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1 день назад

Senior Data Informatics Analyst (Power BI)

92 200 - 115 300$
Формат работы
onsite
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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Описание вакансии

Текст:
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TL;DR
Senior Data Informatics Analyst (Power BI): Building and maintaining interactive Power BI dashboards, semantic data models, ETL workflows, and automated data pipelines with an accent on DAX, Power Query, Python, and SQL. Focus on integrating data from multiple sources, optimizing query and dashboard performance, and translating cross-functional business requirements into secure, actionable KPIs.

Location: East Syracuse, New York, United States; onsite role.

Salary: $92,200–$115,300 per year.

Company

hirify.global is a defense and security company developing advanced technology and systems for the U.S. Armed Forces, the Federal Aviation Administration, and commercial and international partners.

What you will do

  • Build, publish, and maintain interactive Power BI reports, scorecards, and dashboards.
  • Design and optimize semantic data models, data flows, and relational schemas using Power Query and DAX.
  • Write Python scripts for data cleaning, preprocessing, API integrations, and task automation.
  • Develop and optimize complex SQL queries for relational databases and cloud data warehouses.
  • Partner with Sales, Operations, Finance, and other business teams to define requirements and translate operational needs into KPIs.
  • Troubleshoot refresh issues, optimize DAX performance, and maintain data accuracy and security compliance.

Requirements

  • Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related quantitative field plus 8 or more years of relevant experience, or a master’s degree plus 6 or more years.
  • At least 3 years of hands-on experience developing Power BI dashboards, data models, and published reports.
  • At least 2 years of experience using Python for data analysis, automation, and scripting, including libraries such as pandas, numpy, or requests.
  • Strong SQL skills and experience with relational databases such as PostgreSQL, SQL Server, or Snowflake.
  • Deep understanding of DAX and data transformation workflows.
  • Ability to convert large volumes of raw data into clear, actionable business insights.
  • Must be a U.S. citizen. Eligibility for a government security investigation and access to classified information is required.
  • Must pass a pre-employment drug screen.

Culture & Benefits

  • Professional growth opportunities, work-life balance, and a business-casual environment.
  • Medical, vision, and dental insurance for employees and dependents.
  • Paid time off, including 8 designated holidays.
  • 401(k) with employer contributions, tuition assistance, and student loan assistance.
  • Wellness and employee assistance resources, employee stock purchase opportunities, and short- and long-term disability coverage.

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