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...
The data & analytics role will play an integral part in driving the cost to serve program by developing customer-centric solutions, building & extracting value from data, and enabling the company's broader data transformation journey. The Cost to Serve initiative seeks to empower decision-makers with actionable data powered by the data lake and offering unprecedented levels of granularity. This role will have the opportunity to work cross-functionality across many areas of the business to creatively define the solutions needed to drive efficiency and save money, which is a key pillar of Walmart's every day low price strategy. The data products range from the most basic data development all the way to full-stack development of user-facing products, and will challenge the associate to manage the key phases of the product lifecycle from ideation, through requirements gathering, data analysis, logic creation, productionisation, deployment, and user training / adoption.
Key business partners will include: Business Operators, Finance, Product Development, Engineering, Data Governance, Data Science, etc.
You'll make an impact by:
Supporting the understanding of the priority order of requirements and service level agreements.
Helping to identify the most suitable source for data that is fit for purpose.
Performing initial data quality checks on extracted data.
Translating 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.
Understanding, articulating, interpreting, and applying the principles of the defined strategy to unique, moderately complex business problems that may span one or main functions or domains.
Identifying and recommending the most suitable visualization tools based on context. Generates appropriate graphical representations of data and model outcomes.
Understanding 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.
Building 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.
Customizing 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.
Promoting and educating others on data quality awareness.
Profiling, analyzing, and assessing data quality.
Testing and validating data quality requirements. Continuously measures and monitors data quality.
Delivering against data quality service level agreements. Manages operational Data Quality Management procedures.
Managing 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.
Interpreting company and regulatory policies on data. Educates others on data governance processes, practices, policies, and guidelines.
Evaluating proposed business cases for projects and initiatives. Influences business stakeholder decision making.
Translating 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.
Challenging business assumptions on topics related to one's domain expertise. Develops new organization-wide processes and ways of working.
Teaching and guiding others on best practices. Proactively engages in the external community to build Walmart's brand and learns more about industry practices.
Collecting and tabulating data and evaluates results to determine accuracy, validity, and applicability.
Supporting the identification and application of statistical techniques based on requirements.
Applying suitable technique under direction from leadership.
Assisting 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.
Using 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).
Driving 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.
Promoting and supporting 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.
Ensuring 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.
The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
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.
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 3 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 1 year's experience in data analysis, data science, statistics, or related field. Option 3: 5 years' experience in data analysis, data science, statistics, or related field.
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
Need convincing? Let's review Walmart's best features:
- 51%of reviewers say women and men are treated equally at Walmart.