Назад
Company hidden
8 часов назад

Infrastructure & Capital Projects – Data Analyst III, ANS (AWS)

105 000 - 115 000$
Формат работы
remote (только USA)/hybrid/onsite
Тип работы
fulltime
Грейд
senior
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
Infrastructure & Capital Projects – Data Analyst III, ANS (AWS): Designing and maintaining scalable AWS data pipelines, ETL processes, dashboards, and reporting tools for capital project analytics with an accent on data engineering, visualization, and actionable business insights. Focus on migrating SAP HANA views to AWS tables, automating reporting workflows, and supporting complex program and project decisions through technical analysis.

Location: San Diego, CA, United States; hybrid work combining remote work with onsite time at a client location or hirify.global office.

Salary: $105,000–$115,000 per year.

Company

hirify.global Infrastructure & Capital Projects develops and delivers factories, grids, transit systems, and public infrastructure through project expertise, digital innovation, and AI.

What you will do

  • Design, build, and maintain scalable data pipelines on AWS for capital project reporting and analytics.
  • Execute ETL processes, assess client datasets, and present data in formats accessible to business stakeholders.
  • Analyze data and prepare technical reports and findings for program and project decision-making.
  • Develop reporting tools, dashboards, and automated data workflows.
  • Collaborate on AWS platform development, including migration of SAP HANA views to AWS tables.
  • Lead departmental data process initiatives and provide visualization support across cross-functional project teams.

Requirements

  • 5+ years of experience in data analytics, data engineering, or a related field.
  • Bachelor’s or master’s degree in business administration, information systems, communications, computer science, engineering, or equivalent experience.
  • Experience with AWS data engineering and development.
  • Experience with Python and SQL.
  • Experience designing, developing, and maintaining data pipelines.
  • Experience with Git or GitHub.

Nice to have

  • Experience with data management, ETL, data visualization, business intelligence, and reporting automation tools.
  • Experience leading analytics initiatives and supporting cross-functional teams with data-driven insights.
  • Ability to interpret trends and implement data-driven strategies.

Culture & Benefits

  • Flexible work arrangement combining remote and in-person collaboration.
  • Medical, dental, and vision coverage.
  • 401(k) with employer match, health savings and flexible spending accounts.
  • Paid time off, holidays, maternity and parental caregiver leave.
  • Life, disability, supplemental insurance, employee assistance, legal resources, and identity theft protection.

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 →