Data Analyst OCUS

End-to-end imagery lifecycle solution with real-world photography and AI editing.

Permanent

Paris

A few days home

Salary: Not specified

> 4 years

5 years of study

over 1 year ago

Skills we're looking for

Continuous improvement

Communication skills

Looker

Stitch

DBT

You'll be part of

40 employees

Artificial Intelligence / Machine Learning

Average age: 32

Founded in 2016

55%

45%

Employee turnover: 5

In the digital age, images are crucial in driving customers decisions. To outperform competitors and capture market share in a crowded landscape, companies need high-impact, brand-consistent images that deliver results.

But while imagery is essential to perform, it’s still painful to handle at scale. Sourcing, moderating, editing, managing and optimizing visuals is slow, complex and costly. Customers journey and sales funnel are sub-optimal, resulting in lower traffic, weak conversion rates, poor client retention and a damaged brand.

As a visual-tech company, Ocus provides an end-to-end solution that handle imagery lifecycle from real-world photography to AI-based visual moderation and editing.

You'll be working on

As a Data Analyst & Automation Manager, you will take full ownership of our data infrastructure, analytics, and internal data-driven automation projects.

You will be responsible for ensuring the reliability of our BI stack, building advanced data models to support business decision-making, and developing lightweight automations to improve internal processes.

You will work closely with the COO and cross-functional teams (Operations, RevOps, Product) to translate business needs into scalable data solutions.

We're looking for

Key Responsibilities

Own and manage the entire BI stack:
- Monitor ETL pipelines (Stitch) and handle incident resolution.
- Maintain and develop data transformation pipelines in DBT.
- Manage scheduled queries and pipelines in BigQuery.
- Build and maintain LookML models, dashboards, and user access in Looker.
Build advanced data models to support cross-functional initiatives (e.g. pricing optimization, mission-photographer matching algorithms, operational forecasts, etc.).
Develop and maintain small-scale Python automations to replace manual processes, in collaboration with the RevOps manager.
Ensure data quality, availability, and consistency across all systems.
Partner with business stakeholders to design and deliver actionable data products.
Continuously improve and evolve the data stack to support the company’s growth.

Preferred experience

4+ years experience in Data Analytics / BI / Data Engineering, ideally in a tech or tech-enabled environment.
Strong experience across the full BI stack: DBT, BigQuery, Looker (LookML).
Proficient in SQL (data modeling, analysis, troubleshooting).
Proficient in Python (automation scripts, data processing, small-scale models).
Solid understanding of applied data science techniques (forecasting, optimization, scoring models).
Highly autonomous, capable of owning and driving the full data & automation scope.
Excellent communication and stakeholder management skills.

Benefits

How we hire

HR Interview: An initial conversation with our Talent team to discuss your background, motivations, and answer any initial questions you may have.
Manager Interview: A discussion with the hiring manager focusing on your skills and experience
Business Case: A practical task where you present a business case to demonstrate your analytical skills
Stakeholder Meeting: Interactions with future team members to assess team fit
CEO Interview: A final strategic and cultural fit interview with the CEO