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Задачи в розничной аналитике описаны ясно, а работа с SQL выглядит содержательной. При этом зарплата не указана, а формат предполагает работу в офисе, поэтому важные условия остаются неизвестными.
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Зарплата не указанаАктуальные технологииПонятные задачиРозничная аналитика
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Business Analyst, Analytics (Retail Analytics): Analyzing complex retail datasets and developing merchandising insights, KPIs, dashboards, and reporting with an accent on SQL, sales and inventory analysis, pricing, promotions, and forecasting. Focus on translating business questions into analytical solutions, identifying data quality issues, and communicating actionable recommendations across merchandising, planning, finance, and technology teams.
Location: Salt Lake City, Utah, United States
Company
Bed Bath & Beyond is a retail company focused on merchandising, product, category, customer, and commerce performance.
What you will do
Use advanced SQL to extract, validate, manipulate, and analyze large retail datasets.
Support merchandising planning, forecasting, assortment decisions, business cases, and performance measurement.
Develop and maintain merchandising KPIs, dashboards, and recurring reports.
Partner with Merchandising, Planning, Finance, Analytics, Data Engineering, and Technology teams to create analytical solutions.
Investigate reporting discrepancies, identify data quality issues, and communicate findings and recommendations to technical and business audiences.
Requirements
2+ years of relevant analytics, business intelligence, merchandising, or retail experience.
Strong SQL skills and experience querying large datasets with relational databases or cloud data warehouses.
Strong analytical problem-solving skills, intellectual curiosity, and the ability to identify trends, correlations, anomalies, and data quality issues.
Strong Microsoft Excel skills and the ability to translate business questions into actionable analytical recommendations.
Bachelor’s degree in a quantitative or analytical field, or equivalent experience.
Ability to communicate analytical findings clearly to business stakeholders.
Nice to have
Retail or e-commerce experience, especially supporting Merchandising or Merchandise Planning.
Experience with demand planning, forecasting, inventory analytics, pricing, promotions, product hierarchies, or SKU-level data.
Experience with BigQuery, MicroStrategy, or Python.
Advanced degree in Analytics, Statistics, Mathematics, Information Systems, Business, or a related field.
Culture & Benefits
Full-time position with a culture centered on understanding, acceptance, respect, and inclusion.
General office functions require sitting, standing, bending, stooping, and reaching.
Occasional lifting of up to 25 pounds may be required.
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