Senior FinOps Data Engineer — Cost Analytics & Dashboards

Zyngacareers; Austin (TX); On-site; USD 84,973 - 120,634; Full time

Benefits offered by this job

Medical, dental, vision

Paid holidays

Paid vacation 15–25 days

Sick days

Parental leave

Employee stock purchase program

Commuter benefits

Job summary

Zynga in Ontario seeks a finance‑oriented FinOps analyst to build data models, dashboards, and cost insights for technology spend. You will lead internal cost allocations, collaborate with FinOps engineers, and deliver dashboards and data visualizations that empower teams to optimize spending.

The role emphasizes data quality, ingestion pipelines, and partnering with senior stakeholders, including the C‑suite, to forecast costs and drive data‑driven decisions across the company.

Qualifications

• B.S. in a quantitative field or equivalent experience.
• 8+ years in SQL, data warehouses and data visualization.
• Proficient Python for data cleaning and wrangling with pandas/NumPy.

Responsibilities

• Lead cost allocations and internal technology spend analytics.
• Design data models and analytics with FinOps software engineers.
• Create and iterate user-facing dashboards and visualizations.
• Ingest and normalize data to support dashboards and QA data quality.
• Collaborate with Finance and senior stakeholders on forecasts.
• Advise on cost analyses and optimization across Zynga.

Skills

Python

SQL

Data wrangling

Tableau

Data analysis

Stakeholder communication

Education

B.S. in Computer Science, Math, Statistics, Engineering

Tools

AWS

Splunk

Datadog

Job description

Zynga in Ontario seeks a finance‑oriented FinOps analyst to build data models, dashboards, and cost insights for technology spend. You will lead internal cost allocations, collaborate with FinOps engineers, and deliver dashboards and data visualizations that empower teams to optimize spending.

The role emphasizes data quality, ingestion pipelines, and partnering with senior stakeholders, including the C‑suite, to forecast costs and drive data‑driven decisions across the company.