Senior Data Analyst

Yubo; Paris; Sur place; EUR 40 000 - 70 000; Plein temps

Résumé du poste

Yubo in Paris, Nouvelle-Aquitaine, is looking for an analytical partner to define data requirements for critical projects. In this role, you'll work closely with Product, User Acquisition, and Moderation teams to translate business problems into actionable data insights.

The ideal candidate will have expertise in SQL and Python, and experience with analytics tools like Looker and Amplitude. You will also mentor stakeholders on analytics tools and dashboarding to enhance data-driven decision-making.

Responsabilités

• Define data requirements and ensure pipelines meet analytical needs.
• Translate business problems into data questions for stakeholders.
• Improve data reliability, accessibility, and usability.
• Facilitate discussions to align on KPIs and measurement frameworks.
• Build and maintain dashboards for self-service access to KPIs.

Connaissances

SQL

Python

Data visualization

KPI alignment

Analytics tools

Outils

Trino

Looker

Amplitude

Airflow

dbt

Description du poste

Responsibilities

• You will play an integral part in defining data requirements and ensure data pipelines meet analytical needs along with the data engineering team to be able to provide deep-dive analytics and generate actionable insight on topics such as User Acquisition or Product performance.
• As the primary analytical partner for Product, UA and Moderation teams, you will translate business problems into data questions and collaborate with the data engineering team to adapt and improve our current data model to provide deeper insights.
• You will also work closely with data engineers to improve data reliability, accessibility and usability, as well as establish clear processes for requesting new data models or adapting existing ones.
• You will act as a facilitator for discussions and workshops with cross-functional teams to align on KPIs and measurement frameworks.
• You will build and maintain dashboards to provide self-service access to critical KPIs for various teams, and create custom reports when required for different stakeholders on specific areas such as release performance, user acquisition, safety resource utilization.
• To that regard, you will also act as a mentor to train stakeholders on how to use analytics tools effectively, how to interpret data correctly and use the appropriate level of analytics for the need.

Tools we use

• Languages: SQL and Python
• Query engine: Trino
• Data viz and dashboarding: Looker
• Product and behavioural analytics: Amplitude
• Workflow management: Airflow
• Data transformation: dbt