Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Мало
$157к-204к/год
$160к$190кмедиана$210к
По похожим ролям (50) ~ $190к/год
На СНГ рынке: $3.7к/мес ($3к - $4.3к)
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Company hidden предлагает понятную senior-роль в аналитической инженерии с современными задачами на стыке данных и AI и прозрачной оплатой, но зарплата ниже медианы рынка для похожих позиций.
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Ниже рынкаСовременный стекПонятные задачиСильный работодательГибкий формат
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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