Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль описана четко, а стек актуальный, но замещение на время декрета ограничивает долгосрочную стабильность, а ИИ не играет заметной роли в повседневных задачах.
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Временная позицияАктуальный стекПонятные задачиИИ не в центре
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Текст:
Hirify AI/Оригинал
TL;DR
Data Analytics Engineer (AI) (SQL/Python/BigQuery): Defining marketing and revenue metrics, building acquisition and retention analyses, and maintaining production data pipelines with an accent on KPI design, cloud warehousing, and data quality. Focus on closing tracking gaps, orchestrating ETL/ELT workflows with Airflow, and ensuring reliable data for business stakeholders.
Location: Tel Aviv-Yafo, Tel Aviv District, Israel
Company
hirify.global develops FinanceOS, an AI operating system that unifies financial and operational data and provides finance teams with applications, workflows, and AI experiences.
What you will do
Translate business questions from Revenue leaders into metric definitions, KPIs, and measurement plans.
Build analyses and dashboards covering acquisition, conversion, activation, feature adoption, and retention.
Identify tracking gaps and collaborate with R&D to resolve them.
Maintain and extend production pipelines and data models using Airflow, Fivetran, ad platform connectors, and BigQuery transformations.
Monitor pipeline health, data freshness, and quality, resolving issues before they reach stakeholders.
Document metric definitions, models, and analytical decisions.
Requirements
3+ years of experience as an analytics engineer or data analyst, preferably in B2B SaaS.
Experience defining metrics and KPIs with business stakeholders and specifying and building dashboards to track them.
Experience working across business domains such as marketing, sales, product, or finance, with the ability to quickly learn new teams’ data and questions.
Proficiency in SQL and Python for data processing, analysis, and automation.
Data modeling and warehousing experience in a cloud data warehouse, ideally BigQuery on GCP.
Hands-on experience building and maintaining ETL/ELT pipelines from multiple sources, orchestrated with Apache Airflow.
Ownership of data observability, including pipeline health, freshness, and quality.
Git and version-controlled development experience, including branches, pull requests, and code review; familiarity with CI/CD, Docker, and Terraform.
Ability to work independently, scope loosely defined questions, and deliver without close technical supervision.
Nice to have
Marketing analytics experience, including attribution, funnel, and campaign performance.
Data modeling and pipeline experience with Fivetran, Funnel.io, or dbt.
Familiarity with HubSpot and Salesforce data structures.
Understanding of SaaS metrics such as ARR, churn, CAC, and LTV.
Experience with Looker Studio or another BI tool.
Culture & Benefits
Work directly with Marketing, Product, Sales, and Revenue leaders.
Report to the VP Growth as part of the Marketing Data team.
Work with a production marketing data model on BigQuery.
Maternity cover position.
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