Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$70к-115к/год
$110к$130кмедиана$140к
По похожим ролям (49) ~ $130к/год
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Хорошая вакансия
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Понятные задачи в аналитике, известный работодатель и хороший пакет льгот делают вакансию достойной внимания, но работа на складе и широкий охват нескольких площадок могут ограничить гибкость.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Sr Business Data Analyst (Power BI/SQL): Building operational dashboards, data models, ETL pipelines, and analytical solutions for warehouse operations with an accent on Power BI development, DAX, statistical analysis, and diverse data sources. Focus on leading multi-site analytics projects, supporting site startups, and translating complex data into actionable improvements.
Location: Middletown, PA, US; fully onsite when the role is based out of a warehouse.
Salary: $70,000–$115,000 annually; California range $70,304–$115,000 and Washington range $80,169–$115,000.
Company
hirify.global provides supply chain and warehouse operations services.
What you will do
Develop and maintain Power BI dashboards, reports, visualizations, and back-end data models for operational and strategic decisions.
Clean, model, and analyze structured, semi-structured, and unstructured data using SQL, DAX, statistical techniques, and analytics tools.
Design and implement ETL data pipelines and standard reporting tools for site or sector needs.
Provide customized analytical solutions to HR, Finance, and other functional teams.
Lead analytics projects across multiple sites, support site startups, and implement reporting frameworks.
Serve as a Power BI and analytics community point of contact, lead knowledge-sharing sessions, and promote data literacy.
Requirements
Bachelor’s degree in Business, Logistics, Mathematics, Statistics, or a related field, or 4 years of equivalent professional experience.
3+ years of experience in data analytics, business intelligence, or a related field.
Extensive experience using SQL or scripting languages such as Python or R to query, clean, and transform data.
Proficiency in building Power BI dashboards and reports from scratch and writing DAX expressions.
Experience designing and managing data pipelines and working with diverse data sources.
Strong understanding of statistical concepts, data modeling techniques, and modern analytics trends.
Excellent communication and presentation skills, with the ability to translate data into actionable insights.
Ability to work independently, manage multiple priorities, and lead cross-functional projects.
Must be able to work fully onsite if the role is based out of a warehouse.
Culture & Benefits
Full-time, first-shift daytime position.
Medical, dental, vision, and prescription benefits.
Discounted stock purchase, general bonus plan, and generous paid time off.
Equal opportunity employer.
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