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8 дней назад

Principal Sales Infrastructure Analyst, Analytics Engineering

156 600 - 204 450$
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
Principal Sales Infrastructure Analyst, Analytics Engineering (SQL/Python/AI): Building reliable sales data infrastructure, canonical datasets, ETL/ELT pipelines, and an AI context layer connecting go-to-market and finance systems with an accent on data quality, modeling, and cross-functional alignment. Focus on monitoring data drift across Salesforce, Oracle Fusion, Gainsight, and Databricks, investigating source-data issues, and scaling analytics access through robust data products.

Location: Remote in the Americas; listed locations include Austin and Salt Lake City, United States

Base pay: $129,978–$169,694 in Zone C, $140,940–$184,005 in Zone B, or $156,600–$204,450 in Zone A; additional benefits, bonuses, commissions, and equity may apply.

Company

hirify.global develops collaboration software and solutions for teams across different types of work.

What you will do

  • Design, build, and maintain data infrastructure for reliable, accessible analytical workflows.
  • Develop data products and an AI context layer that enables scalable analytics and safe data access.
  • Build canonical datasets and high-volume ETL/ELT pipelines using data lake and data warehousing concepts.
  • Partner with finance, data engineering, sales systems, and other cross-functional teams to identify data inconsistencies and improve source accuracy.
  • Perform sizing analyses, impact assessments, source-data investigations, and QA for infrastructure changes, launches, bug fixes, and feature releases.
  • Own core system data transformations and remove manual processes through automation and process improvements.

Requirements

  • 6+ years of experience in analytics engineering, data engineering, data science, business intelligence, or a similar field.
  • Expert proficiency in SQL and data modeling, including designing scalable and consistent data models.
  • Proficiency in a quantitative programming language, preferably Python.
  • Experience with BI tools such as Tableau and Looker and with self-service analytics.
  • Experience with CRM systems such as Salesforce or HubSpot and ERP systems such as Oracle or NetSuite.
  • Ability to structure complex problems, collaborate with senior stakeholders, and deliver reliable systems with measurable business impact.

Culture & Benefits

  • Flexible remote, office, or hybrid work options depending on location and legal-entity availability.
  • Health and wellbeing resources.
  • Paid volunteer days and community support programs.
  • Potential benefits, bonuses, commissions, and equity in addition to base pay.
  • Employment is subject to identity verification in accordance with local law.

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