Blue Owl Capital
Private Wealth, Sales Reporting & Business Analyst - Associate
New York City, NY, USA · Mid
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$5,835 more — $115,835 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $115,835 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Data Scientists" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · New York-Newark-Jersey City, NY-NJ. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- The role requires advanced analytical skills, strong attention to detail, and the ability to reconcile large amounts of raw data across multiple systems.
- This position provides a unique opportunity to gain exposure to senior leadership and provide strategic analysis at a rapidly growing firm.
Responsibilities
- Develop, maintain, and enhance existing sales reports and dashboards to support business strategy and decision making
- Perform ad hoc analysis and effectively communicate trends and insights that inform business decisions to key stakeholders
- Establish consistent and repeatable processes, gather business requirements, create documentation, and help build tools to automate repetitive tasks across the Private Wealth organization
- Collaborate closely with cross-functional teams to ensure consistency of reporting and drive a culture of self-service and actionable analytics.
- Anchored by a strong permanent capital base, we provide businesses with private capital solutions to drive long-term growth and offer institutional investors, individual investors, and insurance companies differentiated alternative investment opportunities that aim to deliver strong performance, risk-adjusted returns, and capital preservation.
Requirements
- Bachelor's degree or equivalent required in Finance, Information Technology, Management Information Systems, Business Administration, Economics, Mathematics, or a related discipline.
- 2-4 years of experience in a business intelligence, data analytics, or similar, role within a high growth environment
- Proficiency in SQL
- demonstrated ability to extract meaningful insight from raw data
- Strong analytical mindset, problem-solving skills, and attention to detail
- ability to create actionable and compelling data visualizations
- Exceptional interpersonal and organizational skills
- ability to manage multiple projects, prioritize tasks, meet deadlines, and communicate effectively with non-technical stakeholders
Nice to have
- Asset management or financial services experience preferred
- Experience with Tableau or similar BI tool
- CRM Analytics (CRMA) experience is a plus
- Experience with Salesforce or other CRM systems preferred
- Highly proficient in Microsoft Word, Excel, and PowerPoint
- VBA experience is a plus.
Compensation
- The base annual salary range for this New York-based position will be $110,000 to $130,000.
Benefits
- Together with over 1,390 experienced professionals globally, Blue Owl brings the vision and discipline to create the exceptional.
This listing is sourced directly from Blue Owl Capital's careers page and normalized into a canonical job model.