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1 день назад

Data Analyst

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Analyst (SQL/Python/BigQuery): Building scalable datasets, reports, and analytical solutions that enable data-driven decision-making across hirify.global with an accent on translating business questions into actionable analytics and ensuring data accuracy through reconciliation and validation. Focus on designing dashboards and analytical outputs, optimizing SQL and data pipelines, and supporting cross-functional initiatives across IT, Data, and Finance.

Location: Charlotte, NC (hybrid/office-based with remote office environment possible)

Company

hirify.global provides fast, reliable internet connections and customer experience, accelerating the upgrade from copper to fiber optic technologies.

What you will do

  • Partner with business stakeholders to define data requirements and translate business objectives into scalable analytical solutions.
  • Extract, integrate, validate, and analyze data from multiple internal and external sources to create trusted datasets.
  • Develop and optimize SQL queries, data pipelines, and analytical models using BigQuery and Python.
  • Design and maintain recurring and ad hoc reports, dashboards, and analytical outputs for executive-ready insights.
  • Validate data accuracy and integrity by reconciling results across systems and resolving data quality issues.
  • Support cross-functional initiatives and contribute to scalable datasets, feature stores, and reusable analytical assets.

Requirements

  • Bachelor’s degree in Computer Science, Business Analytics, Engineering, Mathematics, Statistics, Information Systems, or a related field.
  • Minimum 5 years of experience developing scalable datasets, reporting solutions, and analytical insights in a business environment.
  • Minimum 3 years of experience working with cloud-based data platforms, preferably Google Cloud Platform (GCP).
  • Experience with large-scale data warehouses, data lakes, or lakehouse environments.
  • Strong proficiency in SQL and Python, including experience with additional scripting/query languages as needed.
  • Advanced experience with Google BigQuery (or comparable cloud analytical databases) and strong understanding of relational data modeling, query optimization, and ETL/ELT concepts.

Culture & Benefits

  • Hybrid workforce with roles designated as remote, hybrid, office, or field-based depending on position and business needs.
  • Comprehensive benefits including medical, dental, vision, and life insurance, plus an employee assistance program.
  • 401K plan with company match and additional voluntary benefits.
  • Paid time off programs supporting overall wellness.
  • Inclusion and belonging are central values (“Being Real”).

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