Назад
22 часа назад

Analytics Engineer (Finance)

132 000 - 173 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

Analytics Engineer (Finance): Building and maintaining data infrastructure for the Finance organization with an accent on SQL, Python, and Snowflake-based data modeling. Focus on architecting performant data models, automating reporting pipelines, and ensuring data quality to empower strategic decision-making.

Location: Must be based in or near Menlo Park, CA; requires in-person attendance at least 3 days per week.

Salary: $132,000 – $173,000

Company

Snowflake is a cloud-based data platform company powering the era of the agentic enterprise.

What you will do

  • Develop and maintain data infrastructure using SQL, Python, dbt, and Airflow.
  • Architect flexible, performant data models to support Finance reporting and analysis.
  • Perform data QA and implement automated testing procedures for data models.
  • Collaborate with IT and technical stakeholders to source data from business systems.
  • Contribute to data governance, security models, and data lineage strategies.
  • Create and maintain user-friendly documentation for key metrics and data models.

Requirements

  • 3+ years of experience as an analytics, data, or BI engineer.
  • Advanced SQL skills with experience in large-scale relational datasets.
  • Experience using Python for data parsing, structuring, and transformation.
  • Experience with MPP databases like Snowflake, Redshift, or BigQuery.
  • Ability to work in an agile development environment.
  • Strong communication skills and ability to work with diverse stakeholders.

Nice to have

  • Experience with ERP and Financial Planning tools.
  • Familiarity with CI/CD pipelines and cloud cost management (FOCUS Framework).
  • Experience supporting product finance stakeholders or cost attribution models.
  • Demonstrated experience with AWS, Azure, or Google Cloud.

Culture & Benefits

  • Opportunity to work in a fast-paced, innovative environment.
  • Competitive compensation package including equity and commission.
  • Focus on experimental mindset and AI-native problem solving.
  • Collaborative team culture emphasizing low-ego and high-impact work.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →