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**Oliver Wyman Seeking Full Stack Software Engineer - Analytics Application Developer (Mexico City)** Oliver Wyman, a leading global management consulting firm, seeks a skilled **Full Stack Software Engineer** to join their team in Mexico City as an **Analytics Application Developer**. This role bridges data analytics and software development, enabling users to interact with data meaningfully. Key responsibilities include: - Contributing to application design using **MEAN/MERN** stack and **Python FastAPI** - Developing and maintaining data exploration, visualization, and reporting apps - Designing and leveraging microservices and API-first development - Deploying applications with proficiency in **container technologies** (e.g., Docker, Kubernetes) - Creating clean, responsive UIs with HTML5, CSS3, JavaScript/TypeScript, and React The ideal candidate holds a **Bachelor's degree in Computer Science** or **equivalent experience**, with **3+ years** in software engineering. Proven experience with Python, **FastAPI**, **MEAN/MERN** stack, SQL and NoSQL databases, and CSS frameworks is required. Familiarity with Git, CI/CD pipelines, and Agile development is preferred.
- Compensation
- Not specified
- City
- Mexico City
- Country
- Mexico
Currency: Not specified
Full Job Description
About Oliver Wyman
At Oliver Wyman, a Marsh (NYSE: MRSH) business, we bring deep industry insight, bold innovation, and a collaborative approach that cuts through complexity to help organizations navigate their most defining transformative moments.
As a business of Marsh, we work alongside the worlds leading experts across risk, reinsurance and capital, people and investments, and management consulting. Together with Marsh Risk, Guy Carpenter, and Mercer, we help organizations build resilience and competitive advantages from every angle. With annual revenue over $24 billion and more than 90,000 colleagues in 130 countries, Marsh helps build the confidence to thrive through the power of perspective.
For more information, visit oliverwyman.com, or follow us on LinkedIn and X.
Job Overview:
The Analytics Application Developer is a Full Stack Software Engineer with strong experience in modern front-end development and hands-on exposure to Python and React. Ideal candidate will be responsible for creating tools and platforms that enable users to interact with data in meaningful ways bridging the gap between data analytics and software development.
***PLEASE SUBMIT CVs IN ENGLISH***
Key Responsibilities:
Contribute to the design and development of applications using MEAN/MERN (MongoDB, Express.js, Angular or React, Node.js) and Python FastAPI.
Develop and maintain applications that enable data exploration, visualization, and reporting.
Design and Familiarity with microservices and API-first development.
Develop and deploy applications with a solid understanding of container technologies (e.g., Docker, Kubernetes, or similar).
Possess strong programming skills, knowledge of data warehousing and visualization tools
Develop clean, responsive, and accessible UIs using: HTML5, CSS3, JavaScript/TypeScript, React
Optimize front-end performance for speed and scalability
Experience Required:
Bachelors degree in Computer Science, Software Engineering, or related field or equivalent practical experience with demonstrable projects.
3+ years of of professional software engineering experience.
Experience working with Python, preferably with FastAPI.
Experience working with MEAN or MERN stack (Node.js, Express.js, Angular or React, MongoDB)
Experience with both SQL and NoSQL databases
Styling: CSS, Tailwind, Bootstrap, Sass
API integrations and JSON data handling
Good understanding of Git, CI/CD pipelines, and Agile development
Experience building responsive, scalable, and cross-browser-compatible interfaces
Preferred (Good to Have)
Experience with UI component libraries (Material UI, Hero UI)
Experience working on B2B SaaS or enterprise applications
Skills and Attributes:
Excellent problem-solving and critical thinking skills required
Strong spirit of innovation, self-starter, independent, and with ability to come up with solutions to meet business problems
Self-motivated with ability to work independently while also enjoying collaboration with cross-functional teams and other analysts
Strong desire to learn new skills and pass knowledge acquired onto others
Strong relationship building skills and ability to build alignment among customers and key stakeholders with demonstrated experience influencing without authority
Ability to work effectively in a fast paced, deadline driven, highly dynamic atmosphere and react quickly to changes and shifting priorities.
Effective communication skills and ability to translate numbers into a story
Attention to detail and user-centric approach
Oliver Wyman is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow us on LinkedIn and X.
Marsh is committed to creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.
Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.




