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2 дня назад

Senior BI and Data Analyst (Power BI)

Формат работы
remote (только USA)
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 BI and Data Analyst (Power BI): Responsible for the end-to-end delivery of high-impact analytics, from data cleaning and ETL automation to designing intuitive Power BI dashboards, with an accent on turning fragmented, unstructured data into a standardized "single source of truth." Focus on designing, building, and maintaining high-performance Power BI dashboards and developing automated data pipelines to eliminate manual reporting.

Location: Preference for hybrid in Pittsburgh (US) or fully remote from Eastern or Central US time zones.

Company

hirify.global is a global production ecosystem empowering content creators and rights holders to tell their stories through technology solutions for live production, live events, and virtual production.

What you will do

  • Design, build, and maintain high-performance Power BI dashboards for global stakeholders.
  • Perform advanced data cleansing, transformation, and ETL automation using Power Query.
  • Translate business objectives into clearly defined, reliable KPIs and metrics.
  • Develop and optimize automated data pipelines to improve data accuracy and efficiency.
  • Conduct thorough data validation, QA, and UAT for all BI outputs.
  • Partner with business stakeholders to gather requirements and deliver data storytelling.
  • Maintain technical documentation, including data dictionaries and process documentation.

Requirements

  • 5+ years of experience in Business Intelligence, data analysis, or analytics, with a strong portfolio of Power BI projects.
  • Advanced proficiency in Power BI, Power Query, and DAX, including complex measures and data models.
  • Expert-level Excel skills (advanced formulas, Power Pivot, and data modeling).
  • Working knowledge of SQL for querying and extracting data from relational databases.
  • Strong analytical mindset with exceptional attention to detail.
  • Ability to communicate technical concepts clearly to non-technical audiences.

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