We are seeking a talented individual to join our Data Strategy team at Guy Carpenter. This role will be based in New York, NY; Boston, MA or Philadelphia, PA. This is a hybrid role that has a requirement of working at least three days a week in the office.
The GC Data Strategy team builds and supports data assets and products within Guy Carpenter, Marsh McLennan's reinsurance brokerage. The Senior Analytics Engineer will work with Data Strategy data engineers, data scientists, product managers, and stakeholders from other Guy Carpenter teams to provide business value and increase the efficiency of our internal colleagues. This technical leadership role involves leading a startup-like team of 3-5 data practitioners with a product manager. The Senior Analytics Engineer will help guide the development of data pipelines, applications, dashboards, and machine-learning models while sharing responsibility for direct (internal) customer engagement.
We'll count on you for:
Data analytics: Work with clients and colleagues to determine their high-impact data challenges. Conduct exploratory analysis with business understanding and technical expertise, culminating in data product solution designs.
Data engineering: Work with other engineers to create or improve data pipelines, dashboards, web applications, or other technologies to action identified needs with maximum ROI. Stay current on analytics technology and proactively identify new options for creating business value.
Leadership: Lead a team of data engineers/analysts/scientists, providing technical guidance and career development, and foster a collaborative, high-performance work environment. Work with the PM to plan and prioritize work based on business objectives and timelines.
What you need to have:
5+ years of experience as a data analyst, analytics engineer, or similar
2+ years of experience with data modeling (preferably with dbt)
1+ years of leading a data team with a proven track record of deploying data products
Strong proficiency in SQL and Python
Working knowledge of ETL/ELT and REST API principles and schema design across source systems, data lakes, and dashboards
Familiarity with machine learning techniques and productization/MLOps
Experience with Databricks or other equivalent MPP tools like Snowflake or BigQuery
Bachelor’s degree, preferably in a technical and quantitative discipline
Familiarity with data reporting and visualization tools such as PowerBI, Tableau, or Looker
Experience delivering analytic tools or applications to semi- or non-technical users
What makes you standout:
Experience with natural language processing
Experience on a high-performing data team at a technology, consulting, or start-up company
Insurance knowledge or strong interest in building insurance domain knowledge
Why join our team:
We help you be your best through professional development opportunities, interesting work and supportive leaders.
We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.
Guy Carpenter, a business of Marsh McLennan (NYSE: MMC), is a leading global risk advisory and reinsurance specialist and broker. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit guycarp.com, or follow on LinkedIn and X.
Marsh McLennan is committed to embracing 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, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@mmc.com.
Marsh McLennan 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 McLennan 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.
The applicable base salary range for this role is $94,700 to $170,300.
The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives.
We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs.