About Oliver Wyman
Oliver Wyman is a global leader in management consulting. With offices in 60 cities across 29 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization transformation. Our 7,000 professionals help clients optimize their business, improve their operations and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Oliver Wyman’s thought leadership is evident in our agenda-setting books, white papers, research reports, and articles in the business press. Our clients are the CEOs and executive teams of the top Global 1000 companies.
Visit our website for more details about Oliver Wyman: www.oliverwyman.com
Job Overview:
The Analytics Application Developer is a software engineer who specializes in designing, building, and maintaining applications that leverage data analysis and visualization to solve business problems and provide insights. 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
This is a hybrid role requiring 2 days per week in our Mexico City office. There is no option to be fully remote.
*PLEASE SUBMIT CVs IN ENGLISH*
* THIS IS A HYBRID ROLE THAT REQUIRES A PRESENCE IN THE OFFICE 2 DAYS PER WEEK. THERE IS NO OPTION TO BE FULLY REMOTE.*
Key Responsibilities:
Analyse datasets to identify trends, patterns, and insights relevant to business goals.
Develop and maintain applications that enable data exploration, visualization, and reporting.
Design and implement data models and ETL (Extract, Transform, Load) processes to ensure data quality and consistency.
Develop interactive dashboards and reports that effectively communicate data insights to stakeholders.
Work closely with data analysts, data engineers, and other stakeholders to understand business needs and translate them into technical solutions.
Possess strong programming skills, knowledge of data warehousing and visualization tools, and experience with various data analysis techniques.
Experience Required:
Bachelors / MS in a quantitative discipline e.g., applied mathematics, statistics, computer science, information systems or related field
3+ years of experience in data analysis techniques, statistical modelling, and machine learning
3+ years of experience working with languages like Python, R, SQL, Java, React/Angular/noje.js
3+ years of SQL/PLSQL development experience
Ability to create compelling and insightful visualizations using tools like Tableau, Power BI, or other visualization platforms
Familiarity with relational and NoSQL databases, and experience with data warehousing concepts.
Experience with multiple RMDB’s such as SQL Server, Oracle
Strong Excel, PowerPoint skills
English fluency (written and spoken) required
Skills and Attributes:
Excellent problem-solving and critical thinking skills required
Ability to drive exploration and draw conclusions from multiple data sets
Strong spirit of innovation, self-starter, independent, and with ability to come up with solutions to meet business problems
Self-directed who can interpret data to understand trends and derive meaningful business insights for senior executives with little oversight
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
Keen attention to detail with deep quantitative and analytical skills and demonstrated capacity to solve problems and enhance reporting
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
You need to be curious by nature, understand how data is produced in our various underlying systems and how reporting and analytics content is compiled so that data can be turned into actionable business insights to support the firm’s strategy
Marsh & McLennan Companies is a global professional services firm providing advice and solutions in the areas of risk, strategy and human capital. It is the parent company of a number of the world's leading risk experts and specialty consultants, including Marsh, the insurance broker and risk advisor; Guy Carpenter, the risk and reinsurance specialist; Mercer, the provider of HR and related financial advice and services; and Oliver Wyman, the management consultancy. With over 81,000 colleagues advise clients in 130 countries and annual revenue of nearly $19 billion, Marsh & McLennan Companies provides analysis, advice and transactional capabilities to clients in more than 130 countries. Its stock (ticker symbol: MMC) is listed on the New York, Chicago and London stock exchanges.
Marsh & McLennan Companies offers competitive salaries and comprehensive benefits and programs, career mobility, employee network groups, volunteer opportunities, and other programs. For more information about our company, please visit us at: www.mmc.com. We are committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people regardless of their sex/gender, marital or parental status, ethnic origin, nationality, age, background, disability, sexual orientation, gender identity, gender expression or any other characteristic protected by applicable law.