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Principal Data Analyst - Transportation Strategy & Optimization

90 000 - 180 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Principal Data Analyst - Transportation Strategy & Optimization (Data Analytics/AI): Leading ambiguous transportation and operational problems from investigation through implementation and measurement with an accent on root-cause analysis, strategic decision-making, and scalable analytical solutions. Focus on applying SQL, Python, automation, AI, and visualization to evaluate tradeoffs, influence senior stakeholders, and deliver measurable operational improvements.

Location: Onsite in Bentonville, Arkansas, United States of America

Annual salary: $90,000–$180,000, plus performance-based bonuses and possible stock compensation.

Company

hirify.global operates within Walmart, connecting operations, analytics, technology, and transformation at scale.

What you will do

  • Lead ambiguous, cross-functional transportation and operational problems from investigation through implementation and measurement.
  • Identify root causes, challenge assumptions, reframe questions, and connect analysis to operational, financial, customer, and organizational outcomes.
  • Partner with operations, product, technology, data science, and senior leadership to shape priorities and influence decisions.
  • Apply advanced analytics, automation, AI, and operational knowledge to test hypotheses, evaluate tradeoffs, and develop actionable recommendations.
  • Design scalable analytical solutions and decision frameworks using SQL, Python, visualization platforms, cloud data environments, and AI.
  • Mentor analysts, serve as a thought leader, and strengthen analytical capabilities across teams.

Requirements

  • Bachelor’s degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance, or a related field plus 4 years of experience in data analysis, data science, statistics, or a related field; or
  • Master’s degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, or Information Technology plus 2 years of relevant experience; or
  • 6 years of experience in data analysis, data science, statistics, or a related field.
  • Strong critical thinking, business and analytical judgment, strategic ownership, stakeholder leadership, technical and AI fluency, and cross-functional impact.
  • Ability to understand operational processes, identify overlooked opportunities, thrive in ambiguity, and determine the right problems to solve.
  • Ability to independently shape priorities, lead initiatives across organizational boundaries, communicate clearly with senior leaders, and drive adoption without positional authority.
  • Ability to use data and AI responsibly to develop and validate recommendations.

Nice to have

  • Experience in data science, data analysis, statistics, or a related field.
  • Master’s degree in a relevant business, technical, mathematics, analytics, or information technology discipline.
  • Related industry experience, such as retail, merchandising, healthcare, or ecommerce.
  • Successful completion of assessments in data analysis and business intelligence tools or scripting languages such as SQL, Python, Spark, Scala, R, Power BI, or Tableau.

Culture & Benefits

  • Full-time employment with medical, vision, and dental coverage.
  • Financial benefits include 401(k), stock purchase opportunities, company-paid life insurance, and performance-based bonuses.
  • Paid time off, including sick leave, parental leave, family care leave, bereavement, jury duty, voting leave, and applicable vacation or holiday time.
  • Additional benefits include short- and long-term disability, company discounts, military leave pay, and adoption and surrogacy expense reimbursement.
  • Live Better U provides eligible full-time and part-time associates with Walmart-paid education programs, including tuition, books, and fees.
  • Benefits and eligibility depend on job classification and length of employment and may be subject to plan terms.

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