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.

Overview Position Summary: We’re looking for an Analytics Engineer II to build our next-generation enterprise metrics store and enable insights across underwriting, sales, product, claim and experience. This role blends analytics engineering and prompt engineering, supporting our journey toward a fully governed, AI-ready data ecosystem.As an Analytics Engineer, you will sit at the intersection of:• data modeling (dbt, semantic layer)• business metrics (insurance domain: quotes, binds, premium, agency performance)• analytics engineering (root cause analysis, metric relationships, metric store)This is a hands-on role where you will design, build, and scale core metrics and analytical workflows, working closely with product, business, and engineering stakeholders. The team is evolving toward exposing metric infrastructure as internal services, so you’ll have the opportunity to shape that API layer as it matures. Geo-Salary Information An in-person interview may be required during the hiring process State specific pay scales for this role are as follows: $94,458 to $179,048 (CA, NJ, NY, WA, HI, AK, MD, CT, RI, MA) $X85,871 to $162,771 (NV, OR, AZ, CO, WY, TX, ND, MN, MO, IL, WI, FL, GA, MI, OH, VA, PA, DE, VT, NH, ME) $77,283 to $146,494 (UT, ID, MT, NM, SD, NE, KS, OK, IA, AR, LA, MS, AL, TN, KY, IN, SC, NC, WV) The expected base salary for this position will vary depending on a number of factors, including relevant experience, skills and location. Responsibilities Essential Job Functions: - Build and scale the metric layer - Develop and maintain dbt models - Contribute to semantic layer definitions (metrics, dimensions, relationships)Ensure consistency and correctness of: key business metrics o metric hierarchies (metric pyramid) - Implement analytical logic (root cause analysis & metric insights) - Build root cause analysis workflows:Implement baseline comparisons , companion metric analysis - Translate business questions into scalable analytical patterns - Enable metric consumption across toolsSupport metric usage in different BI or analytical tools - Build reusable logic that avoids duplication across tools - Prepare for future API-based metric serving layer - Partner with business and product stakeholders - Work closely with sales, product, underwriting, claims, experience and other business teams, Translate ambiguous questions into: - Structured metrics - Actionable insights - Improve data quality and governance - Define and enforce: - Metric definitions - Dimension standards - Data contracts - Debug issues across: - Upstream pipelines - Semantic layer - Analytical outputs Qualifications Education: - 3–5 years of analytics engineering or similar analytical role experience with dbt or similar transformation frameworks proficiency: models, tests, incremental materialization, Jinja macros - Advanced SQL on a columnar warehouse (Redshift, Snowflake, or BigQuery) - Python for data transformation and analysis (pandas, basic scripting) - Comfort working with YAML-based configuration and version-controlled analytics workflows - Clear written and verbal communication—able to explain metric definitions and data lineage to non-technical stakeholders - Nice to haveP&C insurance domain experienceExperience with:Cohort analysisFunnel metricsPerformance analysisFamiliarity with MetricFlow specifically and the dbt Semantic LayerExposure to Retool or similar low-code tools for operational write-back workflowsFastAPI or similar Python API frameworks (Flask, Django REST) for serving data products as services About the Company Why choose a career at Mercury? At Mercury, we have been guided by our purpose to help people reduce risk and overcome unexpected events for more than 60 years. We are one team with a common goal to help others. Everyone needs insurance and we can’t imagine a world without it. Our team will encourage you to grow, make time to have fun, and work together to make great things happen. We embrace the strengths and values of each team member. We believe in having diverse perspectives where everyone is included, to serve customers from all walks of life. We care about our people, and we mean it. We reward our talented professionals with a competitive salary, bonus potential, and a variety of benefits to help our team members reach their health, retirement, and professional goals. Learn more about us here: https://www.mercuryinsurance.com/about/careers Perks and Benefits We offer many great benefits, including: - Competitive compensation - Flexibility to work from anywhere in the United States for most positions - Paid time off (vacation time, sick time, 9 paid Company holidays, volunteer hours) - Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus) - Medical, dental, vision, life, and pet insurance - 401 (k) retirement savings plan with company match - Engaging work environment - Promotional opportunities - Education assistance - Professional and personal development opportunities - Company recognition program - Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more Mercury Insurance is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by federal, state, or local law. Pay Range USD $94,458.00 - USD $179,048.00 /Yr.