Design and deliver executive-level dashboards that provide a clear window into our client's cloud spend and carbon emissions.
Wrangle and model complex datasets from cloud billing and sustainability sources, transforming raw logs into high-performance data structures.
Partner with FP&A and Cost Engineering Leadership to translate high-level business questions into intuitive, data-driven tools.
Build and refine data pipelines using DBT and BigQuery, ensuring their 'carbon and cost' intelligence is always accurate and ready to support the business.
Develop financial reporting models that bridge the gap between technical infrastructure usage and real-world budgetary impact.

A visualization specialist with a knack for making complex information digestible and visually compelling for senior stakeholders.
A skilled data wrangler who thrives on cleaning and structuring diverse datasets into efficient, reliable models.
Technically proficient with SQL, BigQuery, and DBT.
You’re highly capable in Tableau and can leverage Python to solve data processing challenges.
Experienced with financial metrics, understanding concepts like unit economics, amortization, or cloud-specific billing (GCP experience is a definite plus).
An analytical storyteller who can look at a dataset and understand how to highlight the trends that matter most to the business.
A proactive collaborator who enjoys working across engineering, finance, and product teams to get the job done.

Data Scientist

Key skills