Data Analyst III

Position Summary...



What you'll do...



Working at Sam's Club means a career without boundaries. There's always room to grow, to take on another challenge, to roll up your sleeves and contribute, and to find professional rewards for your hard work. Yes, we are a division of the Fortune #1 company, Walmart, Inc. But you'll quickly find that we're a company that wants you to feel comfortable bringing your whole self to work. A career at Sam's Club is where the world's most complex challenges meet a kinder way of life. Our mission spreads far beyond the walls of our clubs. Join us and you'll discover why our company is a world leader in diversity and inclusion, sustainability, and community involvement. From day one, you'll be empowered and equipped to do the best work of your life.



About the role:



A Data Analyst III would be responsible for the end-to-end analytics needs of the business which will include data mining, data analysis, drawing insights, hypothesis testing, statistical analysis. You will need to be well versed in translating business requirements into data strategy solutions, writing code, collaborating with cross-functional teams, and providing insights that are valuable to the business. Massive amounts of data collected by multiple business partners and leaders including analytics, merchandising, marketing, product, and data sciences - all of whom use transactional & behavioral data to drive decisions. Cross-collaborative partners will look to you as a trusted advisor - a subject matter expert - who provides guidance as it relates to efficiencies and best practices for measuring, collecting, storing, and reporting different aspects of the business. As a member of our team, you'll be able to say that you work for the world's largest retailer and contribute to the development to best-in-class methodologies that impacted perception and drastically changed business as we know it.



You'll sweep us off our feet if you can:

• Work in a high-performance & global team that is spread across India & USA

• Work on high-impact analytics projects with the ability to turnaround results quickly

• Partner with talented engineers, product owners, and data analysts to contribute to the vision, design, and measurement of our various business areas

• Effectively communicate & collaborate closely with business stakeholders, product managers, engineers, and other data analysts/scientists to understand the requirement from business and devise high quality data driven solutions

• Derive insights and report on various aspects of operating a large omni-channel retail business

You'll make an impact by:

• Statistical analysis, Hands on Model development and deployment using ML/AI algorithms, ETL techniques, Exposure to web development / Java / Flash / Django
• 
  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 in-depth knowledge of related practices; Directly relevant business metrics and business areas. To Provide recommendations to business stakeholders to solve complex business issues.
• 
  Develop business cases for projects with a projected return on investment or cost savings. Translate business requirements into projects, activities, and tasks and aligns to overall business strategy and develops domain specific artifact. Serve as an interpreter and conduit to connect business needs with tangible solutions and results. Identify and recommend relevant business insights pertaining to their area of work.
• 
  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 (e.g. SQL, NoSQL); Data Quality; Existing business systems and processes, including the key drivers and measures of success. To Understand the appropriate data set required to develop simple models by developing initial drafts. Support the identification of the most suitable source for data Maintains awareness of data quality.
• 
  Tech. Problem Formulation: Requires knowledge of Analytics/big data analytics / automation techniques and methods; Business understanding; Precedence and use cases; Business requirements and insights. To Identify possible options to address the business problems within one's discipline through relevant analytical methodologies. Demonstrate understanding of use cases and desired outcomes.
  
• Data Quality Management: Requires knowledge of Data quality management techniques and standards; Business metadata definitions and content data definitions; Data profiling tools, data cleansing tools, data integration tools, and issues and event management tools; Understanding of user's data consumption, data needs, and business implications; Data modeling, storage, integration, and warehousing; Data quality framework and metrics; User access best practices; Enterprise data architecture, modeling and design, storage, integration, and warehousing; Enterprise data quality framework and metrics; Enterprise data strategy; Enterprise data quality strategy; Enterprise strategy to address regulatory and ethical requirements and policies around data privacy, security, storage, retention, and documentation. To Promote data quality awareness.
  
• Profile, analyze, and assess data quality. Test and validate data quality requirements under supervision of others. Execute operational Data Quality Management procedures under supervision of others. Conduct data cleansing activities to remove data quality defects, improve data quality, and eliminate unused data under supervision of others. Grant user access to data. Learn company and regulatory policies on data. Learn data governance processes, practices, policies, and guidelines
• 
  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 Generates appropriate graphical representations of data and model outcomes.
  
• Understand customer requirements to design appropriate data representation for multiple data sets. Work with User Experience designers and User Interface engineers as required to build front end applications. Present to and influences the team and business audience using the appropriate data visualization frameworks and conveys clear messages through business and stakeholder understanding.
  
• Customize communication style based on stakeholder under guidance and leverages rational arguments. 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, Bibliography format; Relevant Knowledge Discovery in Data (KDD) tools, applications, or scripting languages such as SQL, DB, SAS, Oracle, Apache Mahout, MS Excel, Python; KDD industry best practices and emerging trends. To Collect and tabulate data and evaluate results to determine accuracy, validity, and applicability. Support the identification and application of statistical techniques based on requirements. Apply suitable technique under direction from leadership.
  
• Assist in the planning, design and implementation of an exploratory data analysis research projects. Understand existing statistical models and identify and recommend statistical models based on hypothesis. Use advanced Knowledge in Data Discovery tools to write queries and analyze data to identify patterns, trends, outliers, and correlations.
  
• Conduct statistical analysis(for example hypothesis tests, confidence intervals) and build basic statistical models using relevant packages/software suites.
• 
  Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales.
• 
  Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities.
• 
  Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans; using the Open Door Policy; and demonstrating and assisting others with how to apply these in executing business processes and practices.

Experience:



3 to 6 Years



Skills Required:



Strong SQL, Dashboard development on Power BI / Tableau, Data mining & analysis, Cloud databases (Databricks & Google Cloud)



Desirable Skills:



Statistical analysis, Hands on Model development and deployment using ML/AI algorithms, Python, ETL techniques, Exposure to web development / Java / Flash / Django



Who We Are:



Sam Walton opened the first Sam's Club in 1983 to meet a growing need among customers who wanted to buy merchandise in bulk. Since then, Sam's Club has grown rapidly, operating almost 600 clubs in the US. By offering affordable, wholesale merchandise to members, Sam's Club helps make saving simple for families and small business owners.



Equal Opportunity Employer:



Walmart, Inc. is an Equal Opportunity Employer - By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, ideas, and opinions - while being inclusive of all people.



Minimum Qualifications...



Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.



Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 1 year's

experience in data analysis, data science, statistics, or related field. Option 2: 3 years' experience in data analysis, data science, statistics, or related field



Preferred Qualifications...



Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.



Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau)



Primary Location...

2101 SE SIMPLE SAVINGS DR, BENTONVILLE, AR 72712-4304, United States of America