Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
105к-115к CAD/год
74к CAD100к CADмедиана150к CAD
По похожим ролям (17) ~ 100к CAD/год
На СНГ рынке: $2.6к/мес ($2.2к - $4.4к)
78
Хорошая вакансия
развернуть
У роли понятный фокус на аналитике и BI, актуальные инструменты и полноценная ответственность за задачи, но в быстром клиентском формате возможны частые смены приоритетов.
Кликните для подробной информации
Высокий темп работыАктуальные инструментыПонятные задачиПоддержка развития
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Visualization & Analytics Specialist (Tableau/Looker): Building interactive dashboards, automated campaign reporting, and analytical solutions from complex datasets with an accent on visualization, data quality, and stakeholder-focused insights. Focus on querying and modeling data in BigQuery, applying exploratory and statistical analysis, and improving reporting efficiency through Python automation.
Location: Hybrid, 3 days per week in the downtown Toronto office, Canada
Salary: CAD 105,000–115,000 per year
Company
hirify.global is a fast-growing data and technology company partnering with Fortune 500 organizations on data platforms, cloud technologies, advanced analytics, artificial intelligence, and scalable software engineering solutions.
What you will do
Design, develop, and maintain internal- and external-facing dashboards using Tableau, Looker, and other analytical tools.
Build standardized End-of-Campaign, End-of-Quarter, and End-of-Year reporting solutions for campaign performance measurement.
Automate dashboards, reporting workflows, and data preparation processes to reduce manual effort and improve timely insight delivery.
Analyze large and complex datasets using exploratory data analysis and statistical techniques to identify trends, correlations, and actionable opportunities.
Use Google BigQuery and other data sources to extract, transform, organize, and model data for scalable reporting.
Manage deliverables end to end, including requirements gathering, validation, deployment, documentation, stakeholder communication, and ongoing maintenance.
Requirements
Hands-on experience developing dashboards, reports, and data visualizations with Tableau and/or Looker.
Strong proficiency in Google BigQuery, including SQL-based data extraction, querying, analysis, and data management.
Experience using Python and analytical or visualization libraries for data analysis, manipulation, and reporting automation.
Strong analytical and problem-solving skills, including the ability to work with large datasets and apply statistical techniques.
Experience with exploratory data analysis, identifying trends and correlations, and translating findings into actionable recommendations.
Knowledge of data profiling, cleansing, validation, reconciliation, data quality, and governance practices.
Experience gathering business requirements and translating them into scalable dashboards, data models, and reporting solutions.
Strong communication and stakeholder-management skills for explaining complex data and findings to technical and non-technical audiences.
A proactive, detail-oriented approach with ownership, the ability to manage multiple deliverables, and the ability to work independently and collaboratively with minimal supervision.
Commitment to documentation, knowledge sharing, and continuous improvement.
Culture & Benefits
Hybrid work with 3 days per week in the downtown Toronto office.
100% coverage for health, dental, and vision insurance for employees and dependents from day one.
Continuous learning opportunities and influence over technical direction.
Work in a lean, fast-paced, cross-functional environment supporting enterprise clients.
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 →