Senior Data Analyst - M/F

Description: Our client is a company specializing in digital watermarking technologies, used to protect audiovisual content against piracy and illegal redistribution. Its solutions are primarily aimed at major industry players:

• Film studios
• Television channels
• Video on demand (VOD) platforms
• Sports event broadcasters

The objective is to secure the distribution of premium content (films, series, sporting events) by notably enabling the tracing of the origin of leaks in the event of illegal broadcasting. The company is launching a strategic project -> the creation of a SOC dedicated to the analysis and securing of video streams.

Objective:

• Secure streaming services against threats and fraudulent behavior.
• Guarantee proactive detection of weak signals,
• Guarantee high data quality
• Effectively drive remediation to strengthen the overall security of platforms.

In this context, you will join a team of 7 experts, in an agile, technical, and constantly evolving environment. As a Senior Data Analyst, your mission consists of exploiting, structuring, and interpreting large volumes of technical and business data in order to design high-value-added analyses, indicators, and visual reports, serving concrete security issues.

Main Missions

• Transform complex data into actionable analyses to meet concrete client use cases
• Design and evolve business indicators to detect weak signals and support decision-making
• Cross-reference and interpret heterogeneous multi-source data to produce reliable insights that are directly exploitable in production
• Evaluate the quality and robustness of analyses by mastering data biases and limitations
• Structure, prepare, and enrich data to maximize its analytical value
• Design high-impact dashboards and visualizations, adapted to users, clients, and internal teams
• Collaborate daily with DevOps experts, Data Engineers, and product teams within an agile framework

Complementary Missions

• Evolve data flows and processing for analytical exploitation
• Improve the readability and operational utility of reporting tools and dashboards
• Ensure data quality, governance, and security

Technical Environment:

Python, advanced SQL, AWS (S3, Athena, Glue, QuickSight), Lakehouse (Apache Iceberg), OLTP, OLAP, ETL, Plotly Dash, Docker, GitLab.

Location: Rennes Remuneration: 45,000 – 60,000 Euros Remote work: 1 to 2 days Benefits: PEE, 300% employer matching / Mutuelle 60% / Swile 60% paid by the company / Prévoyance 100% / Transport 70% paid by the company / PERCO / CET / Hackathons / International context.

Profile sought:

Education & Experience

• Master's degree (engineering school, master's, or equivalent)
• Minimum 5 years of experience in data, including 3 years as a Data Analyst

Soft Skills

• Analytical mindset and ability to solve complex problems
• Pedagogy: ability to present technical results to various stakeholders
• Fluent English, written and oral (working language)
• Autonomy, curiosity, and rigor
• Orientation towards quality, reliability, and the pursuit of efficiency in proposed solutions.