Finance Data & Operations Analyst | SQL & QA for Client Feeds

ISS | Institutional Shareholder Services; United States; Hybrid; USD 65,000 - 90,000; Full time

Benefits offered by this job

Medical, Dental, and Vision coverage

401(k) with company match

FSA and commuter benefit programs

Paid time off

Volunteer Day

Paid parental leave

Hybrid working options

Job summary

ISS STOXX is seeking an Enterprise Data and Operations Analyst to support day-to-day data processing, QA checks, and client requests using SQL and Excel.

You will collaborate with the Implementation Team, manage projects in JIRA, and help identify market trends from a data perspective in the retirement/investment space.

The role emphasizes teamwork, rapid learning, and precise data handling within a fast-paced environment.

Qualifications

• Bachelor’s degree in a business/data field or related experience.
• 0–2 years of relevant experience.
• Knowledge in SQL (reading/writing queries; beginner to intermediate).
• MS Office (Excel, Word, PowerPoint) proficient.
• Strong attention to detail and ability to work under tight deadlines.
• Strong verbal and written communication skills.

Responsibilities

• Conduct data assessments and deliver analysis to clients using SQL and Excel.
• Communicate and support clients regarding data processing needs.
• Create and maintain QA checks on all incoming files and outgoing client feeds.
• Partner with Implementation Team to onboard new clients.
• Utilize JIRA to manage projects and coordinate with Development and Client Engagement.
• Use quantitative methods to identify market trends for informed decisions.
• Develop understanding of Retirement/Investment data perspectives.
• Maintain Sales Reporting and Nexus.

Skills

SQL

MS Office

Communication

Teamwork

Fast learner

Education

Bachelor’s Degree in Finance, Economics, Math, Business Analytics, Computer Science, or related fields

Tools

Python

Job description

ISS STOXX is seeking an Enterprise Data and Operations Analyst to support day-to-day data processing, QA checks, and client requests using SQL and Excel.

You will collaborate with the Implementation Team, manage projects in JIRA, and help identify market trends from a data perspective in the retirement/investment space.

The role emphasizes teamwork, rapid learning, and precise data handling within a fast-paced environment.