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# Data Analytics - Associate

- **Company:** SPAR Group
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Expert
- **Salary:** $110,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Data Analysis, Information Engineering, Relational Databases, Python (Programming Language), Machine Learning, Online Analytical Processing, Power BI, Standard Sql, Azure Machine Learning, SQL Databases, Tableau (Software), Jupyter, Gitlab, Pandas, Information Technology, Production Code, Data Analytics, Data Management, Looker Analytics
- **Published:** July 18, 2026
- **Apply:** https://www.careerjet.com/job/usb8df70e367b0a77b568b5a28004edf6c/eaa

## About the Role

* 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)

## Description

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. 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.
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 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.


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