FinOps & Analytics Engineer - AI-Driven Cost & Usage Equity

Intapp; United States; Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Home-office stipend

Equity

Paid leave

Education reimbursement

Job summary

Intapp is building the data foundation and AI-assisted analytics to help engineering, product, and finance teams understand cloud costs and product usage. The work begins with FinOps data and expands to other domains, combining data modeling, pipeline development, reporting tools, and dashboards.

Role involves modeling cloud spend, building pipelines to normalize data from diverse sources, and developing Python-based AI reporting tools.

Qualifications

• Strong SQL skills with joins, aggregations, and window functions.
• Python for data transformation and tooling.
• Experience with analytical or columnar databases.
• Hands-on experience with LLM APIs and tool-use patterns.
• Ability to translate stakeholder requirements into data models and queries.

Responsibilities

• Model cloud spend, allocations, and unit economics.
• Build pipelines to normalize billing, SaaS, telemetry, and internal data.
• Develop Python-based AI reporting tools for spend, anomalies, and usage.
• Add prompt and output checks for missing data and unclear time periods.
• Create dashboards for cost allocation, anomalies, and unit costs.
• Collaborate with SMEs and product leaders to turn questions into data models and queries.

Skills

SQL

Python

Data modeling

ETL

Education

Bachelor's degree in CS/SE/Math

Tools

LLM API

Snowflake

BigQuery

Pandas

Job description

Intapp is building the data foundation and AI-assisted analytics to help engineering, product, and finance teams understand cloud costs and product usage. The work begins with FinOps data and expands to other domains, combining data modeling, pipeline development, reporting tools, and dashboards.

Role involves modeling cloud spend, building pipelines to normalize data from diverse sources, and developing Python-based AI reporting tools.