Institutional Client Insights Analyst

MetLife

Whippany (NJ)

Hybrid

USD 75,000 - 80,000

Full time

14 days+

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Benefits offered by this job

Medical & vision
Dental
Life insurance
401(k) with match
Paid time off
Parental leave
Disability insurance
Tuition assistance

Job summary

MetLife Investment Management (MIM) is seeking an Analyst to support the Global Client Group with data-driven insights and performance analytics. You will partner with leadership to enhance decision-making, optimize sales performance, and advance AI-enabled solutions across institutional client activities.

You will analyze sales data, AUM, flows, and client trends; develop dashboards; manage pipeline analytics; and translate complex data into executive-ready recommendations to drive growth.

Qualifications

  • Strong analytical, problem-solving, and data management skills with experience handling large datasets.
  • Proficiency with AI tools, Excel, PowerPoint, Word, and data visualization platforms such as Power BI or Tableau.
  • Experience with CRM systems (preferably Salesforce) and pipeline reporting and analytics.

Responsibilities

  • Analyze sales performance, pipeline activity, AUM, flows, and client trends to identify risks, opportunities, and insights.
  • Lead end-to-end reporting and analytics, delivering accurate, timely, and executive-ready BI.
  • Develop dashboards, reporting tools, and trackers to improve visibility and decision-making.

Skills

Analytical skills
Excel
PowerPoint
Word
Power BI/Tableau
Salesforce

Tools

Salesforce
Power BI
Tableau
SQL
Python
Alteryx
Power Query

Job description

MetLife Investment Management (MIM) is seeking an Analyst to support the Global Client Group with data-driven insights and performance analytics. You will partner with leadership to enhance decision-making, optimize sales performance, and advance AI-enabled solutions across institutional client activities.

You will analyze sales data, AUM, flows, and client trends; develop dashboards; manage pipeline analytics; and translate complex data into executive-ready recommendations to drive growth.

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