Senior Analytics Engineer, Data Strategy

New York - 1166

Marsh McLennan

Marsh McLennan is the world’s leading professional services firm in risk, strategy and people. We bring together experts from across our four global businesses — Marsh, Guy Carpenter, Mercer and Oliver Wyman — to help make organizations more...

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Company:

Guy Carpenter

Description:

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 Data Strategy team is a multidisciplinary team that aims to cultivate and build on the data assets across all functions and lines of business globally within Guy Carpenter, Marsh McLennan's reinsurance brokerage. The Senior Analytics Engineer bridges data engineering and data science, where expertise lies in the knowledge of the underlying data and its analysis, transformation, and visualization. This position directs how data will be used in pipelining, applications, decision-making, and machine-learning models while sharing responsibilities with product managers in direct customer engagement.

We'll count on you to:

  • Work with stakeholders to define their data challenges and business needs, and drive the integration and adoption of our data products.

  • Conduct exploratory data analysis and provide deep understanding of our business with conclusions and recommendations that show a high level of critical thinking

  • Critically analyze data and identify trends, such as spotting user behavior patterns to inform product improvements, while also demonstrating a basic understanding of product design and user experience.

  • Work with the development teams and the product managers to design and implement new features based on user feedback.

  • Remain current on analytics technology innovations and identify how they can create business value.

What you need to have:

  • 5+ years of experience as a data analyst or analytics engineer and 2+ years of experience with data modeling (preferably in dbt)

  • Strong proficiency in SQL and Python; Familiarity with machine learning, in particular natural language processing

  • Working knowledge of ETL/ELT and REST API principles, and schema design across source systems, data lakes, and dashboards

  • Experience with cloud data platforms such as Azure Data Lake, Databricks, or other equivalent MPP tools like Snowflake or BigQuery; Familiarity with data reporting and visualization tools such as PowerBI, Tableau, or Looker

What makes you stand out:

  • Experience on a high-performing data team at a technology, consulting, or start-up company

  • Experience delivering either client-facing analytic tools or applications

  • 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 $23 billion and more than 85,000 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.

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Tags: APIs Azure BigQuery Consulting Data analysis Databricks Data strategy dbt EDA ELT Engineering ETL Looker Machine Learning MPP NLP Power BI Python REST API Snowflake SQL Tableau

Perks/benefits: Career development Competitive pay Flex hours Health care Insurance Startup environment

Regions: Remote/Anywhere North America
Country: United States

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