regulatory capital ratio methods, extreme tail event stress testing and economic scenario generator (ESG). • Leads efforts to automate the data flow, calculation and production of regular investment risk reports for seni…
Data Analyst jobs in New York, NY
Data analysts answer business questions with data — writing SQL, building dashboards, and turning metrics into clear recommendations for teams that need to make a call.
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Open data analyst roles
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Global Corporate & Investment Banking (GCIB) data management program is one of the pivotal programs supporting business’ growth plans and to strengthen its control framework. This role requires a structured execution app…
ManagementCompany: American ExpressDescriptionAs part of the Finance Data Office (FDO) within Corporate Controllership, this role is... ...making, and accounting across various finance processes.As a FDO Analyst, you wil…
has a client that is seeking a ServiceNow & Power BI Reporting Analyst in New York, NY.Summary:We are seeking a highly analytical and technically... .... The ideal candidate will have strong experience with data visualiz…
works for you. Send us your CV to receive a personalized offer.Find me a jobWe are seeking an experienced Senior Calypso Business Analyst to join a dynamic technology team supporting front-to-back capital markets process…
Job Title: Data Analyst Location: Manhattan, NY(Hybrid) Duration: / Term: C2C Experience Desired: 5+ Years Job Description: Role Overview The Data Analyst will analyze payment and enterprise data to support reporting, da…
Are you a data- driven strategist with a passion for transforming complex insights into impactful business decisions? We are looking for a Senior Marketing Analyst who is both technically deep and business-minded. This r…
Description The NBCU Digital Media Sales Local Inventory & Analytics team is seeking a highly analytical and self-motivated Data Analyst to join our team. You will be responsible for creating, maintaining, troubleshootin…
Data Analyst – Business Insights New York, New York, United States This organization is a global communications solutions provider offering a comprehensive suite of fully managed services focused on secure connectivity,…
destiny and pathway that fuels you each day and drives you to deliver the best results for yourself as well as your clients. As a Data Analyst, you will act as a strategic partner to your clients and media team, solving…
Job Responsibilities: Partner with teams within Product Operations, the broader Global Operations organization, Data Science, Data Engineering, Product and Engineering teams to solve problems and identify trends and oppo…
truth in global media and we need your help adding fuel to the fire. About the Role Polymarket is looking for a Senior Data Scientist / Analyst to be the analytical partner to our product team and the person who can say…
What data analysts earn in New York
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $35–$51 | $73k–$106k |
| Mid level | $51–$67 | $106k–$139k |
| Senior | $63–$86 | $132k–$178k |
Adjusted for the New York market from national ranges.
What employers ask for
The skills these listings keep naming
Interview questions worth rehearsing
With the thing the interviewer is actually listening for
A metric dropped 15% week over week. How do you investigate?
Segment first — by platform, region, source — and check for data issues before assuming a real change. A methodical decomposition is exactly what they want.
Walk me through a dashboard or report you built that people actually used.
Focus on the decision it supported and how you designed for the audience. Adoption is the success metric, not chart count.
How comfortable are you with SQL? Describe a complex query you wrote.
Mention joins, window functions, or CTEs in the context of a real question. Expect a live exercise, so pick an example you can reconstruct.
A stakeholder wants data that supports a conclusion they already hold. What do you do?
Show that you present what the data says, frame caveats respectfully, and stay useful without becoming a rubber stamp.
How do you check whether your analysis is correct before sharing it?
Talk about sanity checks against known totals, replicating with a second method, and having someone review the logic. Self-QA habits separate reliable analysts.
Correlation versus causation — give a business example where it matters.
Use a concrete case, like ice cream and sunburn or a marketing example, and mention what would move you toward causal confidence, such as an experiment.
Resume tips that move the needle
For data analysts specifically — generic advice costs you here
Tie each analysis to the decision or dollar outcome it drove — 'identified churn segment worth $400K in retained revenue' is the format that works.
List SQL first and honestly grade your level; it is the single most tested skill for this role.
Name the BI tools you have shipped dashboards in, and how many people relied on them.
Show domain context (e-commerce, SaaS, healthcare) because analysts are hired into a business, not just a toolset.
A small portfolio of public analyses with clear write-ups can offset limited job experience.
Where this role goes
Typical progression
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