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3 дня назад

Analytics Engineer/Data Analyst (Snowflake)

Формат работы
onsite
Тип работы
project
Грейд
middle
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

Analytics Engineer/Data Analyst (Snowflake/dbt): Building and maintaining scalable analytics data pipelines and transforming raw data into reliable datasets with an accent on data modeling and pipeline optimization. Focus on designing SQL-based transformations, developing Tableau dashboards, and ensuring high data quality across analytics workflows.

Location: Okemos, MI

Company

hirify.global provides data analytics and engineering services to help businesses build scalable data foundations.

What you will do

  • Design, build, and maintain scalable data models and analytics pipelines using Snowflake and dbt.
  • Develop, optimize, and maintain SQL-based transformations and reporting datasets.
  • Support and enhance Tableau dashboards, reports, and data sources.
  • Monitor, validate, and improve data quality across analytics workflows.
  • Collaborate with business stakeholders and technical teams to translate requirements into scalable data solutions.
  • Create and maintain documentation for data models, business logic, and validation processes.

Requirements

  • Strong proficiency in SQL for data transformation, analysis, and reporting.
  • Hands-on experience with Snowflake and dbt.
  • Experience developing or supporting Tableau dashboards and reporting solutions.
  • Strong understanding of data modeling concepts and analytics data architecture.
  • Experience with data validation, quality assurance, and troubleshooting data issues.
  • Ability to work independently and manage deliverables in a contract environment.

Nice to have

  • Experience with modern data stack tools and end-to-end analytics workflows.
  • Familiarity with ELT/ETL processes and data warehousing best practices.
  • Experience working with cross-functional business and technical teams.
  • Exposure to cloud-based analytics ecosystems and reporting platforms.

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