Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли понятный фокус на BI, высокая самостоятельность и тесная работа с разными командами, но требования к senior-уровню в описании расходятся.
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Современный стек данных
?Широкая зона ответственности
Поддержка развития
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior BI Engineer (Business Intelligence): Building scalable data models, dashboards, reports, and pipelines for a digital marketplace for used vehicles with an accent on SQL, data warehousing, visualization, and cloud-based data architecture. Focus on transforming large datasets, designing experiments and predictive models, improving analytical infrastructure, and enabling data-driven decisions across product, sales, and operations.
Location: Remote, based in the United States; the role is associated with Carmel, Indiana
Company
hirify.global is a technology, data, and innovation company building a digital marketplace for wholesale used vehicles and providing actionable business insights.
What you will do
Own the Business Intelligence domain, surface insights, solve problems, and support data-driven decisions.
Partner with Product, Sales, Operations, Data Engineering, and senior leadership to ensure data quality, availability, and effective data usage.
Transform large datasets with SQL and scripting languages to produce business insights.
Design, execute, and analyze A/B tests and other experiments; build predictive models and trend analyses using data science fundamentals.
Develop scalable data models, dashboards, and reports using tools such as Domo, while improving data pipelines and analytical infrastructure.
Mentor colleagues and strengthen analytics capabilities and a data-driven culture.
Requirements
3–5+ years of experience in Data Warehousing and Business Intelligence.
Experience using Looker or Domo.
Advanced SQL skills and experience with relational databases such as Snowflake, Redshift, Oracle, or SQL Server.
Strong experience with ETL/ELT development and data pipeline management.
Proficiency in a scripting language such as Python, JavaScript, Java, or Scala.
Strong foundation in data modeling, governance, and structuring datasets for long-term use.
Expertise in data visualization and dashboarding; Domo is preferred.
Advanced spreadsheet skills in Excel or Google Sheets.
Self-starter with strong problem-solving and strategic thinking capabilities.
Nice to have
Understanding of cloud-based data architectures and security best practices.
Experience leading or guiding small teams.
Experience creating and implementing data governance strategies.
Background in data science or machine learning applications.
Familiarity with API integrations and automation techniques.
Culture & Benefits
Remote full-time role within a publicly traded, global organization.
Medical, dental, and vision benefits with employer HSA contributions and FSA options in the US.
Immediately vested 401K with company match in the US, or RRSP with company match in Canada.
Paid vacation, personal, sick, maternity, and paternity leave, with US-specific leave availability.
Employer-paid disability, life insurance, AD&D, Employee Assistance Program, volunteer day, and tuition reimbursement.
Opportunities for internal promotion, diverse career paths, knowledge sharing, and professional advancement.
Hiring process
Apply through the job posting.
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