines and best practices for complex data types Multiple data visualization tools for example Python R libraries GGplot Matplotlib Ploty Tableau PowerBI etc Advanced visualization techniques tools Multiple story plots and structures OABCDE Communication influencing technique Emotional intelligence To identify and recommend the most suitable visualization tools based on context Generate appropriate graphical representations of data and model outcomes Understand customer requirements to design appropriate data representation for complex data sets and drive User Experience designers and User Interface engineers to build front end applications Define application design based on customer requirements Build compelling stories based on context to integrate multiple pieces of information into cohesive insights Present to and influence diverse audiences using the appropriate data visualization frameworks and conveys clear messages through deep business and stakeholder understanding Customize communication style based on stakeholders and leverages relationships to drive behavioral change Guide and mentor junior associates on story types structures and techniques based on context Exploratory Data Analysis Requires knowledge of relevant Knowledge Discovery in Data KDD tools applications or scripting languages such as SQL Oracle Apache Mahout MS Excel Python Statistical techniques for example mean mode median variance standard deviation correlation and sorting and grouping Research analysis standards and activities Documentation procedures such as drafting editing