RevOps – Data & Strategy
FullEnrich · Paris, Île-de-France, France
- On site
- Full-time
- $100,000 / year
- Paris, Île-de-France, France
Job highlights
- Own and expand the data layer end-to-end.
- Build and maintain self-serve dashboards and ETL pipelines.
- Conduct strategic analyses on business and revenue drivers.
- Partner with teams to drive data-informed decisions.
- Utilize AI tools to enhance productivity and modeling.
About the role
About FullEnrich
FullEnrich started with a simple goal: build the best way to find the emails and phone numbers businesses need to reach the right people. Most enrichment tools rely on a single data source, which means patchy coverage and inconsistent quality. We took a different path: FullEnrich aggregates 20+ data providers into a single waterfall system, automatically querying each source until we find the best possible contact info. The result is the highest coverage on the market, with better data quality. Since then, we've expanded beyond core enrichment into personal email for recruiters, reverse email lookup for inbound lead qualification, list building, and native CRM integrations that keep your source of truth clean and fresh. Today, FullEnrich is profitable, trusted by 3,500+ customers including AWS, Shopify, Deel, and HubSpot.Why this role, why now
Until now, our data stack has been built and maintained by our CPO and RevOps alongside their primary responsibilities. We’ve built a strong and reliable foundation: a well-structured dbt project on BigQuery with clear conventions and automated testing, robust ETL and reverse ETL pipelines, product tracking flowing into the warehouse from day one, and self-serve dashboards in Basedash. The stack is already in a very good state, you won’t be fixing chaos or starting from scratch. You’ll be able to build on top of a clean and well-designed foundation from day one. This role sits between data infrastructure and business operations. You’ll start by owning the data layer end-to-end: making it even more robust, scalable, and actionable for the business. But the goal is not just to maintain the stack, it’s to turn it into a real leverage point for every team at FullEnrich (Sales, CS, Finance, Marketing). As you ramp up and build a deep understanding of the business, you’ll progressively take on more advanced analyses and become a key partner in helping teams make better, faster decisions. You’ll report directly to Simon (RevOps), who is actively working on the current data stack and will work closely with you from day one to help you prioritize, ramp up quickly, and expand your scope over time.What You'll Do
**Days 0–90 — Own the data layer**- Own and expand our dbt project: staging, intermediate, and mart layers, with clean conventions, automated testing, and documentation
- Build and maintain dashboards in Basedash that teams can use in self-service, no hand-holding required
- Manage ETL pipelines (Fivetran, Airbyte) and implement reverse ETL syncs (Segment) to push the right data into HubSpot, Intercom, and other operational tools
- Work AI-native: we write our entire dbt project in Cursor. You'll use AI as a multiplier to ship faster and model smarter!
- Work on strategic projects & analyses with Simon: provider cost & margin, pricing economics, retention drivers, PLG funnel (signup-to-paid, activation by cohort, credit consumption)
- Develop the models that let us understand the business deeply: Healthscore, MRR cohorts, funnel conversion, activation scoring
- Support business teams with high-impact analytical requests: Sales, CS, Finance, and Product all need answers that live in the warehouse
Who You Are
**Experience & skills:**- +2 years of experience in RevOps, Business Ops or Consulting
- You’ve worked on end-to-end analyses for demanding stakeholders : from framing the problem and challenging assumptions, to building the right data models, delivering insights, and iterating based on feedback.
- Strong SQL : you're comfortable in BigQuery or equivalent
- Solid understanding of SaaS metrics: ARR, churn, activation, unit economics
- Builder mindset: you'd rather automate a recurring task than do it twice
- Comfortable with ambiguity, autonomous, and rigorous about data quality
- You already use AI tools (Cursor, Claude, or similar) to work faster
- Background in an engineering school (strong technical & analytical foundation) or background in finance (comfort with unit economics, forecasting, margin analysis)
- You've used or are curious about dbt, you understand data modeling best practices
- Hands-on with ETL/reverse ETL tools (Segment, Fivetran, Airbyte, or similar)
How We Work Together
At FullEnrich, we’re a high-ownership, entrepreneurial team with deep experience across sales, marketing, and tech. We value:- Rapid execution
- Clear, business-focused outcomes
- Autonomy and trust — you’ll fully own your scope and execute your vision
Hiring Process
We keep it fast, transparent, and human:- First Call (45 min) with Simon — Quick mutual fit check
- Technical Case (1h) — A real-world data/ops problem. Show us how you think
- Final Interview with Founders — Culture and vision alignment
Key skills/competency
- RevOps
- Data Analysis
- Strategy
- SQL
- dbt
- ETL
- Reverse ETL
- SaaS Metrics
- Business Operations
- AI Tools
Skills & topics
- RevOps
- Data Strategy
- Business Operations
- SQL
- BigQuery
- dbt
- ETL
- Reverse ETL
- SaaS Metrics
- Business Intelligence
- Data Analysis
- Data Modeling
- AI Tools
- FullEnrich
How to get hired
- Tailor your resume: Highlight your experience with SQL, dbt, SaaS metrics, and end-to-end analysis. Quantify achievements in RevOps or Business Ops roles.
- Showcase your builder mindset: Emphasize your ability to automate tasks and your comfort with ambiguity and data quality rigor.
- Demonstrate AI tool proficiency: Mention any experience with AI tools like Cursor or Claude, as this is a key part of their workflow.
- Prepare for the technical case: Practice solving real-world data and operations problems, focusing on your problem-framing and data modeling approach.
- Research FullEnrich: Understand their unique data aggregation approach, customer base, and company values to align your answers during interviews.
Technical preparation
Master SQL for complex BigQuery queries.,Practice dbt modeling and data warehousing concepts.,Familiarize with Fivetran, Airbyte, and Segment.,Explore AI tools like Cursor for data tasks.
Behavioral questions
Describe a complex analysis you led end-to-end.,How do you ensure data quality in your work?,Give an example of automating a recurring task.,How do you handle ambiguity in projects?
Frequently asked questions
- What is the primary focus of the RevOps Data & Strategy role at FullEnrich?
- The primary focus of the RevOps Data & Strategy role at FullEnrich is to own and expand the company's data layer, turning it into a leverage point for all teams. This includes managing the dbt project, building dashboards, and conducting strategic analyses to drive business decisions.
- What kind of technical skills are essential for this RevOps Data & Strategy position?
- Essential technical skills include strong SQL proficiency, particularly with BigQuery, experience with dbt for data modeling, and hands-on experience with ETL/reverse ETL tools like Fivetran, Airbyte, or Segment. Familiarity with AI tools like Cursor is also highly valued.
- What does FullEnrich mean by 'AI-native' in the job description?
- FullEnrich's 'AI-native' approach means they leverage AI tools, specifically mentioning Cursor for their dbt project, to act as a multiplier for faster development and smarter modeling. As a RevOps Data & Strategy professional, you are expected to utilize these tools to enhance your work.
- How will the responsibilities evolve in the RevOps Data & Strategy role over time?
- Responsibilities will evolve in phases. Initially, you'll focus on owning the data layer (0-90 days), then delve deeper into business analyses (3-6 months), and finally move closer to revenue decisions like forecasting and performance analysis (6-9 months), becoming a key analytics partner.
- What kind of SaaS metrics should I be familiar with for the RevOps Data & Strategy role?
- For the RevOps Data & Strategy role, you should have a solid understanding of key SaaS metrics such as ARR (Annual Recurring Revenue), churn rate, customer activation, and unit economics. This knowledge is crucial for conducting strategic analyses.
- What is the typical hiring process at FullEnrich for this role?
- The hiring process at FullEnrich is designed to be fast, transparent, and human. It typically includes a first call with Simon (RevOps) for mutual fit, a technical case study to assess problem-solving skills, and a final interview with the Founders for culture and vision alignment.
- What is FullEnrich's approach to data and why is it unique?
- FullEnrich aggregates data from over 20 providers into a waterfall system to ensure the highest coverage and quality of contact information. This contrasts with tools that rely on single data sources, offering a more robust solution for businesses.