• Coordinate with different teams to understand business needs and propose the best data modeling solutions; • Translate business concepts into quantitative metrics (KPIs, OKRs, etc.); • Model and architect data for analytical purposes following best practices, including data quality and documentation; • Orchestrate workflows related to data pipelines.

Tous nos postes sont ouverts au télétravail. Rejoindre Deloitte, c'est dire oui à une expérience qui a du sens, celle où les rencontres et les missions vous poussent à grandir chaque jour. C’est évoluer dans un environnement de travail fondé sur la confiance, la transmission et l’intelligence collective pour construire l’avenir de nos clients. Un avenir que nous voulons plus responsable, plus durable et respectueux de l’environnement en prenant des initiatives concrètes à notre échelle. Nous rejoindre, c’est aussi dire oui à une entreprise Great Place to Work, attachée au bien-être, et à l’inclusion sans distinction de nos collaborateurs. Et vous, prêts à dire #ISayYes à votre futur chez Deloitte ? L'activité STeeR de Deloitte accompagne ses clients dans la réalisation de leurs projets stratégiques en vue d'améliorer leurs performances financières et organisationnelles. Quel sera votre rôle dans la #TeamDeloitte ? Vous intégrez notre équipe Data & Analytics tant que Consultant Expérimenté pour intervenir sur des missions variées visant à accompagner nos clients dans les projets de transformation data, Deals Analytics et l'analyse de données. A ce titre, vous occuperez les responsabilités suivantes : - Compréhension et prise en main rapide des besoins du client ; - Rédaction des spécifications techniques en se basant sur les besoins métiers - Développement de solutions Data & Deals Analytics ; - Respect des normes et bonnes pratiques de développement ; - Assurer le support, la maintenance évolutive et corrective des solutions; - Rédaction des procédures techniques et la description des incidents/problèmes et leur résolution ; - Reporter au manager l’état d’avancement des travaux, remonter les risques, alertes et proposer des solutions et plans de remédiation. Vous grandissez au sein d’une équipe où se mêlent pluridisciplinarité, expertise pointue, esprit d'entreprendre et forte cohésion. Tout au long de votre expérience vous développez et renforcez un set de compétences grâce aux programmes de formations proposés (R, Python, GIT, Azure, Tableau, Snowflake, Databriks, OpenAI, MLOps …). Et si c’était vous ? - Diplômé(e) d’une grande école d’ingénieurs d’état, Master 2 avec une spécialité autour d’une discipline DATA (Big Data, BI, Data Science…) ou d’un Master 2 d’ingénierie économique / économie ou économétrie appliquée. - Vous disposez d’une expérience de 2 à 4 années dans un cabinet de conseil ou d’expertise économique dans le domaine de l’antitrust ou au sein d’un service économique d’une autorité de concurrence ou d’une autorité de régulation. - Bonne connaissance de R, Python, GIT et SQL - Expérience dans le développement autour des solutions et des outils Data, Analytics & AI tel que R Shiny, Power BI. - Connaissance en gestion des projets et des méthodologies de delivery. - Excellentes capacités de communication orale et bonne maîtrise de l’anglais à l’écrit et à l’oral. - Solides capacités rédactionnelles sur le plan technique. - Maîtrise de PowerPoint, Word, Excel. Poste basé à Paris La Défense.

Who We Are At Apptegy, we are more than a tech company; we are partners dedicated to transforming how schools communicate and shape the future of education. Your work here will directly empower districts to share their stories, engage their communities, and celebrate student success. We're a team of thoughtful, high-performing individuals committed to making a tangible impact. If you're looking for a dynamic environment where you'll be supported with exceptional mentorship and resources to grow your career, come build with us. The Role As a Senior Engineer at Apptegy, you’ll play a key role in shaping the architecture, performance, and scalability of our platform. This role is a unique hybrid that bridges traditional application development with data engineering. You will be responsible for building and scaling our analytics and data platform. You will own the delivery of reliable, high-performing software and data systems, working primarily with our Ruby on Rails backend services, while building efficient data pipelines to transfer and transform data from PostgreSQL to Snowflake. This role is ideal for an engineer who thrives in a fast-paced environment and enjoys building systems from the ground up that provide meaningful, real-time insights to educators and students. What You’ll Do Technical Execution & Strategy - System Architecture: Take responsibility for designing system architecture and scalable data models, ensuring scalability, security, and performance across the entire platform. - Backend Development: Implement event-capture frameworks within our Ruby on Rails services (e.g., shared gems and event schemas). - Pipeline Engineering: Design and build event-driven data pipelines specifically engineered for in-product analytics, ensuring data is cleaned, modeled, and optimized to power user-facing insights and reporting features. - Process Optimization: Decompose large, complex tasks into manageable units of work to ensure efficient execution. - Problem Solving: Proactively anticipate potential technical challenges before they arise and approach challenges with a solutions-focused mindset. - Strategic Alignment: Collaborate with product managers and engineers to align technical and data efforts with business goals and long-term strategy. Leadership & Collaboration - Mentorship: Actively share knowledge of software and data engineering best practices and ensure quality standards are followed throughout the development cycle. - Data Quality: Lead the development of unit and integration tests with quality gates to ensure both code reliability and the integrity of data served within the product. - Collaboration: Work effectively within teams, valuing diverse perspectives and improving cross-team collaboration to manage timelines and resources effectively. - Communication: Proactively share ideas, progress, and questions with stakeholders to ensure alignment, while clearly explaining complex technical decisions and their implications. What You’ll Bring Experience & Technical Skills - Experience: 5+ years of professional software development experience, with a focus on backend services and engineering data for analytics. - Backend Proficiency: Strong experience building backend systems (Ruby on Rails, Python, or similar). - Data Engineering: Deep experience with SQL, data modeling, and building scalable, reliable event-driven data pipelines using a medallion architecture (bronze/silver/gold layers). - System Design: Experience designing and building scalable, high-performance systems. - Process: Mastery with Scrum processes and a track record of effectively prioritizing tasks to meet deadlines and project goals. Behavioral Competencies - Ownership: Demonstrates accountability by taking full responsibility for systems and proactively addressing obstacles. - Adaptability & Curiosity: Adjusts smoothly to new tools and evolving requirements while seeking to learn new technologies. - Analytical Problem Solving: Approaches complex data and software needs with a solutions-focused mindset and possesses excellent debugging skills. What Makes You Stand Out - Cloud Platforms: Experience with AWS; relevant certifications (AWS Certified Solutions Architect Associate, AWS Certified Data Engineer) are a plus - Database Technologies: Experience with database technologies (e.g., RDS/Aurora PostgreSQL, Snowflake). Experience replicating data via Change Data Capture (CDC) from PostgreSQL to Snowflake. - Semantic Layers: Familiarity with Semantic reporting layers and headless BI frameworks (e.g., Cube.dev) to support consistent, scalable in-product analytics. - DevOps & Infrastructure: Knowledge of DevOps practices and tools (e.g., Terraform, CI/CD, Docker, Kubernetes). - AI-Enhanced Development & Testing: Proficiency in leveraging AI coding assistants (e.g., Cursor, Claude Code) to accelerate code generation, refactoring, and the development of robust unit and integration tests across the full stack (Vue.js, Ruby on Rails). - Industry Experience: Experience in the education technology sector. Why Apptegy Join a team that’s committed to your success. At Apptegy, we’re passionate about creating an environment where you can do your best work and find true fulfillment. We believe in investing in our people—both professionally and personally—because your well-being drives our collective impact. US Employee Benefits: Comprehensive medical, dental, vision, and life insurance coverage Retirement 401(k) with employer match Health Savings Accounts (HSA) and Flexible Spending Accounts (FSAs) Mental Health Reimbursement Unlimited paid time off, including seasonal (December) company-wide time off Paid parental and medical leave MX Employee Benefits: Private medical insurance for you and your dependents Life insurance 15 days Aguinaldo Vales de Despensa Fondo de Ahorro Caja de Ahorro Flexible paid time off policy Paid travel to/from Little Rock, Arkansas for Onboarding. Apptegy champions the thoughtful integration of AI to empower our teams and processes. As we seek to understand your individual capabilities and how you might contribute, we ask that all responses to application questions and during interviews are genuinely your own. Please refrain from using AI generation tools, as our aim is to assess your authentic voice and expertise. Equal Opportunity Employer Apptegy is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran or disabled status, or genetic information.

Title: Analytics Engineer Location: Austin or New York (Hybrid) Job Description: About the role Behind many of life’s most important transactions — buying a house, applying for a mortgage, getting a small business loan, or refinancing a credit card — is a network of credit relationships. Setpoint provides critical infrastructure for relationships between the world’s largest banks, credit funds and capital markets counterparties. We’re building trust in this system of credit. We are looking for an Analytics Engineer to join our team supporting our external data products. In this position, you will be reporting into our Head of Analytics and partnering closely with engineering, product, and implementation teams to build and maintain the data infrastructure that powers our products. This is a hands-on role where you’ll design and maintain data pipelines, create dashboards, and work directly with stakeholders to deliver insights that drive business outcomes. Who will love this job - A data product builder: You love creating robust, scalable analytics solutions that drive decision-making. - A client partner: You enjoy working directly with clients (asset managers, business owners, technical stakeholders) to understand their needs and deliver solutions that work in the real world. - A technical problem solver: You’re fluent in Python, SQL, and DBT, and know how to integrate them into a seamless analytics workflow. - A team collaborator: You thrive in cross-functional work with engineering, product, and implementation teams. - A strategic thinker: You look beyond the immediate task to anticipate analytics capabilities needed for future growth. What you’ll do - Own end-to-end implementations for the data products for our external customers. - Build and maintain scalable data pipelines and analytics models using Python, DBT, and SQL. - Create and manage dashboards in our external and internal analytics products so stakeholders have actionable insights. - Prototype new data products to add to our product suite. - Collaborate with engineering to drive the roadmap for the data products. - Use GitHub-based workflows to maintain clean, version-controlled analytics code. - Act as a subject matter expert for analytics best practices. You should have - 5+ years of experience in analytics engineering, data engineering, or a similar technical role. - Proven expertise DBT, SQL, and GitHub-based development. Python is a plus. - Strong experience designing, implementing, and maintaining data pipelines and models. - Experience in a customer-facing role, working with technical and business stakeholders. - Experience working with asset managers, business owners, or financial services data sets is a plus. - Excellent problem-solving, communication, and collaboration skills. About Setpoint Setpoint provides purpose-built capital and technology to asset-backed borrowers and lenders. Our platform is the funding operating system for originators: it verifies and stores documents; automates critical calculations and compliance reporting; and digitizes assets like homes or cars. Setpoint’s technology makes warehouse transactions instant and error free. In August 2024, Setpoint announced the successful completion of its $31 million Series B funding round. 645 Ventures led the round, with significant strategic investments from Citi and Wells Fargo, alongside Andreessen Horowitz, NextView Ventures, Floating Point, Henry Kravis, Zillow founder’s 75 & Sunny, Vesta Ventures, Fifth Wall, Eltura Ventures, and Outrunner Capital. We offer a comprehensive benefits package that includes competitive salaries, stock options, medical, dental, and vision coverage, 401(k), short term and long term disability coverage, and flexible vacation. We have offices in Austin, TX, New York City, NY, and Salt Lake City, UT with hybrid roles based in these locations and an expectation of two days a week in office (Tuesdays and Thursdays). Compensation: $150,000 - $170,000 OTE dependent on multiple factors, which may include the candidate's skills, experience, location, and other qualifications. Setpoint provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.