icapitalnetwork
Analytics & Business Intelligence - Assistant Vice President
At a Glance
- Location
- United States
- Experience
- 4+ years
- Compensation
- salary range for this role is $80,000 to $100,000 depending on level and experi
- Posted
- 2026-02-17T13:08:11-05:00
Key Requirements
Required Skills
Domain Knowledge
- Finance
Benefits & Perks
yees also receive a comprehensive benefits package that includes an employer match
Requirements
2 to 4 years of experience in an data-related role
Good knowledge of SQL (dbt experienced preferred)
Good knowledge of a business intelligence tool (e.g.
Tableau, Looker, PowerBI)
Some knowledge of Python, Microsoft Excel and intermediate statistics
Interest in learning data modeling, relational databases, normalization, OLAP stores
Compensation & Benefits
The base salary range for this role is $80,000 to $100,000 depending on level and experience. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
Responsibilities
Write SQL within dbt to extract, transform, validate, and aggregate data
Create Tableau dashboards for various business teams, charting key metrics and performing exploratory data analysis
Monitor and deploy data pipelines into our orchestration infrastructure using Prefect
Drive projects to completion by gathering business requirements, implementing technical solutions, following software best engineering practices, and finally presenting on results
Work closely with our engineering, product and business teams to form a thorough understanding of our industry and evolving data model
Convert data insights into concrete, action-oriented and phased execution plans that measurably grow various business metrics over time