Sales Analytics Engineer
Вакансия напрямую с сайта из расширенного списка "глобальных компаний для русскоязычных специалистов" - туда входят компании с восточно-европейскими корнями.
Обычно нужен английский ~B2 и локация вне РФ/РБ (и/или ИП). Может требовать VPN для доступа
Описание вакансии
is a leading online visibility management SaaS platform that enables businesses globally to run search engine optimization, pay-per-click, content, social media and competitive research campaigns.
Overview
As Sales Analytics Engineer, you will engage with key decision-makers and contribute to the growth of by enabling efficient, trustworthy access to core datasets and models for RevOps analysts. You will partner with Central BI and Engineering to align on data architecture and build performant data resources that support advanced analytics across sales and marketing operations.
What you will do
- Develop and maintain reliable, scalable data pipelines using DBT, SQL, and cloud-native tools (primarily GCP).
- Serve as the technical point of contact for RevOps analysts, enabling access to core datasets and models.
- Partner with Central BI and Engineering to align on data architecture and platform improvements.
- Build and optimize governed, performant data resources that support advanced analytics.
- Architect and implement revenue data models and attribution models.
- Support full-funnel forecasting models and integrate external data sources via APIs and automation workflows.
Requirements
- 5+ years of experience in BI Engineering, Data Engineering, or technical analytics roles.
- Strong proficiency in SQL and DBT with experience building transformation layers.
- Solid Python skills for scripting, data pipelines, and automation.
- Experience working in cloud data platforms, preferably GCP (BigQuery, Cloud Functions, Composer, etc.).
- Comfortable working with REST APIs and integrating external data sources.
- Understanding of AI/ML fundamentals.
Nice to have
- Bachelor’s degree in a technical field.
- Experience in or adjacent to Revenue Operations, SalesOps, or MarketingOps.
- Familiarity with GTM funnel metrics and performance attribution.
- Experience working with BI platforms (e.g., Tableau) from a data modeling and enablement perspective.
- Exposure to AI tooling or ML-based analytics.
Culture & Benefits
- Flexible working hours and unlimited PTO.
- Flexi Benefit for your hobby and Employee Support Program.
- Meals, snacks, and drinks at the office.
- Corporate events and teambuilding.
- Training, courses, and conferences.