Data Analysis Jobs in New York City, NY

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Looking for Data Analysis jobs in New York City, NY? Browse our curated listings with transparent salary information to find the perfect Data Analysis position in the New York City, NY area.

Digital Intel & Investigations Operations Analyst

Company: NBCUniversal

Location: New York, NY

Posted Aug 29, 2025

Monitor and analyze open-source intelligence, social media platforms, and internal security tools to identify emerging threats and risks to NBCUniversal assets.

Freelance Finance SQL Expert - AI Trainer

Company: Mindrift

Location: New York State

Posted Aug 29, 2025

Influence how future AI models understand and communicate in your field of expertise. Strengthen your SQL and data analysis skills through hands - on tasks.

ELECTRICIAN IV

Company: Brantner and Associates, Inc

Location: Redwood City, CA

Posted Sep 01, 2025

If TE determines that TE will require a license or will be prohibited by applicable laws from providing the candidate with items necessary for the performance…

Sr. Analyst, Compliance Program Effectiveness Data and Aggregation

Company: TD Bank

Location: New York, NY

Posted Aug 29, 2025

Be knowledgeable of practices and procedures within own area of responsibility and keeps abreast of emerging trends for own functional area.

Data Scientist/Machine Learning Expert

Company: Legacy Enterprise LLC

Location: New York, NY

Posted Aug 29, 2025

Familiarity with additional tools/languages (e.g., R, MATLAB, Java) for data analysis. *Machine Learning (ML) Integration*: Develop and integrate predictive ML…

Software Engineer, Frontend - SevenRooms

Company: DoorDash

Location: New York, NY

Posted Aug 29, 2025

You have a BS degree in Computer Science, similar technical field of study or equivalent professional experience with 3+ years of software engineering…

Regional Marketing Manager

Company: Blinds To Go

Location: New York, NY

Posted Aug 29, 2025

Plan and execute regional marketing strategies across multiple channels including digital, print, email, event and social media; driving retail foot traffic and…

Lead Software Engineer, Back End

Company: Capital One

Location: New York, NY

Posted Sep 01, 2025

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and…

Frequently Asked Questions

What are the typical salary ranges by seniority in Data Analysis?
Entry‑level analysts earn roughly $55,000–$75,000. Mid‑level analysts command $80,000–$110,000. Senior analysts can expect $115,000–$145,000. Lead analysts often see $150,000–$180,000, while analytics managers range $160,000–$200,000. These ranges reflect current listings on the platform.
Which skills and certifications are most valuable for Data Analysts?
Core skills: SQL, Python or R, Tableau/Power BI, Excel, statistical modeling, data wrangling, and data storytelling. Certifications that boost market value include Google Data Analytics Professional Certificate, Microsoft Certified: Data Analyst Associate, Tableau Desktop Specialist, and Snowflake SnowPro Core Certification.
How common is remote work in Data Analysis roles?
Approximately 70% of listings support remote or hybrid arrangements. Remote positions typically require reliable VPN access, data‑governance compliance, and strong communication tools. Popular remote‑friendly firms include Atlassian, Salesforce, and Twilio.
What career progression paths exist for Data Analysts?
Typical paths: Data Analyst → Senior Analyst → Analytics Lead → BI Developer/Data Engineer → Data Architect → Analytics Manager → Director of Analytics. Progression relies on deepening technical expertise, obtaining advanced certifications, and developing leadership or project‑management skills.
What industry trends are shaping the future of Data Analysis?
Real‑time streaming analytics, AI‑driven insights, and cloud data platforms (Snowflake, BigQuery, Redshift) are accelerating. Sectors like healthcare, fintech, and marketing demand data analysts who can merge machine learning with storytelling and adhere to strict data‑governance standards.

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