Principal Data Analyst

3 weeks ago

Bentonville, United States Wal-Mart Stores , Inc. Full time

Location BENTONVILLE, AR Career Area Data Analytics and Business Intelligence Job Function Data Analytics Employment Type Regular/Permanent Position Type Salary Requisition WD1845840 What you'll do at What you'll do...Position: Principal Data AnalystJob Location: 2914 SE I Street, Bentonville, AR 72716Duties: Analyze the business problem within one's 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. Assess 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. 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 one's domain expertise. Mentor the team members on new business insights and allied developments. Proactively engage in the external community to build Walmart's brand and learn more about industry practices. 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. Promote the value of Knowledge Discovery in Data (KDD) for business managers. Identify and applies suitable KDD tool basis business requirement. Guide junior team members on tools and techniques. Stay abreast of best practices in KDD techniques. Test and evaluate multiple solutions, methods, and models to determine accuracy, validity, and applicability. Establish standards for application and interpretation of statistical data. Conduct statistical experiments (for example hypothesis tests, confidence intervals) and builds statistical models using packages like Statistical Analysis Systems (SAS). Design, write, and publish numerous research documents on diverse topics. Consult on complex situations to test hypotheses, anticipate pitfalls, prevent false conclusions, and advise others on avoiding them. Provide insights to the business based on research findings.Minimum education and experience required: Master's degree or the equivalent in Engineering or a related field plus 2 years of experience in data analysis or a related field; OR Bachelor's degree or the equivalent in Engineering or a related field plus 4 years of experience in data analysis or a related field.Skills required: Must have experience with: Defining customer requirements and architecting best-in-class analytic solutions using BI tools such as MicroStrategy, Tableau, PowerBI; Developing and deploying Analytics app with data visualizations and interactive dashboards in customer environments to analyze data daily to identify and act on their gaps; Developing advanced reports and dashboards to implement machine learning and data mining algorithms to derive forecasting analysis for customers; Writing complex SQL queries in various databases (SQL server, Teradata, etc.) to extract the data; Data analysis, troubleshooting and validation in customer environments using SQL; Developing test plans and test solutions to validate met requirements; Coordinating design reviews and validating that solutions meet or exceed requirements and service-level agreements; Providing end-user technical support in post-deployment; Presenting strategic information, data, and results in a clear and understandable manner utilizing methods appropriate to various forums; Providing technical training on business intelligence tools to groups larger than 30 participants; Managing and supervising a team of Analysts via onboarding, mentoring, and training on product and technical aspects. Employer will accept any amount of experience with the required skills.#LI-DNP#LI-DNIWal-Mart is an Equal Opportunity Employer.

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