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Walmart Canada · 1 month ago

(USA) Senior Manager, Advanced Analytics

Bentonville, AR

Full-time

Onsite

Mid, Senior Level

$90K/yr - $180K/yr

4+ years exp

Walmart Inc. is a leading retail corporation, and they are seeking a Senior Manager of Advanced Analytics to consult with senior leadership, develop data models, and lead a team to drive business results through advanced analytics. The role involves managing complex projects and collaborating with cross-functional teams to implement data-driven solutions and strategies.

DeliveryRetailShopping

Responsibilities

Consults with senior leadership business partners to understand overall goals and functional objectives, decipher key business challenges, identify tactics to anticipate and mitigate business challenges, and develop potential success criteria

Focuses efforts on items that have maximum impact to the business

Contributes to business area strategic planning by providing input and actionable recommendations and solutions to senior leadership based on advanced research and analytical findings

Builds and leads a team to execute on business area or category objectives

Coaches team members and provides feedback to enhance skills, knowledge, and work performance

Conducts performance and career development conversations if applicable

Maintains team motivation and engagement

Mentors less experienced associates and managers

Owns complex projects end-to-end for a business area, category, or prototype

Manages risk associated with implementation

Develops data models, algorithms, and approaches for complex projects within a business area or category to drive business results and value

Collaborates with project team to implement modeling solutions

Manages the development and implementation of prototypes and production-ready complex algorithms for complex projects

Manages the testing and validation process to monitor the solution

Evaluates new data analysis techniques to support prototype development

Collaborates with cross-functional partners on prototypes and algorithms

Leads the development and execution of advanced analytics to address unique business and technical problems and support data-driven decision making

Makes strategic recommendations to cross-functional leadership based on analysis results

Collaborates across all analytics functions to develop and implement data analysis strategies and anticipate future trends and analysis

Collaborates with functional leadership and cross-functional teams to develop consultative solutions for complex projects for a business area, category, or prototype

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 promoting a belonging mindset in the workplace

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, coworkers, or other key stakeholders, soliciting, evaluating, and applying suggestions for improving efficiency and cost-effectiveness, and participating in and supporting community outreach events

Demonstrates and encourages respect for all, builds a high-performing team, seeks and embraces differences in people, cultures, ideas, and experiences, creates a workplace where all associates feel seen, supported, and connected through a culture of belonging so associates thrive and perform, drives a positive associate and customer/member experience for all, identifies, attracts, and retains the best team members

Creates a discipline and focus around developing talent through feedback, coaching, mentoring, and developmental opportunities, promotes an environment allowing everyone to bring their best selves to work, empowers associates and partners to act in the best interest of the customer/member and company, and regularly recognizes others' contributions and accomplishments

Builds strong and trusting relationships with team members and business partners, works collaboratively and cross-functionally to achieve objectives, and communicates and listens attentively with energy and positivity to motivate, influence, and inspire commitment and action

Delivers expected business results while putting the customer/member first and consistently applying an omnimerchant mindset and acts with an Every Day Low Cost mindset to drive value and Every Day Low Prices for customers/members

Adopts a holistic perspective that considers data analytics, customer/member insights, and different parts of the business when making plans and shaping the team's strategy

Consistently raises the bar and seeks to improve, demonstrates curiosity and a growth mindset, seeks feedback, asks thoughtful questions, fosters an environment that supports learning, innovation, and learning from mistakes and intelligent risk-taking, and exhibits resilience in the face of setbacks

Seeks and implements continuous improvements and encourages the team to leverage new digital tools and ways of working

Qualification

Data analyticsStatistical programmingBusiness analytics certificateData miningStatistical analysisTeam leadershipMentoringCollaborationCommunicationProblem-solving

Required

Bachelor's degree in Business, Finance, Accounting, Statistics, or related field and 4 years' experience in data analytics or related field OR 6 years' experience in data analytics or related field