(USA) Director, Data Analytics

Position Summary...

What you'll do...

R-1022092 Director of Analytics – Supply Chain Data

As part of Walmart's Supply Chain Data & Analytics Team, the Director of Analytics is responsible for developing analytical solutions to empower Supply Chain Operations. This role is responsible for driving data visibility, descriptive and predictive analytics adoption to advance data-driven insights and decision-making while building a network of influence with leaders and key stakeholders. 

The Director of Supply Chain Analytics is a key leader who will own the data and analytics project portfolio, oversee its technical development, and increase analytics adoption through cross-functional teams.  This role partners with other business, product management, and technology leaders to develop, present, and implement innovative and high-impact data analytics solutions.  This role will be a key enabler of the digital supply chain transformation journey.

You’ll sweep us off our feet if…

• You are a strategic systems thinker: you think associatively and understand relationships in complex systems.
• You have a track record of coming up with inventive and sustainable solutions for big problems and breakthrough opportunities.
• You showcase an ability to operate comfortably with ambiguity and lead both the team and stakeholders through multiple complex initiatives.
• You excel at building relationships and influencing without authority, aligning stakeholders with competing priorities.
• You have excellent communication and interpersonal skills to collaborate and communicate at an appropriate level of detail depending on the audience, including senior executives.
• You are structured in your thought process and can break down large problems into smaller, simpler problems.
• You are someone who can execute, with strong discipline and organization skills; someone who gets things done.
• You have strong analytical skills to interpret insights coming from various sources and have a mindset for continuous learning and improvement.
• You are stimulated by challenges and are ready to engage at Fortune 1 scale.

You’ll make an impact through…

• Data Strategy: Understands, articulates, interprets, and applies principles of the defined strategy to complex business problems. Leverages experiences and learnings to inform and influence data strategy that typically spans one or more functions or domains.
• 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 learn more about industry practices.
• Problem Formulation: Collaborates with multiple business stakeholders to gain an understanding of complex organizational problems from varied perspectives. Influences the business to redefine the problem statement. Designs multi-stage, data-driven solutions to real-world problems for issues that are amenable to a data-driven solution. Redefines data analytics, big data analytics, automation goals, and deliverables by leveraging experience with the business problem. Identifies return on investment.
• Code Development & Testing: Writes code to develop the required solution and application features by determining the appropriate programming language and leveraging business, technical, and data requirements. Creates test cases to review and validate the proposed solution design. Creates proofs of concept. Tests the code using the appropriate testing approach. Deploys software to production servers. Contributes code documentation, maintains playbooks, and provides timely progress updates.
• Model Assessment & Validation: Identifies and reviews model evaluation metrics based on analytical requirements. Applies suitable techniques for model testing and tuning, to assess accuracy, fit, validity, and robustness. Ensures testing information is documented and maintained by the team.
• 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.
• Analytical Modeling: Explores and creates an automated feature generation framework. Develops the standard EDA process. Develops best practices on experimentation. Drives exploratory work in newer areas of Math, Statistics, Machine Learning, and Optimization Techniques. Continuously improves the business's data analysis models. Creates industry-leading performance by leveraging new and creative data-sources. Employs the latest in machine learning in the department, Scopes, designs, and implements new machine-learning models to support the business's initiatives and programs with a view of achieving overall objectives and targets. Guides teams in the development and delivery of big data predictive technologies models, and fully working prototypes of complex algorithms using readily available libraries.
• Being a Culture Champion: Cultivates an environment where associates respect and adhere to company standards of integrity and ethics by integrating these values into all programs and practices; developing consequences for violations or non-compliance; and supporting the Open Door Policy. Develops and leverages internal and external partnerships and networks to maximize the achievement of business goals by sponsoring and leading key community outreach and involvement initiatives; engaging key stakeholders in the development, execution, and evaluation of appropriate business plans and initiatives; and supporting associate efforts in these areas.

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. 
 

Minimum Qualifications: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in data analysis, data science, statistics, or related field

Preferred Qualifications: 

• Master of Business Administration and or Masters in Industrial Engineering / Operations Research / Mathematics/Statistics
• 7 years' experience in data science, data analysis, business analytics, statistics, or related field.
• 5 years' related industry experience (for example, retail, merchandising, eCommerce)
• 4 years' supervisory experience.
• 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).
• Proven modeling experience in leading data-driven projects from definition to execution, driving and influencing project roadmaps
• Strong written, oral communication and presentation skills
• Problem solving skills / Abstract thinking – ability to understand a real-life problem, make the right judgement of problem statement, and give a feasible design of solution.
• Experience in interacting with business stakeholders and effectively drive conversations.

Benefits & Perks: 

Beyond competitive pay, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more. 

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. 

Who We Are 

Join Walmart and your work could help over 275 million global customers live better every week. Yes, we are the Fortune #1 company. But you’ll quickly find we’re a company who wants you to feel comfortable bringing your whole self to work. A career at Walmart is where the world’s most complex challenges meet a kinder way of life. Our mission spreads far beyond the walls of our stores. Join us and you'll discover why we are 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.

careers.walmart.com 

Primary Location...701 S. WALTON BLVD., BENTONVILLE, AR 72716-6209, United States of America

Minimum Qualifications...

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

As permitted by applicable law, provide evidence of full vaccination as defined by CDC guidelines OR secure approval of medical or religious accommodation for the vaccination mandate., Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 5 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 3 years' experience in data analysis, data science, statistics, or related field. Option 3: 7 years' experience in data analysis, data science, statistics, or related field. 2 years' supervisory experience.

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, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, 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

Primary Location...

601 N WALTON BLVD, BENTONVILLE, AR 72716, United States of America