Senior Product Data Analyst

**About Teads**

Teads is the omnichannel outcomes platform for the open internet, driving full-funnel results for marketers across premium media. With a focus on meaningful business outcomes for branding and performance objectives, the combined company ensures value is driven with every media dollar by leveraging predictive AI technology to connect quality media, beautiful brand creative, and context-driven addressability and measurement. One of the most scaled advertising platforms on the open internet, Teads is directly partnered with more than 10,000 publishers and 20,000 advertisers globally. The company is headquartered in New York, with a global team of nearly 1,800 people in 30+ countries.

**The Commercial Empowerement Team**:
The Commercial Empowerment team enables our global and local sales forces to operate at peak efficiency by streamlining workflows and standardizing our commercial offerings. We operate at the intersection of our CRM (Salesforce) and internal platforms, leveraging AI capabilities to deliver high-impact projects that simplify the seller's journey and drive commercial excellence at Teads.

**Our**Business Intelligence Community**:
We want to empower everyone at Teads to take data-driven decisions. To achieve this, we federate a community of Data Analysts, distributed across our product areas. They infuse a data-driven culture within the entire company by driving proactive product analysis and building self-serve Business Intelligence tools. They also make sure everyone else within their product area is empowered to use these tools or run ad-hoc studies of any kind (business analysis, financial reporting, exec summary, growth analysis, etc.).

**What will you do?**:
As a **Senior** **Data Analyst** in the Product department, your goal is to help infuse a data-driven culture at Teads.

To develop BI within your product area, you will proactively:

- **Drive the adoption of standard key product metrics**, leveraging Teads BI stack (datamarts, data catalog, dashboards, etc.), by making them available in self-service to everyone in the company, with a standardized and accepted definition.
- **Assess the success of each product release**, by defining and monitoring relevant metrics (success, adoption, etc.), and reporting them regularly to key stakeholders.
- **Help shape the product roadmap**, by working closely with Product Managers, and by owning yourself a part of the roadmap, in order to assess business opportunities and challenges.
- **Drive ad-hoc studies and self-serve data exploration**, by building self-serve BI tools, and providing documented business models developed in close collaboration with Software Engineers.
- **Spread BI knowledge and best practices**, by animating BI rituals (workshops, trainings, demos, etc.) and keeping a good relationship with data enthusiasts of your product area (business analysts, product managers, leadership, etc.)

You will also be part of a community to develop BI transversely. As a member of this community, you will:

- **Govern a BI roadmap**, around a unified vision and common objectives.
- **Work on global BI initiatives**, such as standardizing the UI/UX of dashboards, BI learning & knowledge, or consolidating a centralized Data Catalog.
- **Define and share BI best practices**, to enforce consistency across the board.
- **Own the complete BI cycle**, by developing your technical skills and your knowledge of the ad-tech industry.
- **Help onboarding Data Analysts**, with adequate documentation and training.

**What will you bring to the team?**:
Your skills and experience:

- At least 5 years of experience as a Data Analyst.
- Bachelor or Master degree in BI, engineering, or mathematics.
- Advanced knowledge of SQL and BI tools (warehouse, datamarts, dataviz, etc.).
- Ability to efficiently communicate and collaborate with cross-functional teams.
- Data-driven mindset and proactive approach.
- Passionate, innovative, and fast learner.
- Strong problem solving and analytical skills.
- Fluent in English.

Bonus points:

- Experience with BI platforms (Looker, Tableau, PowerBI, SiSense, Qlik, Domo, etc.).
- Experience with modern data warehousing solutions (BigQuery, SnowFlake, Redshift, etc.).
- Experience in the digital advertising industry.
- Experience in coding.
- Proficient in French.

**We care about you**:

- **Security & Savings**: Attractive package providing financial peace of mind, including competitive compensation, profit-sharing, daily meal vouchers (Swile), family health insurance (Alan), and a personalized relocation package (if needed).
- **Career Development**: Continuous investment in our employees' skills: in-house and external training, tech conference opportunities, internal mobility (individual contributor or management career ladder).
- **Life Balance**: A well-balanced work-life for our employees is one of our top priorities: 35+ days off per year, hybrid work (2 days remote work per week), fully covered parenta