Senior Analytics & Reporting Lead: Enterprise Data
Corient Private Wealth LLC.
Miami (FL)
On-site
USD 80,000 - 120,000
Full time
14 days+
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Benefits offered by this job
401(k) Plan with Employer Matching
Medicare and Medical Plan options
Employer paid Dental, Vision & Life Insurance
Paid Maternity & Parental Leave
Flexible Spending Accounts
Commuter & Transit FSA
Training Reimbursement
Corporate Discount Program
Job summary
Corient Private Wealth LLC. in Miami is seeking an Analytics and Reporting Manager to lead a team focused on delivering reliable data insights for financial and regulatory reporting. The ideal candidate will have extensive experience in analytics, team management, and enterprise reporting within financial services. Responsibilities include overseeing the production of dashboards and reports, ensuring data accuracy and compliance, and translating stakeholder needs into actionable data specifications. A strong academic background in a quantitative discipline is necessary.
Qualifications
4-6+ years of experience in analytics or reporting roles.
2-3+ years of experience managing teams in complex environments.
Hands-on experience in enterprise reporting at a Financial Services firm.
Responsibilities
Lead the Analytics and Reporting team managing data analysts.
Own delivery of data products for management and financial reporting.
Ensure data outputs are accurate and trustworthy.
Skills
SQL
Tableau
Data Modeling
Data Quality Frameworks
Analytical Skills
Problem-Solving
Critical Thinking
Effective Communication
Education
Distinguished academic track record in a quantitative discipline
Tools
DBT
Job description
Corient Private Wealth LLC. in Miami is seeking an Analytics and Reporting Manager to lead a team focused on delivering reliable data insights for financial and regulatory reporting. The ideal candidate will have extensive experience in analytics, team management, and enterprise reporting within financial services. Responsibilities include overseeing the production of dashboards and reports, ensuring data accuracy and compliance, and translating stakeholder needs into actionable data specifications. A strong academic background in a quantitative discipline is necessary.