commerce at the intersection of technology, culture, and taste, we’d love to meet you. Who You Are We’re looking for a Senior Data Analyst to join ShopMy’s growing Data & Analytics team and become a dedicated analytics p…
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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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 Description Job Description Apply now: Data Analyst, Hybrid ( New York, NY). Start date is ASAP for this 6-month contract position. Job Title: Data Analyst Location-Type: Hybrid, New York, NY 10019 Start Date: ASAP D…
Data Quality Analyst Location: New York, NY 10172 Work Arrangement: Hybrid Employment Type: Contract Pay Rate: $69.00/hour on W-2 Position Summary SMBC is seeking a Data Quality Analyst to manage and support the resoluti…
of communication. The Role A Market Insights Research Analyst is responsible for supporting our Global Market Strategists in conducting... ...for a weekly Canada economic brief, with commentary focused on data releases,…
Careerscape is recruiting on behalf of our client, a growing New York-based organization, for a Junior Data Analyst to join their analytics team. This fully remote role is a great fit for someone early in their career wh…
using AI to scale that impact further and faster than anyone else can. About the role: We are seeking an exceptional AI-Native Data Analyst to join Garner and drive how data shapes business decisions at scale. You'll be…
Job Description Job Description FocusKPI is seeking a Data Analyst to join one of our clients, a multinational e-commerce company. Work Location: Onsite (New York, NY) Duration: 5 months (till end of this year) Pay rate:…
advanced Excel workbooks — formulas, pivot tables, lookups, dashboards, and reporting templates Analyze operational and financial data to spot trends, catch errors, and surface insights that help leadership make decision…
Role Polymarket's Marketing team owns growth, acquisition, and retention — we move fast and make decisions based on data. As our Growth Data Analyst, you'll own the data layer for everything marketing touches: building d…
and Rainfall Ventures. Alma was also named one of Inc's Best Workplaces in 2022 and 2023. Candidate Interview Guide As a Data Analyst II at Alma, you will help the BI team and Alma accomplish its mission of providing acc…
their financial goals. Morgan Stanley is seeking a highly motivated professional with financial industry experience to join a data analytics and artificial intelligence team within the Prime Brokerage and Funding Technol…
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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