Analyst, Digital Solutions & Enablement

Commonfund•Norwalk, CT

10h•Onsite

About The Position

The Digital Solutions & Enablement team serves as the central hub for executing strategic technology initiatives across Commonfund's investment management businesses. We partner with business stakeholders to identify opportunities, design solutions, and deliver them from concept through implementation. We are seeking a technically skilled recent graduate with a foundation in data science, computer science, or engineering who is interested in applying their expertise to identify digital solutions to optimize business operations across Commonfund. You'll partner with teams across the firm to learn their processes, uncover common pain points, and help deliver shared solutions that improve data accuracy and insights at scale. This position is based in our Norwalk, CT office.

Requirements

BA/BS in a quantitative discipline (Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field)
Coursework or project experience with BI and analytics applications (Tableau, Power BI, etc.), programming (Python/R, SQL, etc.), and databases (MS SQL Server, AWS, etc.)
Self motivated team player, comfortable working within a dynamic business environment, juggling multiple responsibilities and pivoting to new challenges/priorities as they arise
Curious and collaborative, with a desire to learn how different teams operate and an eye for identifying common challenges that can be solved through shared solutions
Enjoys problem solving and being "the glue" between business challenges/opportunities and delivering results
Foundational understanding of databases, data flows, and how data relates across various sources
Strong communicator who can build collaborative relationships across business and IT teams
Proactive and resourceful, comfortable working through ambiguity and crafting solutions with limited guidance

Nice To Haves

Finance course work a plus but not required
Internship or project experience in data science, business intelligence, or analytics
Exposure to machine learning (ML) models or AI implementation through coursework, personal projects, or internships
Interest in or exposure to institutional investment management, asset management, or financial services
Familiarity with data governance, data management, or MDM concepts

Responsibilities

Support the development and testing of machine learning models to address business problems (e.g., forecasting, classification, anomaly detection, NLP)
Assist in building and maintaining data pipelines for model training, feature engineering, and deployment
Research emerging AI/ML tools, platforms, and techniques and summarize findings for the team
Help monitor model performance and flag issues or opportunities for improvement
Build and maintain dashboards, reports, and visualizations using BI tools (Tableau, Power BI, etc.) to support business decision making
Analyze data across multiple sources to identify trends, surface insights, and support business cases
Work with databases and data flows to ensure accurate, reliable reporting
Apply a data driven, user centered approach to delivering information that meets business user needs
Participate in discovery sessions to understand pain points, workflows, and requirements
Help translate business challenges into clear problem statements and technical requirements
Research and evaluate technology solutions, contributing to comparative analyses and recommendations
Support communication between business stakeholders and IT to ensure solutions are feasible and aligned