FinOps, Product Analytics Engineer

🔥 5 minutes ago

🌐 Ireland, United Kingdom – Remote

🇮🇪 Ireland – Remote 🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 36 days.
• No salary listed.

Apply Now

Find Similar Remote Jobs

Intapp

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

⚖️ Legal

☁️ SaaS

💰 Private Equity Round on 2017-04

Consulting • Legal • SaaS

Intapp is a leading global provider of AI-powered cloud-based software solutions designed for professional and financial services firms. Their offering includes specialized solutions for industries such as accounting, consulting, investment banking, legal, private capital, and real estate. Intapp’s products help firms improve client relationships, optimize operations, manage compliance, and support collaboration and deal management through solutions like Intapp DealCloud, Compliance, and employee compliance management. With a focus on data security and seamless integration via Microsoft Azure, Intapp serves over 2,600 client firms worldwide, including top law firms and investment banking institutions, helping them leverage automation and data intelligence to drive growth.

📋 Description

• Design and maintain analytical data models for FinOps data, including cloud cost, cost allocation, anomaly signals, infrastructure usage, and unit economics. • Build ingestion and normalization pipelines for AWS and Azure billing, SaaS platforms, product telemetry, and internal systems. • Develop AI-powered reporting skills in Python using MCP that return structured answers to stakeholder questions. • Implement prompt engineering and output validation layers for trustworthy AI-generated answers. • Build and maintain Metabase dashboards covering FinOps metrics and additional domains. • Collaborate with FinOps experts, product managers, and domain leads to translate requirements into data models and query patterns. • Help evaluate and contribute to architecture decisions for new data domains and source systems. • Document data models, AI skill patterns, and pipeline logic. • Improve data quality, query performance, and AI output reliability as the platform scales.

🎯 Requirements

• Strong SQL skills — complex aggregations, window functions, joins across large datasets, and the instinct to investigate when a number looks wrong before shipping. • Python proficiency — clean, maintainable scripts for data transformation, normalization, and tooling (not just notebooks). • Experience with analytical or columnar databases — such as ClickHouse, BigQuery, Redshift, DuckDB, or similar. • Demonstrated experience building with an LLM API (Anthropic, OpenAI, or similar) — understanding tool use, structured outputs, and reliable AI responses. • Ability to work from well-defined requirements and translate a subject matter expert’s question into an accurate data model and query. • Comfort in a greenfield environment and ability to make sound architectural decisions when patterns are still being established. • Familiarity with MCP (Model Context Protocol) or similar function-calling / tool-use patterns for LLMs (preferred).

🏖️ Benefits

• Attractive compensation – including competitive base pay and performance-based variable pay. • Equity/Stock in Intapp. • Opportunity to travel to other development centers for product training and cross-site collaboration. • One-time home office stipend. • Generous paid parental leave (including adoptive leave), marriage leave, bereavement leave, carer's leave, and paid sick days. • Reimbursement for training towards continuing education.

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume