FinOps & Product Analytics Engineer

Intapp

. Design and maintain analytical data models, including schemas, views, and aggregations, for FinOps data and future domains .

Posted 11/11/2026full-timeLisbon • PortugalMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in designing and maintaining analytical data models and building ingestion pipelines for cloud environments. Expertise in Python for AI-powered reporting and strong SQL skills for complex data manipulation and analysis.

Highest-signal resume keywords

Strong SQL SkillsPython ProficiencyExperience With Analytical DatabasesBuilding With LLM APIFamiliarity With MCP

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data ModelingData TransformationComplex AggregationsNormalizationAI ReportingPrompt EngineeringOutput ValidationQuery Performance OptimizationTooling DevelopmentArchitectural Decision Making

Soft Skills

CollaborationProblem-SolvingAttention To Detail

Tools & Technologies

AWSAzureMetabaseClickHouseBigQueryRedshiftDuckDBMCPLLM APISaaS Platforms

Industry Keywords

FinOpsData QualityCost AnomaliesUsage TrendsChargebackShowbackGreenfield Environment

Tech Stack

Tools & technologies

Amazon RedshiftAWSAzureBigQueryPythonSQL

About the role

Key responsibilities & impact

Design and maintain analytical data models, including schemas, views, and aggregations, for FinOps data and future domains
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 to provide structured answers about cost anomalies, team-level spend, and usage trends
Implement prompt engineering and output validation layers for reliable AI-generated answers
Build and maintain Metabase dashboards covering showback, chargeback, anomaly signals, and unit costs
Collaborate with FinOps experts, product managers, and domain leads to translate requirements into accurate 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
Continuously improve data quality, query performance, and AI output reliability

Requirements

What you’ll need

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), including tool use and structured outputs
Ability to work from well-defined requirements and translate subject matter experts’ questions into accurate data models and queries
Comfort in a greenfield environment and ability to make sound architectural decisions while patterns are being established
Familiarity with MCP (Model Context Protocol) or similar function-calling/tool-use patterns for LLMs (preferred)

Benefits

Comp & perks

A state-of-the-art facility with a fully stocked kitchen – only a 5-minute walk to/from Gare do Oriente
A hybrid work system supporting agile and flexible hours
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
Meal allowance
Reimbursement for training towards continuing education