Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$110к-180к/год
$120к$140кмедиана$140к
По похожим ролям (50) ~ $140к/год
На СНГ рынке: $3.5к/мес ($2.7к - $4.9к)
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Роль объединяет руководство командой, практическую аналитику и развитие продуктов. Объем задач широкий, но обязанности и бизнес-контекст описаны достаточно четко.
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Широкий круг задачАктуальный стекАналитика ритейлаКрупный работодатель
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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