This is a permanent contract based at ORIS offices near the Part-Dieu train station in Lyon, where you will join a collaborative multi-cultural and ambitious team. This position is open to RQTH status also.

You will collaborate with cross-functional teams, including Product, Engineering, and Tech. This role offers the opportunity to work in a fast-paced, multi-cultural environment, embracing agile principles and leveraging the Kanban framework, while exploring cutting-edge AI technologies and frameworks. Your missions:

Dashboard & Reporting Development

• Design, develop, and maintain interactive dashboards and reports in Tableau to support product features, internal analytics, and consulting deliverables.

• Translate product development requirements into analytical datasets, visualizations, and reporting structures.

• Continuously improve existing dashboards to ensure clarity, usability, and meaningful insights for stakeholders.

• Support the embedding of analytics dashboards within the SaaS platform for internal and external users.

Internal Analytics & KPI Reporting

• Develop and maintain company-wide reporting dashboards tracking key metrics across departments such as:

  • Product usage and platform performance

  • Customer engagement and adoption

  • Operational and financial KPIs

  • Sustainability and carbon-related metrics

• Work with department stakeholders to define, implement, and monitor Key Performance Indicators (KPIs).

• Deliver regular analytical insights and reporting to support data-driven decision-making across the organization.

Data Integration, Collection & Synchronization

• Gather data from various sources, such as databases, APIs, or web scraping

• Contribute to the integration of data from the SaaS platform (AWS / PostgreSQL) into the Business Intelligence environment.

• Support the development and maintenance of data pipelines connecting the platform, external sources, and Tableau.

• Assist in managing data synchronization, transformation, and migration workflows using tools such as Airbyte, DBT and Python scripts

Data Quality & Governance

• Ensure the accuracy, completeness, and consistency of the data in business intelligence solutions

• Collaborate with data engineers to maintain data integrity along through the whole data lifecycle

AI-Driven Analytics & Continuous Innovation

• Continuously explore AI and advanced analytics techniques to improve the way data is analyzed, interpreted, and visualized.

• Experiment with AI-assisted data analysis, automated insight generation, and intelligent reporting workflows.

• Evaluate emerging AI-powered BI features (e.g., Tableau AI capabilities, predictive analytics, natural language querying).

Skills Required:

• Good understanding of Business Intelligence concepts and how data supports decision-making.

• Familiarity with BI tools such as Tableau, Power BI, Qlik Sense, etc.  for building dashboards and visualizations.

• Basic proficiency in data analysis and reporting, including interpreting datasets and identifying trends.

• Understanding of data modeling fundamentals and data warehousing concepts.

• Familiarity with ETL/ELT processes and modern data pipelines (e.g., Airbyte, dbt, or similar tools).

• Ability to write SQL queries for data extraction and manipulation, preferably with relational databases such as PostgreSQL.

• Proficiency in scripting languages like Python for data engineering and analysis.

• Proficiency in data quality assessment, cleansing, and validation.

• Familiarity with Agile development practices such as Scrum or Kanban..

• Basic understanding of APIs and how to retrieve data from external services.

Nice to have:

• Familiarity with statistical analysis techniques, machine learning concepts and their application in BI for predictive analytics.

• Familiarity with Git version control, including basic branching and collaboration workflows.

• Basic understanding of CI/CD concepts (e.g., GitLab pipelines).

• Experience participating in data projects, hackathons, or open-source contributions.

• Experience with data visualization best practices and storytelling with data.

• Awareness of cloud environments such as AWS and common data services used in data pipelines

Why join ORIS?

• Be part of an exciting ConTech (construction technology) startup that makes a positive impact. Our mission-driven company is dedicated to turning sustainable infrastructure into reality 🌎

• A collaborative and inclusive work environment that values creativity and teamwork 🌟

• A highly talented international and multicultural team blending diverse expertise in engineering, digitalisation/AI and construction materials, where innovation thrives 🚀

• Great office located near Part-Dieu in Lyon 📍

• Flexible home office policy 🏠

• Healthcare insurance, with strong company contribution ❤️‍🩹

• MacBook provided 💻

• Lunch vouchers (8€/day lunchcard - 50% coverage by ORIS) 💳

First round Technical interview / Second round CTO & COO / Last round CEO & HR