Analyze and measure paid media performance, connecting metrics to business outcomes. Collaborate with cross-functional teams to provide data-driven insights for investment decisions and develop models for forecasting and budget allocation.

• Build, maintain, and optimize data transformation layers using dbt and Snowflake. • Ensure data flows efficiently from raw sources (MMPs, Ad Networks) to final models. • Design and develop complex, intuitive dashboards (ThoughtSpot/Tableau) that visualize campaign ROI and performance for internal and external stakeholders. • Execute complex SQL queries to support the Head of Data in deep-dive investigations and anomaly detection. • Perform rigorous testing on your own code and data outputs to ensure 100% accuracy before deployment. • Maintain clear documentation of data definitions, metrics, and logic to ensure the BI ecosystem remains organized and scalable.

Description The Power BI Developer is responsible for designing, developing, and maintaining enterprise-grade business intelligence solutions using Microsoft Power BI. This role partners closely with business stakeholders, data engineers, and IT leadership to deliver accurate, scalable, and secure dashboards and reports that support executive, operational, and clinical decision-making. The ideal candidate has strong experience with Power BI, data modeling, and DAX, along with a solid understanding of data governance, performance optimization, and modern data platforms such as Microsoft Fabric, Azure, or SQL-based environments. Requirements Power BI Development & Reporting - Design, develop, and maintain Power BI reports, dashboards, and semantic models aligned to business requirements - Create visually compelling, intuitive, and performant dashboards for executive, operational, and departmental audiences - Develop reusable Power BI datasets and measures using DAX and best-practice data modeling techniques Data Modeling & Integration - Collaborate with data engineering teams to consume data from SQL databases, data warehouses, Microsoft Fabric Lakehouse, Azure Data Factory, APIs, and other enterprise sources - Build and maintain star-schema and dimensional data models optimized for reporting and analytics - Validate data accuracy, consistency, and completeness across source systems and reports Security, Governance & Performance - Implement row-level security (RLS) and role-based access controls in Power BI - Optimize report and dataset performance through query tuning, model optimization, and capacity management - Follow enterprise standards for naming conventions, documentation, version control, and deployment Stakeholder Collaboration - Partner with business stakeholders to gather requirements, translate needs into technical designs, and deliver actionable insights - Support UAT, release management, and ongoing enhancements based on user feedback - Provide documentation and knowledge transfer for dashboards, metrics, and data definitions Operations & Continuous Improvement - Monitor report usage and performance; proactively identify and resolve issues - Stay current with Power BI features, Microsoft Fabric capabilities, and BI best practices - Support analytics roadmap initiatives and contribute to BI standards and governance frameworks Qualifications: Education: - Bachelor’s degree in Information Systems, Computer Science, Data Analytics, or a related field (or equivalent experience) Qualifications: - 3+ years of hands-on experience developing solutions with Microsoft Power BI using Fabric Lakehouse data source. - Experience with Microsoft Fabric, Azure Synapse, Azure Data Factory, or Lakehouse architecture. - Strong proficiency in: - Power BI Desktop and Power BI Service - DAX and Power Query (M) - SQL (writing and optimizing queries) - Strong experience with data modeling concepts facts/dimensions Preferred Additional Qualifications: - Experience implementing security (RLS) and managing Power BI workspaces - Power BI or Microsoft Data Platform certifications Skills: - Strong analytical thinking and troubleshooting skills with a keen attention to detail. - Excellent communication skills, both verbal and written, to effectively interact with clinical and administrative staff. - Ability to manage multiple tasks and projects simultaneously in a fast-paced environment.

The Data team builds and runs the data platform that powers critical product features and gives every team reliable insights. We process billions of events monthly and store more than 30TB of data, supported by 200+ data pipelines. Among the outcomes, 100+ dashboards and dozens of tools/automations help the company scale and make smarter and faster decisions. What makes our team unique is our central role at the intersection of Product, Operations, CS, Sales, and Engineering. As a 6-month BI Engineering intern, your main focus will be to design an AI-powered initiative enabling teams to build and run their own Snowflake queries autonomously. Other projects will include supporting the transition away from Amplitude, and answering business questions around churn, upsell, and feature adoption, helping teams move faster with reliable data. This is a hands-on opportunity to drive real impact and shape how data and AI are used across the company. Within 1 month, you will: - Discover 360Learning, its platform, teams, and culture - Get familiar with our data stack (Snowflake, Looker, dbt, etc.) and our ways of working - Understand our self-service strategy and current challenges around data requests Within 3 months, you will: - Answer high-impact business questions around churn, upsell, and feature adoption - Collaborate with our Senior Data Analyst to improve documentation, data models, and best practices to strengthen self-service adoption - Accompany teams in becoming more autonomous on Looker - Design an AI-powered initiative enabling teams to build and run their own Snowflake queries autonomously - Draft the roadmap for the migration from Amplitude to our internal tracking tool Within 6 months, you will: - Support the transition away from Amplitude by helping replicate key use cases within our data stack - Scale and iterate on the AI/self-service initiative based on team feedback and adoption - Be a go-to person for business questions to unblock teams to drive upsells or prevent churn The Skill Set - Strong knowledge of SQL, and basic knowledge of BI tools (Looker, Tableau etc.) - Basic knowledge of GitHub - Willingness to learn and explore our data stack (Snowflake, Looker, dbt) - Interest in data modeling, data warehousing principles, and building reliable queries - Curiosity and problem-solving mindset: able to break down ambiguous questions into clear, actionable steps - Comfortable collaborating with many different teams, understanding their needs, and communicating technical concepts in a simple way - Open to feedback and eager to learn from experienced analysts, engineers, and product teams - Fluent English (US/UK) / B2 level or equivalent (FR) - Enthusiasm for our working environment explained here: https://bit.ly/Convexity360L What We Offer: - Compensation and benefits: meal vouchers, remote work, transportation reimbursement (50%) - Flexible organization: fully remote work possible in France, 35 hours / week - DEI (Engagement for Diversity and Inclusion): six active employee resource groups (mental health, sustainability, ethnic diversity, parenthood, LGBTQIA2S+, women) - Social responsibility: discover our CSR charter 👉 CSR Charter - Structured Career Path: personalized onboarding, regular follow-up, and rapid skills development 👉 Employee Journey Interview Process - Phone Screen with our Talent Acquisition Manager - Discovery Meeting with our Senior Data Manager - Case study Meeting with our Senior Data Manager and our Senior Data Analyst - Clarification Meeting with our Director of Technology and one of our Data Engineers - Offer! → Get ready using our Knowledge Base: https://bit.ly/42H1ggC Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!