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9 часов назад

Analytics Engineer

90 000 - 120 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior/lead
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
Analytics Engineer (SQL/Data Modeling): Defining and maintaining business metrics, data models, dashboards, and reporting for sales, membership, revenue, and operations with an accent on SQL, data integrity, and cross-functional analytics. Focus on building modern data-stack models with Snowflake, Airflow, and dbt, debugging core KPIs, and enabling reliable self-serve decision-making.

Location: New York, NY, United States of America

Base pay: $90,000–$120,000 annually, plus role-specific incentive compensation.

Company

hirify.global provides flexible workspace solutions for businesses in more than 37 countries.

What you will do

  • Define and develop business metrics for sales, membership, revenue, and operational initiatives.
  • Build and maintain data models, KPI logic, dashboards, and reports supporting strategic decisions.
  • Partner with technology, sales, finance, operations, and other cross-functional stakeholders.
  • Act as a technical and business subject matter expert for data-driven decision-making.
  • Identify and debug KPI and data-integrity issues while establishing a single source of truth.

Requirements

  • 5+ years of experience working with data in an analytical capacity.
  • Advanced ability to write and interpret complex SQL queries.
  • Experience building dashboards with data visualization tools such as Tableau or Power BI.
  • Knowledge of databases, data structures, and data modeling with modern tools such as Snowflake, Airflow, or dbt.
  • Working knowledge of Python, R, or another scripting language.
  • Ability to work autonomously with cross-functional stakeholders and manage ambiguous business needs.

Nice to have

  • Experience with CRM data, Salesforce, HubSpot, or sales performance metrics.
  • Experience with financial data, Git, CI/CD workflows, AWS, or GCP.
  • Experience in sales-focused roles, analytics consulting, or a growth-stage company.
  • Experience designing semantic models for LLM-driven self-serve analytics agents.

Culture & Benefits

  • Full-time employment with comprehensive healthcare benefits.
  • 20 days of paid time off, approximately 13 paid holidays, and 80 hours of paid sick time annually.
  • 16 weeks of paid parental leave.
  • 401(k) plan, life insurance, and AD&D insurance.
  • Collaborative environment with employee community groups and cross-functional projects.

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