3 дня назад
Analytics Engineer, Forecasting & Revenue Intelligence
103 000 - 185 130$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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