Why you should apply for a job with Walmart:
- 51%of reviewers say women and men are treated equally at Walmart.
What you'll do...
Data Source Identification: Supports the understanding of the priority order of requirements and service level agreements. Helps identify the most
suitable source for data that is fit for purpose. Performs initial data quality checks on extracted data.
Problem Formulation: Translates business problems within one's discipline to data related or mathematical solutions. Identifies what methods (for
example, analytics, big data analytics, automation) would provide a solution for the problem. Shares use cases and gives examples to demonstrate
how the method would solve the business problem.
Data Strategy: Understands, articulates, interprets, and applies the principles of the defined strategy to unique, moderately complex business
problems that may span one or main functions or domains.
Data Visualization: Identifies and recommends the most suitable visualization tools based on context. Generates appropriate graphical
representations of data and model outcomes. Understands 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. Defines application design based on customer
requirements. Builds compelling stories based on context to integrate multiple pieces of information into cohesive insights. Presents to and influences
diverse audiences using the appropriate frameworks and conveys clear messages through deep business and stakeholder understanding.
Customizes communication style based on stakeholders and leverages relationships to drive behavioral change. Guides and mentors junior
associates on story types, structures, and techniques based on context.
Data Quality Management: Promotes and educates others on data quality awareness. Profiles, analyzes, and assesses data quality. Tests and
validates data quality requirements. Continuously measures and monitors data quality. Delivers against data quality service level agreements.
Manages operational Data Quality Management procedures. Manages data quality issues and leads data cleansing activities to remove data quality
defects, improve data quality, and eliminate unused data. Determines user accessibility and removes or restricts user access as needed. Interprets
company and regulatory policies on data. Educates others on data governance processes, practices, policies, and guidelines.
Applied Business Acumen: Evaluates proposed business cases for projects and initiatives. Influences business stakeholder decision making.
Translates business requirements into strategies, initiatives, and projects and aligns them to business strategy and objectives and drives the
execution of deliverables. Builds and articulates the business case and return on investment and delivers work that has demonstrable value.
Challenges business assumptions on topics related to one's domain expertise. Develops new organization-wide processes and ways of working.
Teaches and guides others on best practices. Proactively engages in the external community to build Walmart's brand and learns more about industry
Exploratory Data Analysis: Collects and tabulates data and evaluates results to determine accuracy, validity, and applicability. Supports the
identification and application of statistical techniques based on requirements. Applies suitable technique under direction from leadership. Assists in
the planning, design and implementation of exploratory data analysis research projects. Understands existing statistical models and identifies and
recommends statistical models based on hypothesis. Uses advanced Knowledge in Data Discovery tools to write queries and analyzes data to
identify patterns, trends, outliers, and correlations. Conducts statistical experiments(for example hypothesis tests, confidence intervals) and builds
basic statistical models using packages like Statistical Analysis Systems(SAS).
Drives the execution of multiple business plans and projects by identifying customer and operational needs; developing and communicating business
plans and priorities; removing barriers and obstacles that impact performance; providing resources; identifying performance standards; measuring
progress and adjusting performance accordingly; developing contingency plans; and demonstrating adaptability and supporting continuous learning.
Provides supervision and development opportunities for associates by selecting and training; mentoring; assigning duties; building a team-based work
environment; establishing performance expectations and conducting regular performance evaluations; providing recognition and rewards; coaching
for success and improvement; and ensuring diversity awareness.
Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity by training and providing direction to
others in their use and application; ensuring compliance with them; and utilizing and supporting the Open Door Policy.
Ensures business needs are being met by evaluating the ongoing effectiveness of current plans, programs, and initiatives; consulting with business
partners, managers, co-workers, or other key stakeholders; soliciting, evaluating, and applying suggestions for improving efficiency and cost effectiveness; and participating in and supporting community outreach events.
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 4 years' experience in data analysis, data science, statistics, or related field. Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in data analysis, data science, statistics, or related field. Option 3: 6 years' experience in data analysis, data science, statistics, or related field.
1 year's supervisory experience.
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), Supervisory experience
2608 Se J St, BENTONVILLE, AR 72712, United States of America
Need convincing? Let's review Walmart's best features:
- 51%of reviewers say women and men are treated equally at Walmart.