Associate

Dynamics Executive Search; New York (NY); On-site; USD 70,000 - 100,000; Full time

Job summary

Dynamics Executive Search is seeking an Associate to join its Data & Technology team in New York. This role involves developing and enhancing core data infrastructure, supporting reporting and analytics, and engaging with multiple business areas. Candidates should have 2–5 years in data roles, a relevant degree, and strong skills in SQL or Python. The position offers an opportunity to contribute to significant data and technology transformation initiatives in a fast-paced environment.

Qualifications

• 2–5 years of experience in data, analytics, or technology roles.
• Experience working with data systems, reporting tools, and APIs.
• Familiarity with data warehousing concepts.

Responsibilities

• Support development and maintenance of centralized data systems.
• Build and enhance internal tools to streamline workflows.
• Develop and maintain dashboards for internal stakeholders.

Skills

Data querying and programming languages (e.g., SQL, Python)

Strong analytical skills

Effective communication

Problem-solving skills

Collaborative approach

Education

Bachelor's or Master's degree in a quantitative or technical field

Tools

Data reporting tools

Job description

Our client is a global financial services organization supporting a broad range of investment, capital markets, and advisory activities. The firm is continuing to invest in its data and technology capabilities to enhance decision‑making, improve operational efficiency, and support a growing and increasingly complex platform. The environment is collaborative and fast‑paced, with strong interaction across business and technology teams.

Position Overview

The organization is seeking an Associate to join its Data & Technology team. This individual will play a key role in developing and enhancing core data infrastructure, internal tools, and reporting capabilities that support investment‑related and operational functions.

This position offers exposure across multiple areas of the business and requires close collaboration with both technical teams and business stakeholders.

Key Responsibilities

Data Infrastructure & Management

• Support the development and maintenance of centralized data systems and architecture
• Design and implement data pipelines to enable efficient reporting and analytics
• Ensure data quality, consistency, and accessibility across platforms

Application Development & Automation

• Build and enhance internal tools to streamline workflows and business processes
• Contribute to automation initiatives aimed at improving efficiency and scalability
• Assist in integrating systems and improving connectivity across platforms

Reporting & Analytics

• Develop and maintain dashboards and reporting solutions for internal stakeholders
• Partner with business teams to deliver insights that support decision‑making
• Support ad hoc data analysis and reporting needs

Cross‑Functional Collaboration

• Work closely with stakeholders across investment, operations, and finance teams to understand data needs
• Act as a bridge between technical teams and non‑technical users
• Contribute to best practices around data governance, process standardization, and documentation

Must Have

• 2–5 years of experience in data, analytics, or technology roles within financial services or a related industry
• Bachelor's or Master's degree in a quantitative or technical field (e.g., Computer Science, Engineering, Information Systems)
• Proficiency in data querying and programming languages (e.g., SQL, Python, or similar)
• Experience working with data systems, reporting tools, and APIs
• Familiarity with data warehousing concepts and scalable data architecture
• Exposure to application or tool development is a plus
• Understanding of financial products, markets, or investment processes preferred

Core Competencies

• Strong analytical and problem‑solving skills
• Ability to manage multiple priorities in a fast‑paced environment
• Effective communication with both technical and non‑technical stakeholders
• High attention to detail and organizational skills
• Proactive, solutions‑oriented mindset
• Collaborative approach with strong interpersonal skills

Summary

This role sits at the intersection of business and technology, supporting the development of scalable data solutions that enable more informed decision‑making across investment and operational functions. It offers broad exposure across the organization and the opportunity to contribute to ongoing data and technology transformation initiatives.