Data Analytics Associate, iCapital
$110-150k
+ Equity & and an annual performance bonus
More information about location
4-5 days a week in office
Fintech platform for alternative investments
Be an early applicant
Fintech platform for alternative investments
1001+ employees
Be an early applicant
$110-150k
+ Equity & and an annual performance bonus
More information about location
4-5 days a week in office
1001+ employees
Company mission
To power the world’s alternative investment marketplace.
Role
Who you are
- The ideal candidate will be able to understand complex business problems, interface with internal stakeholders, develop execution plans, implement all aspects of the project technically, and finally present on their work
- Bachelor’s degree or higher in computer science, economics, mathematics, statistics or a related technical field
- 5-8 years of experience in an data-related role
- Excellent knowledge of SQL (i.e. dbt experienced is preferred), Python and pandas
- Very good knowledge of statistics, ML models and ML services and infra
- Knowledge of data modeling, relational databases, normalization, OLAP stores
- Strong writing, communication and presentation skills
- Familiar with a business intelligence tool (e.g. Tableau, Looker, PowerBI)
- Experience in the financial services and alternative investments space is preferred
- Experience with product or marketing analytics (i.e. adoption or retention analyses, customer journey, user segmentation, CLTV and CAC calculations, conversion funnels)
What the job involves
- ICapital is looking to hire an Analytics Engineer Associate to measurably drive growth for the business teams using analytics, data science and machine learning
- This role will work with our Sales, Marketing and Product groups to define, calculate and grow their key operating metrics (i.e. sales conversion, marketing conversion, product adoption, CAC/CLTV)
- This individual will sit in the Analytics group of the broader Chief Data Office (CDO) team and work closely with the Business Intelligence, Data Engineering and Machine Learning teams
- This is a technical, individual contributor role that blends data engineering, data analytics, data science and machine learning
- Write Python and SQL (in dbt) to extract, transform, validate, and aggregate data
- Conduct exploratory data analyses, build machine learning models and develop ML infra in Jupyter and Python
- Develop statistical models and construct data-driven experiments (e.g. A/B tests)
- Visualize key metrics using Tableau
- Work closely with our engineering, product and business teams to form a thorough understanding of our industry and evolving data model
- Build data sets using dbt and SQL, visualize measures of success using Tableau, formulate exploratory data analyses using pandas and Jupyter, develop statistical and machine learning models using Python, and finally deploy production-ready code using GitLab
- Gather requirements from internal stakeholders, conduct exploratory data analyses, perform statistical inference, and deploy machine learning models to production
Our take
Alternative investing can yield huge profits, but it can often be inaccessible, even to enterprises. iCapital solves this problem by guiding large-scale businesses through the alternative investing process.
Since launching in 2013, iCapital has provided enterprises with an investing marketplace. Its focus has been on banking, wealth management, and asset management companies, and iCapital now serves clients such as JP Morgan, Evercore, and Rockefeller. As of February 2025, the company services nearly $500 billion in global client assets, clear evidence of industry confidence in the company.
iCapital's impact on the financial world is undeniable, forging strong and profitable partnerships with leading institutions like Morgan Stanley. With a proven track record, impressive funding and a rapidly growing platform, iCapital is poised for significant further expansion in the years to come.
Steph
Company Specialist at Welcome to the Jungle
Insights
42% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Jul 2025
$820m
SERIES E
Dec 2021
$50m
LATE VC
Total funding: $1.5bn
Company benefits
- Employer-matched retirement plan;
- Generously subsidised health care with 100% employer-paid dental, vision, telemedicine, and virtual mental health counselling
- Generous unlimited paid-time off (PTO) and parental leave (benefits vary by country and not all benefits are offered in every location)
Company HQ
Murray Hill, New York, NY
Leadership
Lawrence Calcano
(CEO & Chairman)Previously worked as Director of Capitol Acquisition Corp., and served as Director of Vibrant Emotional Health for 10 years.
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