Data Analytics - Associate
iCapital - Salt Lake City, Utah, United States
Posted May 20, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
-
- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- $70K-$100K From the posting source checked Jun 20, 2026
- 401(k) match
- Not verified
Was this benefit information wrong? Tell us.
Market context
- U.S. role benchmark (BLS OEWS)
- $111,944 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
24% below the BLS role benchmark for data and ml aggregate.
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
- Equity
- Offered From the posting source checked Jun 20, 2026
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Data Analytics - Associate Salt Lake City, Utah, United States iCapital is looking to hire a Data and Analytics, Associate to measurably drive growth for the Operations and Investment Management (OIPM) group at iCapital. This role involves defining and calculating operational KPIs, transforming raw source data into processed business data, creating live dashboards to monitor performance, identifying driver metrics and statistical correlations, and finally working with business teams to enable data-driven change. This individual will sit in the Analytics group of the broader Data and Analytics team within Technology and will work closely with the Data Engineering group. On the technical side, this role will interface with the data stack of Airbyte, Snowflake, dbt, Prefect, Python and Tableau, among others. On the business side, this role will work with the Operations teams to produce management visibility, efficiency improvements and workflow automation. Ideal candidates will be highly proficient in our technical tooling, understand complex business problems, interface with senior stakeholders, develop execution plans, and finally present on their work. 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 the orchestration infrastructure using Prefect. - Drive projects to completion by gathering business requirements, implementing technical solutions, following software best engineering practices, and presenting on results. - Work closely with the Engineering, Product and Business teams to form a thorough understanding of the industry and evolving
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