Manager, Advanced Analytics

Position Summary...

What you'll do...

As a Manager, Advanced Analytics, you'll be part of leading a collaborative team that's dedicated to empowering transportation, E2E supply chain operators and leadership with actionable insights, reporting, and automation. You'll utilize advanced analytical techniques to improve efficiency, optimize operations, and drive strategic decision-making within our transportation department.

The Manager, Advanced Analytics will work closely with cross-functional teams to identify opportunities for data-driven insights and develop innovative solutions to enhance our transportation network. We're looking for someone with strong initiative and strong critical thinking mixed with experience in SQL, Python, Dataiku, Tableau, Google Big Query on cloud service and local server environments. The products managed and built by this role and teams have a high degree of visibility with stakeholder consumers in the thousands or possess positions of significance.

This is an exciting opportunity to work on projects that have a real impact on the success of the organization and to collaborate with others who share your passion for process improvement. The role is located in Bentonville, AR.

You'll sweep us off our feet if…

• You have strong exploratory data analysis skills and ability to make analytical, data driven recommendations and solutions.

• Advanced proficiency in SQL, GCP, Tableau, Dataiku, Python.

• Project Management experience with end-to-end ownership of projects.

• You can demonstrate you've lead and developed a team.

• You have compelling, persuasive oral and written communication skills and can build strong cross-functional relationships.

• Ability to thrive in ambiguity and often lack of clarity, demonstrated ability to thrive in a fast-paced environment while managing multiple projects and tight deadlines.

• Have curiosity and ownership mindset to understand the business problems beyond the task or data.

• Analytical capabilities to root cause opportunities and storyboard visualizations to deliver actionable insights, as well as guide analysts to do same.

• Ability to make compelling data-driven recommendations to guide productivity strategy

What you'll do:

People Development:

Build and lead 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. Maintains team motivation and engagement.

Data Source Identification:

Identify and evaluate potential data sources from internal and external sources.

Implement processes for acquiring and integrating data from various sources.

Ensure that the data is accurate, complete, and accessible.

Understand Business Context:

Work closely with stakeholders to understand business goals and requirements.

Translate business requirements into data requirements.

Develop an understanding of the industry and competitive landscape.

Technical Problem Formulation:

Formulate technical problems and solutions for data-related challenges.

Develop and implement algorithms for data analysis and modeling.

Evaluate and select appropriate software tools, frameworks, and technologies.

Data Visualization:

Design and execute effective data visualization strategies for presenting complex data.

Develop and implement effective dashboards and reports.

Collaborate with other teams to create impactful visualizations that support business decisions.

Data Quality Management:

Plan and lead efforts to ensure data quality and integrity.

Develop and implement data governance policies and procedures.

Monitor data quality metrics and proactively identify and address issues.

Exploratory Data Analysis:

Conduct exploratory analyses to generate insights and identify patterns in data.

Develop and implement statistical analyses and models.

Communicate findings and insights to stakeholders in a clear and impactful manner.

You'll make an impact by…

• Advanced Analytics: In-depth investigation of key drivers of transportation dynamic optimization and data quality.
  
  Work with large, disparate datasets to measure business KPIs and to conduct strategic analyses to inform critical business decisions. Develop data visualization to monitor and quantify the impact of changes and unique business challenges and use data to influence strategic decision making.

• Partnership and Collaboration: Engaging with team members and cross-functional partners on a consistent basis and establish credibility and influence change.
  
  Drive process optimization and collaboration across the organization. Analyze stakeholder needs and partner with them to share relevant information.

• Planning: Thinking strategically to identify the key metrics and initiatives needed to drive change within the organization. Quickly translate strategic, conceptual ideas into clear action plans, roadmaps, and timelines.

• Continuous Improvement: Analyze and improve processes by leveraging lean, six sigma, and zero-loss principles. Identify opportunities to positively impact cost and growth plans, and influence incorporation into long-range plans.

Qualifications:

1.Bachelor's degree in a relevant field such as computer science, statistics, operations research, or engineering. Master's or Ph.D. degree preferred.

2.Minimum of 5 years of experience in advanced analytics, data science, or related roles, preferably in the transportation or logistics industry.

3.Excellent problem-solving and critical-thinking skills, with the ability to frame complex business problems and develop analytical solutions.

4.Strong communication and presentation skills, with the ability to effectively convey complex analytical concepts to non-technical stakeholders.

5.Strong knowledge of statistical analysis, predictive modeling, machine learning, and optimization techniques.

6.Proven ability to work effectively in a fast-paced, collaborative environment, and manage multiple projects simultaneously.

7.Demonstrated passion for continuous learning and staying updated on the latest advancements in analytics and transportation industry trends.

8.Proficiency in programming languages such as Python, R, or SQL, and experience working with big data platforms and tools (e.g., Hadoop, Spark).

9.Demonstrated experience in leading and managing a team of analysts or data scientists.

10. Familiarity with transportation systems, supply chain management, or logistics operations is a plus.

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.

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

Minimum Qualifications...

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

Bachelor's degree in Business, Finance, Accounting, Statistics, or related field and 2 years' experience in data analytics or related field OR 4 years'

experience in data analytics or related field.

Preferred Qualifications...

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

Certificate in business analytics, data mining, or statistical analysis

Masters: Business Administration, Masters:

Information Systems, Masters: Statistics

Primary Location...

311 NORTH WALTON BOULEVARD, BENTONVILLE, AR 72716, United States of America