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4 дня назад

Sr. Analyst Operations Technology

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
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TL;DR
Sr. Analyst Operations Technology (Fleet Modernization/Analytics): Driving fleet modernization projects by developing business technology solutions, defining reporting metrics, and analyzing operational data with an accent on SQL-based reporting, workflow modeling, and scalable system integration. Focus on building technical flow diagrams, evaluating performance trends, reporting project KPIs, and coordinating implementation with IT architecture and development teams.

Location: Phoenix, AZ, USA; hybrid schedule with onsite presence four days per week and one remote day per week

Company

hirify.global provides recycling, waste, environmental, and sustainability services across North America.

What you will do

  • Drive fleet modernization projects by translating business processes into scalable technology solutions.
  • Partner with IT management, architecture, development, and project leads to ensure solutions meet business requirements and deployment timelines.
  • Create process flow diagrams, technical flow diagrams, wireframes, prototypes, and integration guidance.
  • Define reporting metrics, source-data calculations, report layouts, technical specifications, and test scripts.
  • Use SQL and other analytical tools to extract data, build reports, evaluate performance trends, and recommend process improvements.
  • Report project KPIs to leadership and maintain data systems, reporting processes, and documentation.

Requirements

  • At least five years of experience in a business or technical analysis role.
  • At least three years of project management experience.
  • Experience with business intelligence and reporting tools such as Power BI, Qlik, or Tableau.
  • Experience in workflow modeling, data modeling, and process engineering.
  • Ability to extract and analyze data from large data warehouses using SQL, SAS, or advanced Excel.
  • Experience with SQL, Python, and/or R scripting, plus familiarity with AWS, Azure, and/or GCP.

Culture & Benefits

  • Medical, dental, and vision coverage.
  • Health care and dependent care spending accounts.
  • Disability, life, and accidental death and dismemberment insurance.
  • Retirement plan with company match and employee stock purchase plan.
  • Paid time off, employee discounts, and an Employee and Family Assistance Program.
  • This position is not eligible for visa sponsorship.

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