Build and own the analytical framework used by leadership to evaluate B2B trade-offs

Define a long‐term measurement framework identifying structural growth levers

Lead retention and cohort analyses for B2B leadership

Turn analytical findings into pricing, product, or lifecycle recommendations

Own impact modeling and scenario analysis for major B2B product initiatives

Support quarterly and annual planning through forecasting, trade‐off analysis, and risk assessment

Own B2B metric definitions and governance

Resolve conflicting metric definitions and maintain a single source of truth

Design the experimentation and analytics agenda

Define testing approaches and success measures

Analyze experiments to determine initiative impact

Partner with Directors and VPs across product, operations, and engineering to shape B2B strategy

Mentor senior analysts and extend analytical work to company‐level questions when needed

Requirements

Specific decisions must have occurred because of your analysis, including pricing, resourcing, or roadmap decisions

Experience owning a metric or strategic framework required by other teams

Experience resolving conflicts between teams over metric definitions

Understanding of subscription or marketplace economics

Ability to build an LTV or cohort model from scratch

Fluent, independent SQL and Python skills

Experience reviewing other analysts' code





Experience challenging stakeholder requests and reframing the right question

Experience building a forecast or scenario model used by a VP

Nice to have: background in B2B SaaS, enterprise, or account‐based business models

Nice to have: experience building or scaling an analytics function

Nice to have: experience with Tableau, Looker, or Power BI

Nice to have: Master's or PhD in a quantitative field

Core Competencies

Demonstrates expertise in building analytical frameworks and defining metrics for B2B strategies, with strong capabilities in SQL and Python for data analysis and modeling. Proven ability to lead retention analyses, resolve metric conflicts, and mentor analysts while supporting strategic decision-making.

Highest‐signal resume keywords

SQL

Python

B2B Metric Definitions

Cohort Model Development

Impact Modeling

ATS Optimization Keywords

Hard Skills

Analytical Framework Development

Retention Analysis

Forecasting

Scenario Analysis

Experimentation Design

Soft Skills

Stakeholder Management

Mentoring

Certifications & Qualifications

Master's Degree

PhD in Quantitative Field

Industry Keywords

B2B SaaS

Subscription Economics

Marketplace Economics

Account‐Based Business Models

Tools & Technologies

Tableau

Looker

Power BI

📌 Senior Data AnalystB (Barcelona)
🏢 Jobtailor
📍 Barcelona