Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
ЗП не указанаразвернуть
На похожих ролях по рынку
$108к$129кмедиана$145к
49 в выборке
81
Хорошая вакансия
развернуть
Обязанности четко описаны, а задачи связаны с корпоративной BI-аналитикой и актуальными инструментами Microsoft. При этом работа только в офисе и фокус преимущественно на Power BI могут ограничить гибкость и разнообразие задач.
Только офис
Актуальные BI-инструменты
Четкие обязанности
?Промышленная отрасль
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Sr Data Visualization Analyst (Power BI): Designing and maintaining enterprise dashboards, scorecards, semantic models, and reporting solutions with an accent on DAX, Power Query, data governance, and executive analytics. Focus on optimizing large-scale reporting environments, implementing row-level security, translating business requirements into KPI solutions, and enabling AI-assisted analytics.
Location: The Woodlands, Texas, United States
Company
hirify.global delivers integrated storage and asset-management solutions for tanks, terminals, storage systems, and facility operations across the asset lifecycle.
What you will do
Design, develop, and maintain interactive Power BI dashboards, reports, scorecards, executive visualizations, semantic models, datasets, dataflows, and complex DAX measures.
Optimize reporting solutions for usability, performance, scalability, consistent definitions, branding, and user adoption.
Implement row-level security, workspace security models, Power BI Service administration, and report deployment processes.
Partner with business leaders, data engineering teams, data stewards, and project stakeholders to define KPIs, metrics, requirements, and analytics opportunities.
Support data governance, data quality, privacy, reporting standards, self-service analytics, and continuous improvement of reporting automation.
Train and support end users, create documentation, mentor business users, and troubleshoot reporting and data issues.
Requirements
Bachelor’s degree in Information Systems, Information Technology, Data Science, Computer Science, Business Analytics, Engineering, Mathematics, or a related discipline.
5–10 years of experience developing Power BI dashboards and enterprise reporting solutions.
Experience with data visualization, business intelligence, analytics platforms, large datasets, and relational databases.
Strong experience with Power BI Desktop, Power BI Service, DAX, and Power Query.
Experience writing and optimizing SQL queries, developing KPI-based dashboards, and producing executive reporting.
Experience gathering, translating, documenting, and validating business requirements into reporting solutions.
Experience working in a structured project environment.
Strong analytical, problem-solving, organizational, communication, presentation, and time-management skills, including the ability to explain technical concepts to non-technical audiences and manage multiple priorities.
Nice to have
Experience with Microsoft Fabric; Azure Data Factory, Azure Synapse, Databricks, or similar cloud analytics platforms.
Experience supporting enterprise data governance initiatives.
Experience with AI-enabled reporting, predictive analytics, or machine learning outputs.
Experience in Engineering, Manufacturing, and/or Construction industries.
Microsoft Power BI, Fabric, Azure, or Certified Business Intelligence Professional certifications.
Culture & Benefits
Collaborate with Global IT, global business and functional leads, project management, data engineering teams, data stewards, and business owners.
Support data-driven decision-making and self-service analytics across the organization.
Work within enterprise data governance, security, privacy, reporting, and data-quality standards.
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 →