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3 дня назад

Analytics Engineer, Forecasting & Revenue Intelligence

103 000 - 185 130$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle
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, Forecasting & Revenue Intelligence (SQL/dbt/Snowflake): Building tested, documented data models for sales forecasting, pipeline, targets, reporting, and revenue intelligence with an accent on Salesforce, subscription, billing, hierarchy, and historical data. Focus on modeling point-in-time reporting, reconciling data with Salesforce and Finance, monitoring data quality, and resolving trade-offs with business stakeholders.

Location: United States (remote); Central or Eastern time zone preferred. The role may require in-person onboarding or identity verification.

Salary: $103,000–$185,130 annual base salary, depending on experience and geographic location.

Company

hirify.global develops software that helps innovators design and create buildings, products, factories, vehicles, and media.

What you will do

  • Build and maintain dbt models on Snowflake using Salesforce, subscription, billing, hierarchy, and forecast data.
  • Define clear data grain, stable keys, shared metric definitions, and reproducible historical records.
  • Maintain account, territory, seller, and sales hierarchy mappings as the organization changes.
  • Build datasets for weekly forecast packs, business reviews, and leadership dashboards.
  • Reconcile data with Salesforce and Finance, investigate discrepancies, and resolve data quality issues.
  • Add freshness, completeness, and accuracy tests and work through version control, code review, and continuous integration.

Requirements

  • Bachelor’s degree in a technical or quantitative field, or equivalent practical experience.
  • 3+ years of experience in analytics engineering, data engineering, or BI development.
  • Production experience with dbt, including testing and documentation.
  • Strong SQL skills, including window functions and incremental models, with experience in Snowflake or a similar cloud data warehouse.
  • Working knowledge of the Salesforce data model, including accounts, opportunities, line items, and ownership.
  • Ability to explain data problems to non-technical stakeholders and reach decisions collaboratively.

Nice to have

  • Experience with dbt snapshots or slowly changing dimensions for point-in-time reporting.
  • Python for transformation or orchestration, with Airflow or a similar tool.
  • Experience with enterprise software or SaaS commercial data, including subscriptions, renewals, territories, and partner routes to market.
  • Experience with Clari, Gong, Aviso, Power BI, Tableau, or Sigma.
  • Experience as an early hire on a new data team.

Culture & Benefits

  • Health, financial, and wellness benefits for U.S.-based employees.
  • Paid time away and other everyday wellness support.
  • Annual cash bonuses, stock grants, and additional compensation may be available depending on role and offer.
  • Inclusive workplace focused on belonging and equal employment opportunity.
  • Potential in-person onboarding and identity verification.

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