Analytics Engineer (Contract)

Lemrock - Paris (hybrid) - original posting ->
Status
Open
Remote policy
Not stated
Employment type
Contract
Salary
Not stated
Categories
Engineering
Tech
bigquerypythondata
Source
arbeitnow
First observed
2026-10-07 00:48 UTC
Last seen
2026-10-07 00:48 UTC
Source claims posted
2026-10-06 22:40 UTC
Consecutive misses
0 of 3

What the posting says

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

Quality

Completeness: 45%

Not enough history yet to judge honesty signals.

Timeline

  1. *
    #1222541 2026-10-07 00:48 UTC
    Published