Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
Средняя
$88к-146к/год
$86к$100кмедиана$120к
По похожим ролям (50) ~ $100к/год
На СНГ рынке: $2.4к/мес ($2к - $3.6к)
82
Хорошая вакансия
развернуть
Чётко описанная аналитическая роль в крупной розничной компании предлагает достойную оплату, льготы и актуальные инструменты, хотя сочетание аналитики и поддержки данных может сделать задачи довольно разнообразными.
Кликните для подробной информации
Разные задачиАктуальный стекОплата по рынкуКрупная компания
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Analyst 2: Inventory (SQL/Tableau/Python): Managing and analyzing inventory audit data while delivering reporting, dashboards, KPIs, and data-driven insights with an accent on data integrity, statistical analysis, and stakeholder engagement. Focus on building reliable ETL workflows, optimizing production SQL, integrating cloud data platforms, and modernizing reporting and visualization programs.
Location: Hybrid — Seattle, WA, US
Salary: $87,500.00–$145,500.00 annual
Company
hirify.global is a retail company providing merchandise and customer services through its business operations.
What you will do
Own the intake, management, integrity, flow, and accuracy of data used by the Inventory Audit Programs team.
Champion data needs and priorities with cross-functional business and data partners across hirify.global.
Create data narratives, trends, insights, reports, dashboards, and KPIs that support business improvement and strategic decisions.
Support data design, program initiatives, testing, and user acceptance testing.
Support business analysts with accurate and complete reporting and analysis.
Develop and maintain data usage guidelines and support modernization of reporting and data visualization programs.
Requirements
Bachelor’s degree in Data Science, Analytics, Statistics, Computer Science, or a related quantitative field.
3–5 years of relevant experience in data management, analysis, and reporting.
3+ years of SQL experience, including performant, maintainable queries and production code optimization.
Advanced experience with data visualization, Tableau or Power BI, interactive dashboards, and user experience principles.
Strong statistical expertise, including descriptive and inferential methods, hypothesis testing, correlation analysis, and confidence intervals.
Experience integrating and synthesizing multiple data sources, data wrangling, and data transformation.
Hands-on experience with cloud-based data platforms and scalable data solutions, including AWS or GCP.
Experience developing and maintaining ETL pipelines, workflow orchestration, and data quality assurance.
Advanced programming experience with Python or R for workflow automation and complex analysis.
Experience defining and evaluating KPIs, modeling, and performance metrics.
Expertise in clean, version-controlled code, Git, code review, modularization, and documentation.
Applied skills in SQL, AWS Analytics and Database, Teradata, Tableau Server, Alteryx, or similar tools.
Nice to have
Experience supporting modernization of reporting and data visualization programs.
Experience translating ambiguous business problems into structured analytical approaches.
Strong understanding of data warehousing, query construction, and dimensional data modeling.
Comfort presenting to business stakeholders and leadership.
Strong operational business understanding, including the impact of business decisions on stakeholders and systems.
Culture & Benefits
Medical, vision, dental, retirement, and paid time away benefits.
Life insurance and disability insurance options.
401(k), PTO accruals, and holidays, subject to eligibility requirements.
Merchandise discount and employee assistance program resources.
Performance-based incentives or bonuses may be available.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →