Назад
Company hidden
1 день назад

Data Analytics Engineer

104 400 - 156 700$
Формат работы
remote (Global)
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
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.

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 →