Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль охватывает BI, пайплайны данных и бизнес-анализ в крупной розничной компании, но список инструментов выглядит устаревшим, а инженерные задачи описаны не вполне четко.
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Устаревший инструментарийШирокий круг задачКрупный бизнес
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Analytics Engineer (Business Intelligence): Building data pipelines, self-service BI reports, cubes, and dashboards that improve customer insight, operational performance, retention, revenue, and cost efficiency with an accent on data integrity, data modeling, ETL architecture, and large-scale analysis. Focus on designing distributed data infrastructure, developing maintainable BI solutions, and translating complex datasets into business and product insights.
Location: Remote anywhere; company location: Calabasas, California, USA. Travel up to 5%.
Salary: $104,400–$156,700 annually, plus an annual discretionary bonus.
Company
hirify.global is a national tool retailer founded in 1977, operating more than 1,600 stores across 48 states and offering over 6,000 tools and accessories.
What you will do
Partner with business and management teams to collect and analyze data and metrics that improve processes, profitability, customer insight, engagement, retention, revenue, and cost.
Formulate hypotheses and design research to improve key performance indicators.
Develop data architecture and integrity constraints with data infrastructure engineers for data collection pipelines and analytics infrastructure.
Design, create, deploy, support, and document self-service BI reports, cubes, dashboards, data flows, logical diagrams, and physical diagrams.
Manage and monitor Business Intelligence dashboards and support department initiatives.
Ensure data sources across multiple servers and platforms are accurate and complete.
Requirements
Bachelor of Science degree in Computer Science or Information Systems preferred.
At least 2 years of relevant experience in technology, analytics, or Business Intelligence.
Experience designing, developing, deploying, and enhancing high-visibility computer programs, analytics, dashboards, and reports.
Ability to rapidly prototype and deploy stable, maintainable BI solutions.
Understanding of distributed computing, data warehousing, data mining, business analytics, and software development.
Experience with modern data analytics infrastructure such as MS SQL Server, SSIS, SSRS, IBM Cognos, SPSS, TM1, Netezza, Oracle, OBIEE, or Financials.
Knowledge of data structures, analysis, replication, and distributed or relational data and database mapping.
Experience working with very large datasets and performing product- and business-level analysis.
Hands-on experience with SQL, data warehouses, RDBMS, and common BI tools and techniques, plus a strong background in computer science, statistics, and mathematics.
Analytical thinking, strong data interpretation skills, collaboration, and the ability to work effectively in a fast-paced small-team environment.
Ability to work safely in a general office environment, sit for extended periods, move around an office, and follow standard operating procedures and good manufacturing practices.
Culture & Benefits
Medical, dental, vision, life insurance, short-term disability, and long-term disability benefits are available for Associates and their families.
Eligible Associates can enroll in the company 401(k) plan.
Paid time off, including floating and paid holidays, accrues up to 236 hours per year.
Paid sick time is available up to 80 hours per year unless otherwise required by law.
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