Data Analyst

Your role and responsibilities:

• We want to hear about how you’ve optimally prioritized, planned, and completed research projects pertaining to data analysis and investment data in the past. You’ll enjoy engaging across departments and have a curiosity about optimally handling stakeholder and client relationships by consulting them for their input, expertly addressing their needs, and informing them of issues and progress. You’ll serve as a guide on institutional investment and eVestment data, providing triage on problems and educating clients and colleagues alike on how to understand data points and our methodology. You will step in to assist your peers and our clients when they have questions, and possess the innate curiosity required to seek out an answer when you don’t have one.
• What it isn’t: It is not linear, nor is it task-focused. If you are most effective in a highly structured setting with well-defined, prescribed steps in sequential order, you are likely to feel frustrated with continuously shifting priorities in the highly agile environment we offer. This role isn’t a pure data analysis or modeling role where you’ll spend most of your time in front of a computer screen working independently. While these are elements of the role, this role will be very interactive and clear. We love technology, data, and metrics, as well as client interactions. This role isn’t routine or unhurried. If you prefer relaxed, quiet days or don’t have a well-developed sense of urgency, it would be best to pass on us and keep looking!

We expect you to have:

• Contact data collection with at least 2-3 years experience
• Expertise in institutional investment, equity, fixed income, and alternative investments!
• Shown success in professional and academic fields, leadership, and service.
• Passionate about finance, investing, and data; eager to learn industry trends and certifications.
• Excellent social skills for training, handling inquiries, and difficult client conversations.
• Expertise in Microsoft Excel (Macros, pivot tables, formulas).
• Analytical and data-driven; adept at interpreting and summarizing large datasets.
• Servant leader; prioritizes supporting colleagues and their success.

Does it sound like you?
As the selection process is ongoing, please submit your application as soon as possible. We will get back to you in short order.

• Have a CFA or CAIA
• Know SQL and PowerBI
• Experience with eVestment or with Institutional Asset Management (e.g. with an asset manager, consultant, investor, or financial data provider) is a plus

Come as You Are

Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.