Analytics Engineer — Remote & Stock Options

Finom

United States

Hybride

USD 120 000 - 150 000

Plein temps

Il y a 7 jours
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Avantages offerts par ce poste

Stock options
Development opportunities
Work & Swim Program: Cyprus

Résumé du poste

HireHi is seeking a data-minded analytics engineer to own the Operations data model, turning raw operational events into trustworthy data products in the data warehouse. You will collaborate with Operations to answer questions and improve self-service reporting.

The role emphasizes precision, end-to-end ownership of sub-domain metrics within six months, and opportunities to work remotely or in a Europe-wide hybrid setup with AI-assisted workflows.

Qualifications

  • Experience as an analytics engineer or senior analyst on data modeling on modern data platforms (Databricks, Spark, dbt).
  • Excellent SQL skills; ability to use Python when SQL is not enough.
  • Ability to gather requirements from operational stakeholders and translate into clear metrics.
  • Prioritize precision over speed when conflict arises.
  • Ability to reconcile differing stakeholder definitions of the same metric.
  • Understand processes and identify automation to remove manual work; advocate for change.
  • High autonomy and self-direction; AI-assisted workflows are part of regular work.

Responsabilités

  • Own the Operations data model, including reconciliation, treasury, payments, lifecycle, and onboarding; turn raw events into trustworthy data products in the data warehouse.
  • Partner with Operations stakeholders for ad hoc requests and recurring reporting; move repeatable questions toward self-service.
  • Examine metrics processes to identify manual effort and fragile handoffs; determine tools to address them.
  • Define and maintain key metrics for reconciliation accuracy, treasury positions, payment success/failure rates, and onboarding conversion.
  • Participate in data quality and governance practices for the domain.
  • Propose and help implement process and product changes from operational insights.
  • Learn the Operations domain, stakeholders, and deliver an initial scoped fix or data product within the first month.
  • Own at least one Operations sub-domain's metrics end to end within the first three months; contribute to TRI discussions.

Connaissances

SQL
Python
Data modeling
Stakeholder comms
Autonomy
AI workflows

Outils

Databricks
Spark
dbt

Description du poste

HireHi is seeking a data-minded analytics engineer to own the Operations data model, turning raw operational events into trustworthy data products in the data warehouse. You will collaborate with Operations to answer questions and improve self-service reporting.

The role emphasizes precision, end-to-end ownership of sub-domain metrics within six months, and opportunities to work remotely or in a Europe-wide hybrid setup with AI-assisted workflows.

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