MA Lead Investment Data Analyst Marsh & McLennan Companies • Boston Hybrid · 2 days home · Boston
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Job Description
# Lead Investment Data Analyst### Job summaryBostonEngineering### Work modelHybrid · 2 days home3 days agoJob description## CompanyMercer## DescriptionWe are seeking an experienced, business-savvy professional to join Mercer Wealth's investment data function. This person will partner closely with Mercer's North America OCIO & Advisory teams to deliver high-quality, end-to-end data solutions that support multiple business units such as operations, investments, performance, business development, and trading. The role combines hands-on data engineering and analytics with leadership, stakeholder management, and delivery accountability.The successful candidate will be responsible for designing and operating robust data models, data pipelines, governance and quality processes, and for growing and mentoring a team of senior and junior data analysts that are geographically dispersed.## We will count on you to:* Lead design, development, and operationalization of end-to-end investment data solutions (ingest, transform, store, serve) that support OCIO & Advisory business needs.* Collaborate with portfolio managers, OCIO operations, risk, performance, reporting, and client teams to translate requirements into pragmatic, scalable data solutions and APIs.* Own data quality, lineage, metadata, and governance for investment datasets (reference data, positions, holdings, pricing, benchmarks, returns, exposures, allocations, transactions).* Mentor and grow a mixed-seniority analyst team and serve as the primary data contact for senior Mercer Wealth stakeholders.## What you need to have:* 10 years building end-to-end data solutions in investment / asset management / OCIO environments, supporting multiple business units.* Deep domain knowledge across master data, holdings, positions, transactions, pricing, benchmarks, returns, exposures, allocations, and corporate actions.* Strong hands-on data engineering skills (SQL required; Python or another scripting language) and experience with cloud data platforms (AWS, Azure, or Google Cloud Platform preferred).* Proven experience implementing data governance, lineage, metadata management, and data quality frameworks, plus prior people-lead or team-lead experience.## What makes you stand out:* Experience in large institutional wealth or bank environments (including proprietary funds or fund-of-funds) and familiarity with Eagle PACE / Markit EDM or equivalent.* Knowledge of investment data vendors and standards (Bloomberg, Refinitiv, SimCorp, IHS Markit, FpML, ISO 20022).* Hands-on experience with modern orchestration and transformation tools (Airflow, dbt, Spark) and data catalog/observability tools.* Cloud-native architecture, infrastructure-as-code experience, and relevant certifications (CDMP, cloud certs, CFA/CAIA, Scrum) are a plus.## 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.## About MercerMercer 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.Marsh is committed to embracing a diverse, inclusive and flexible work environment. 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.## CompensationThe applicable base salary range for this role is $108,000 to $216,000.
The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. In addition to the base salary, this position may be eligible for performance-based incentives. We offer a competitive total rewards package including health and welfare benefits, tuition assistance, 401K savings, and other retirement programs. #J-18808-Ljbffr