Company:Oliver WymanDescription:About Oliver WymanOliver Wyman, a Marsh (NYSE: MRSH) business, is a management consulting firm driven by deep industry insight, bold innovation, and a collaborative approach that cuts through complexity to help organizations navigate their most defining transformative moments.For more information, visit oliverwyman.com, or follow us on LinkedIn and X. Job Overview:We are seeking an experienced Advanced Analytics Engineer to design and build scalable data solutions that support advanced analytics, machine learning, and AI initiatives. This role focuses on developing data pipelines and workflows for structured and unstructured data using Databricks, Python, and PySpark. The ideal candidate is passionate about modern data platforms, distributed computing, API integrations, and enabling data-driven innovation across the organization.Key Responsibilities:Design, develop, and optimize scalable data pipelines using PySpark and DatabricksBuild workflows to ingest, process, and transform structured and unstructured dataDevelop data models and reusable datasets for analytics and AI use casesIntegrate external systems and enterprise platforms through APIs and modern data interfacesCollaborate with AI engineers and platform teams to support MCP (Model Context Protocol) integrations and AI-driven workflowsCollaborate with data scientists, AI engineers, and business stakeholders to support advanced analytics initiativesImplement data quality, governance, monitoring, and observability best practicesOptimize performance and scalability of distributed data processing environmentsSupport batch and real-time data processing architecturesContribute to CI/CD pipelines and DataOps best practicesDocument technical solutions, workflows, and operational proceduresExperience Required:2+ years of experience in Data Engineering, Analytics Engineering, or related rolesStrong hands-on experience with Python, PySpark, Databricks, and SQLExperience designing and developing scalable ETL/ELT pipelines and distributed data processing solutionsExperience working with structured, semi-structured, and unstructured dataExperience building and integrating APIs and enterprise data servicesExperience supporting advanced analytics, AI, or machine learning initiativesStrong understanding of modern lakehouse and cloud-based data architecturesExperience with workflow orchestration, automation, and CI/CD pipelinesFamiliarity with cloud platforms such as AWS, Azure, or GCPExperience with streaming and real-time processing technologies is a plusKnowledge of MCP integrations and AI-driven workflow architectures is a plusSkills and Attributes:Excellent problem-solving and analytical thinking skills with ability to solve complex data challengesStrong ability to design scalable and efficient data solutions in fast-paced environmentsSelf-starter with strong ownership mindset and ability to work independently with minimal supervisionStrong curiosity and desire to learn emerging technologies and modern data/AI practicesAbility to interpret data trends and generate actionable insights for technical and business stakeholdersStrong collaboration skills with ability to work effectively across engineering, analytics, AI, and business teamsEffective communication skills with ability to explain technical concepts to non-technical audiencesStrong attention to detail with focus on data quality, reliability, and operational excellenceAbility to manage multiple priorities and adapt quickly to changing business needsStrong relationship-building skills and ability to influence stakeholders across the organizationPassion for innovation, automation, and continuous improvementAbility to thrive in highly dynamic and evolving technology environmentsOliver 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.