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Senior Manager, Advanced Analytics

110 302 - 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
Senior Manager, Advanced Analytics (Python/SQL/Power BI): Leading advanced analytics projects that develop forecasting models, data pipelines, dashboards, and production-ready algorithms for retail inventory and replenishment with an accent on statistical modeling, demand forecasting, and data-driven business recommendations. Focus on managing complex analytics projects, validating prototypes, detecting retail data patterns, and improving store-level ordering, forecast accuracy, and inventory outcomes.

Location: 811 Excellence Dr, Bentonville, AR 72716, United States

Salary: $110,302.00–$180,000.00 per year, plus annual or quarterly performance incentives.

Company

hirify.global is Walmart’s business unit connecting retail data and advertising capabilities.

What you will do

  • Lead a team delivering business-area and category analytics objectives, including coaching, performance feedback, career development, and mentoring.
  • Own multiple analytics projects end-to-end, manage implementation risk, and collaborate with senior leaders, business partners, vendors, and cross-functional teams.
  • Develop and implement data models, prototypes, production-ready algorithms, and advanced analytics solutions for complex business and technical problems.
  • Oversee testing and validation of analytical solutions and develop data analysis techniques with Advanced Analytics Experts.
  • Present actionable recommendations based on market insights and data analysis to support business results and strategic decision-making.
  • Manage product enhancement backlogs, pilot incremental upgrades, and establish governance structures for agile projects.

Requirements

  • Bachelor’s degree or equivalent in Business, Accounting, Statistics, or a related field, plus 3 years of experience in data analytics or related experience; any amount of experience with the required skills will be accepted.
  • Experience using Python for data validation and Power BI and Python for data stories, dashboards, and visualizations.
  • Advanced data analysis experience with clustering, correlation analysis, feature engineering, and dimension reduction for demand forecast modeling.
  • Experience with statistical modeling for order replenishment, store-level ordering, cost optimization, waste reduction, and minimizing out-of-stock situations.
  • Experience developing SQL data pipelines and using advanced SQL for data preparation, analysis, and validation.
  • Experience analyzing retail sales datasets, including anomalies, seasonality, cannibalization, and price elasticity.
  • Experience with requirements elicitation, gap analysis, stakeholder collaboration, data analysis, process flows, and concise reporting.

Culture & Benefits

  • Full-time employment with health coverage including medical, vision, and dental benefits.
  • Financial benefits include 401(k), stock purchase, and company-paid life insurance.
  • Paid time off includes PTO and sick leave, parental leave, family care leave, bereavement, jury duty, and voting leave.
  • Additional benefits include short- and long-term disability, education assistance with company-paid college degrees, military service pay, adoption expense reimbursement, and company discounts.
  • Benefits and eligibility may depend on job classification and length of employment and are subject to plan terms and change.
  • Employment is subject to a drug-free workplace and no-tolerance policy for illegal drugs and alcohol on the job.

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