Analytics Engineer (Contract)
TypeContract
LocationParis (hybrid)
Posted2 hours ago
Who we are
Lemrock builds the infrastructure of agentic commerce.
Tomorrow, consumers won't just buy on e-commerce websites. They will discover, compare and purchase directly inside conversational AI interfaces like ChatGPT, Perplexity, and a growing long tail of specialized AI assistants.
For brands, this is a major shift: if they are not present in these environments, they become invisible.
Our mission: enable any brand to exist, sell and distribute in this new channel.
We raised a €7M seed round (the first in Europe on this market), with Jean-Baptiste Rudelle, founder of Criteo, on our board, and the Bpifrance DeepTech label.
Today, Lemrock is already:
100M+ conversations per month
150+ brand clients
a $100B market structuring at high speed
The role
We are accelerating. The product works, clients renew, the market is taking shape. Every day, shoppers talk to AI agents before they buy, and performance has been at the heart of how we build the product from day one. We now want to go further and faster: understand precisely what makes our campaigns and recommendations perform, and apply it to the product continuously.
As our freelance Analytics Engineer, full-time, you will dig into our data to find what drives performance, then turn your findings into changes in the product. You will work directly with the founders and the product and engineering teams.
Understand what drives performance
Explore every data source we have: conversations, web and behavioural events, campaign performance, product and advertiser metadata
Find what drives performance and size the impact of each lever
Measure every change with A/B tests, and feed the results back into the next analysis
Turn findings into changes
Apply what you find to the product yourself, with Claude Code: which products we prioritise, who we show them to, how we present them
Write and maintain the Claude Code skills that make these updates repeatable, reviewed by the engineering team
Build data that lasts
Model our data in BigQuery so every analysis can be rerun, not rebuilt
Build the semantic layer and the shared metrics the whole team relies on, readable by our agents and Claude Code skills as well as by people
Test and document your models so the team can trust them
Specify the events and properties we are missing, for the engineering team to implement
After 3 months
Our core performance metrics are modelled, tested and exposed in the semantic layer
Campaign performance has measurably improved: you ship changes every week, each one measured by A/B tests
The update loop runs through Claude Code skills the team can rerun
Profile
Must-have
3+ years as an Analytics Engineer, Data Analyst or Data Engineer, with real analysis work
Advanced SQL, solid Python for analysis
Dimensional modelling on BigQuery (dbt or equivalent), with Git, pull requests and code review
You have built a semantic layer and BI on top of it (Lightdash, Looker or similar)
Solid statistics: A/B tests, ideally causal inference. You have turned an analysis into a product change and measured what it moved
Autonomous: you find the right questions in an open problem, turn your findings into clear recommendations, and challenge the requests you get
You use Claude Code or similar tools every day, and have already built your own workflows with them
A plus
B2C, e-commerce, marketplace or advertising experience
Ads measurement: attribution, CTR, ROAS
Growth, conversion, CRO or funnel work
You have put rerunnable data pipelines in production
Product analytics: PostHog, Amplitude, Mixpanel
Startup experience
The mission
Freelance, full-time, starting within 2 to 3 weeks
3 months, renewable
For the right person, the mission can turn into a permanent role
Fluent French and professional English
Our stack: BigQuery, dbt, Lightdash, PostHog, Python
Process: a 30-minute technical fit, then a data exercise on a real dataset (2 to 3 hours on your side, then a 20-minute debrief of your insights). Decision within the week.
Why join us
Join a company in early breakout mode, already generating revenue, with a clear technological edge and strong financial backing to fuel its growth
Work directly with an experienced team: two repeat YC founders who've scaled product & tech before, a former strategy/innovation director (10 years in the sector), and ex-strategy consultants (McKinsey QuantumBlack, BCG)
Be part of the next structural shift of the web: agentic interfaces
Own mission-critical topics, grow fast, and shape the company's future trajectory
Daily rate discussed during the process.
Find more English Speaking Jobs in France on Arbeitnow
Lemrock builds the infrastructure of agentic commerce.
Tomorrow, consumers won't just buy on e-commerce websites. They will discover, compare and purchase directly inside conversational AI interfaces like ChatGPT, Perplexity, and a growing long tail of specialized AI assistants.
For brands, this is a major shift: if they are not present in these environments, they become invisible.
Our mission: enable any brand to exist, sell and distribute in this new channel.
We raised a €7M seed round (the first in Europe on this market), with Jean-Baptiste Rudelle, founder of Criteo, on our board, and the Bpifrance DeepTech label.
Today, Lemrock is already:
100M+ conversations per month
150+ brand clients
a $100B market structuring at high speed
The role
We are accelerating. The product works, clients renew, the market is taking shape. Every day, shoppers talk to AI agents before they buy, and performance has been at the heart of how we build the product from day one. We now want to go further and faster: understand precisely what makes our campaigns and recommendations perform, and apply it to the product continuously.
As our freelance Analytics Engineer, full-time, you will dig into our data to find what drives performance, then turn your findings into changes in the product. You will work directly with the founders and the product and engineering teams.
Understand what drives performance
Explore every data source we have: conversations, web and behavioural events, campaign performance, product and advertiser metadata
Find what drives performance and size the impact of each lever
Measure every change with A/B tests, and feed the results back into the next analysis
Turn findings into changes
Apply what you find to the product yourself, with Claude Code: which products we prioritise, who we show them to, how we present them
Write and maintain the Claude Code skills that make these updates repeatable, reviewed by the engineering team
Build data that lasts
Model our data in BigQuery so every analysis can be rerun, not rebuilt
Build the semantic layer and the shared metrics the whole team relies on, readable by our agents and Claude Code skills as well as by people
Test and document your models so the team can trust them
Specify the events and properties we are missing, for the engineering team to implement
After 3 months
Our core performance metrics are modelled, tested and exposed in the semantic layer
Campaign performance has measurably improved: you ship changes every week, each one measured by A/B tests
The update loop runs through Claude Code skills the team can rerun
Profile
Must-have
3+ years as an Analytics Engineer, Data Analyst or Data Engineer, with real analysis work
Advanced SQL, solid Python for analysis
Dimensional modelling on BigQuery (dbt or equivalent), with Git, pull requests and code review
You have built a semantic layer and BI on top of it (Lightdash, Looker or similar)
Solid statistics: A/B tests, ideally causal inference. You have turned an analysis into a product change and measured what it moved
Autonomous: you find the right questions in an open problem, turn your findings into clear recommendations, and challenge the requests you get
You use Claude Code or similar tools every day, and have already built your own workflows with them
A plus
B2C, e-commerce, marketplace or advertising experience
Ads measurement: attribution, CTR, ROAS
Growth, conversion, CRO or funnel work
You have put rerunnable data pipelines in production
Product analytics: PostHog, Amplitude, Mixpanel
Startup experience
The mission
Freelance, full-time, starting within 2 to 3 weeks
3 months, renewable
For the right person, the mission can turn into a permanent role
Fluent French and professional English
Our stack: BigQuery, dbt, Lightdash, PostHog, Python
Process: a 30-minute technical fit, then a data exercise on a real dataset (2 to 3 hours on your side, then a 20-minute debrief of your insights). Decision within the week.
Why join us
Join a company in early breakout mode, already generating revenue, with a clear technological edge and strong financial backing to fuel its growth
Work directly with an experienced team: two repeat YC founders who've scaled product & tech before, a former strategy/innovation director (10 years in the sector), and ex-strategy consultants (McKinsey QuantumBlack, BCG)
Be part of the next structural shift of the web: agentic interfaces
Own mission-critical topics, grow fast, and shape the company's future trajectory
Daily rate discussed during the process.
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