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About the Role

iCapital seeks an Analytics Engineer Associate to drive business growth through analytics, data science, and machine learning. This role collaborates with Sales, Marketing, and Product teams to define and improve key operating metrics. The position is within the Analytics group of the Chief Data Office (CDO) team, working closely with Business Intelligence, Data Engineering, and Machine Learning teams. This technical, individual contributor role requires a blend of data engineering, data analytics, data science, and machine learning expertise, involving stakeholder interaction, technical implementation, and presentation of work.

Responsibilities

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 engineering, product and business teams to understand the 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 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.

Requirements

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 (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)

Skills

SQL
dbt
Python
pandas
Jupyter
Tableau
GitLab
Statistics
Machine Learning
Data Modeling
Relational Databases
Normalization
OLAP Stores
Business Intelligence Tools

Location

New York, NY

Work Type

Hybrid

Experience Level

5-8 years

Education Level

Bachelor's degree or higher

Salary/Compensations

$110,000 to $150,000

Benefits

Salary
Equity for all full-time employees
Annual performance bonus
Employer matched retirement plan
Generously subsidized healthcare
100% employer paid dental
Vision
Telemedicine
Virtual mental health counseling
Parental leave
Unlimited paid time off (PTO)

About the Company

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/

Equal Opportunity

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.