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2 дня назад

Senior Business Data Analyst

Формат работы
remote (только Philippines)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Philippines
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 Business Data Analyst: Performing end-to-end data extraction, transformation, and analytics to support decision-making with an accent on data governance, quality assurance, and pipeline automation. Focus on building predictive algorithms, developing complex dashboards, and communicating actionable insights to executive stakeholders.

Location: Must be based in Manila

Company

hirify.global is a global provider of customer experience technology and services.

What you will do

  • Perform end-to-end ETL/ELT processes to prepare data for reporting and analytics.
  • Develop and automate data pipelines while ensuring data quality and governance standards.
  • Create dashboards and reporting frameworks to support business decision-making.
  • Build predictive and prescriptive algorithms using big data and advanced statistical methods.
  • Partner with engineering teams to enforce data lineage, definitions, and business rules.
  • Communicate complex technical insights to both technical and non-technical stakeholders.

Requirements

  • 5+ years of experience in business or data analytics roles.
  • Advanced SQL skills for data analysis, validation, and complex dataset management.
  • Experience with modern data platforms such as Databricks and cloud environments (Azure, AWS, or GCP).
  • Proficiency in BI tools like Power BI or Tableau.
  • Proven experience leading analytics delivery within Agile environments.
  • Strong understanding of data governance, quality monitoring, and metadata management.

Nice to have

  • Experience working within regulated industries such as healthcare or finance.

Culture & Benefits

  • Full-time employment with a focus on cross-functional collaboration.
  • Opportunity to work with large-scale, complex datasets in a global environment.
  • Engagement in Agile-driven projects using industry-standard tools like Jira and Confluence.

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