Pay
$122K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 321 postings in the last year. Stated ranges, not salaries paid.
New York, New York, United States of America
Open 6 months, first seen by us 195 days agoMarsh 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. The applicable base salary range for this role is $139,000 to $277,900. 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.Read the full posting
Lead design and implementation of enterprise BI architecture, data models and dashboards
Integrate Power BI with Azure Data Lake, Databricks and other data sources
Set development standards and governance policies for reports and dashboards
Identify and fix performance bottlenecks in data pipelines and queries
Produce design documentation, deployment plans and user guides
Lead the design and implementation of enterprise BI architecture, including data models, dashboards, reports, and data gateways
Architect and oversee the integration of Power BI with various data sources, including Azure Data Lake Storage, Databricks, and other cloud or on-premise data platforms.
Develop and enforce development standards, governance policies, and best practices to ensure consistency, security, and maintainability across all reports and dashboards.
Identify and address performance bottlenecks in data pipelines and queries.
Produce comprehensive design documentation, deployment plans, and user guides.
Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering or a related field.
Proficiency in DAX, Power BI Service, Power BI Embedded, and Power BI REST APIs.
Knowledge of Python, R, or other scripting languages to enhance Power BI capabilities.
5+ years of experience working within the reinsurance domain, understanding its data and reporting needs.
Understanding of information security, data privacy, and cloud security best practices.
10+ years of experience in data analytics, with extensive experience delivering enhanced data and analytical capabilities.
What you need to have: - Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering or a related field. - 5+ years of experience working within the reinsurance domain, understanding its data and reporting needs.
Open 6 monthsWe first saw this posting 195 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$122K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 321 postings in the last year. Stated ranges, not salaries paid.
Day 195
Up longer than most. Similar jobs usually come down between day 6 and day 47.
From 1,418 similar postings that came down. Coming down is not always a hire.
61 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Leveraging AI to enabling Ad Hoc and Self Serve BI capabilities - Knowledge of Python, R, or other scripting languages to enhance Power BI capabilities. - Understanding of information security, data privacy, and cloud security best practices.
- Provide subject matter expertise in the Reinsurance domain for data analytics. - Architect and oversee the integration of Power BI with various data sources, including Azure Data Lake Storage, Databricks, and other cloud or on-premise data platforms. - Define analytic solution leveraging Databricks, DBT and Power BI.
- Proven expertise in designing and implementing enterprise Power BI solutions, including data modeling, DAX, Power Query, and visualization best practices. - Strong knowledge of cloud data platforms such as Azure Data Lake, Azure Synapse Analytics, Databricks, DBT and integration with Power BI. - Familiarity with data governance, security, and compliance standards related to enterprise reporting.
- Architect and oversee the integration of Power BI with various data sources, including Azure Data Lake Storage, Databricks, and other cloud or on-premise data platforms. - Define analytic solution leveraging Databricks, DBT and Power BI. - Develop and enforce development standards, governance policies, and best practices to ensure consistency, security, and maintainability across all reports and dashboards.
- Develop and enforce development standards, governance policies, and best practices to ensure consistency, security, and maintainability across all reports and dashboards. - Support the deployment of Power BI in enterprise environments, including managing data refresh schedules, security roles, and workspace governance. - Identify and address performance bottlenecks in data pipelines and queries. Implement strategies to optimize data processing and reduce latency in data delivery
- Identify and address performance bottlenecks in data pipelines and queries. Implement strategies to optimize data processing and reduce latency in data delivery - Optimize Power BI performance by implementing best practices in data modeling, query optimization, and report design. - Produce comprehensive design documentation, deployment plans, and user guides.
- Produce comprehensive design documentation, deployment plans, and user guides. - Stay current with Power BI innovations and industry best practices, recommending improvements to enhance reporting capabilities. What you need to have:
- 10+ years of experience in data analytics, with extensive experience delivering enhanced data and analytical capabilities. - Proven expertise in designing and implementing enterprise Power BI solutions, including data modeling, DAX, Power Query, and visualization best practices. - Strong knowledge of cloud data platforms such as Azure Data Lake, Azure Synapse Analytics, Databricks, DBT and integration with Power BI.
What makes you stand out: - Proficiency in DAX, Power BI Service, Power BI Embedded, and Power BI REST APIs. - Leveraging AI to enabling Ad Hoc and Self Serve BI capabilities
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We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
As Data and Analytics Engineering Lead within our Reinsurance Data and Analytics team, you will be instrumental in designing, developing, and deploying enterprise-scale Analytics solutions that enable data-driven decision-making across the organization. You will collaborate with cross-functional teams to architect scalable, secure, and high-performance analytic environments, ensuring alignment with business needs and data governance standards.
We will count on you to:
Lead the design and implementation of enterprise BI architecture, including data models, dashboards, reports, and data gateways, ensuring optimal performance, usability, and security.
Collaborate with data engineers, analysts, and stakeholders to translate business requirements into scalable BI solutions, including data modeling, DAX calculations, and visualization best practices. Ensure adherence to data governance and compliance standards in data modeling and architecture
Provide subject matter expertise in the Reinsurance domain for data analytics.
Architect and oversee the integration of Power BI with various data sources, including Azure Data Lake Storage, Databricks, and other cloud or on-premise data platforms.
Define analytic solution leveraging Databricks, DBT and Power BI.
Develop and enforce development standards, governance policies, and best practices to ensure consistency, security, and maintainability across all reports and dashboards.
Support the deployment of Power BI in enterprise environments, including managing data refresh schedules, security roles, and workspace governance.
Identify and address performance bottlenecks in data pipelines and queries. Implement strategies to optimize data processing and reduce latency in data delivery
Optimize Power BI performance by implementing best practices in data modeling, query optimization, and report design.
Produce comprehensive design documentation, deployment plans, and user guides.
Stay current with Power BI innovations and industry best practices, recommending improvements to enhance reporting capabilities.
What you need to have:
Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering or a related field.
5+ years of experience working within the reinsurance domain, understanding its data and reporting needs.
10+ years of experience in data analytics, with extensive experience delivering enhanced data and analytical capabilities.
Proven expertise in designing and implementing enterprise Power BI solutions, including data modeling, DAX, Power Query, and visualization best practices.
Strong knowledge of cloud data platforms such as Azure Data Lake, Azure Synapse Analytics, Databricks, DBT and integration with Power BI.
Familiarity with data governance, security, and compliance standards related to enterprise reporting.
Excellent problem-solving skills and the ability to troubleshoot complex data issues.
Strong communication skills and the ability to collaborate effectively with cross-functional teams.
What makes you stand out:
Proficiency in DAX, Power BI Service, Power BI Embedded, and Power BI REST APIs.
Leveraging AI to enabling Ad Hoc and Self Serve BI capabilities
Knowledge of Python, R, or other scripting languages to enhance Power BI capabilities.
Understanding of information security, data privacy, and cloud security best practices.
Strong communication skills to collaborate with technical and non-technical stakeholders.
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.
Marsh (NYSE: MRSH) is 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 marsh.com, or follow us on LinkedIn and X.
Marsh 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@marsh.com.
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.
The applicable base salary range for this role is $139,000 to $277,900.
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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
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. The applicable base salary range for this role is $139,000 to $277,900. 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.
New York, New York, United States of America
Marsh 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@marsh.com. 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. The applicable base salary range for this role is $139,000 to $277,900.
No clear work-authorization passage found. Eligibility is unconfirmed.