Data Analysis Jobs in USA

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Looking for Data Analysis jobs in USA? Browse our curated listings with transparent salary information to find the perfect Data Analysis position in the USA area.

Data Scientist (L5) - Promotional Media Measurement Science

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The Promotional Media Measurement Science team conducts research and develops metrics to improve promotional assets and member engagement. The team seeks a senior data scientist to drive technical innovation and produce business impact by developing models, metrics, and insights to optimize promotional assets.

Director - Growth Data Engineering

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix's job posting highlights leading entertainment services, team leadership in data engineering, competitive compensation, comprehensive benefits, and commitment to inclusion and diversity.

Software Engineer (L5) - Open Connect Platform

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The company is responsible for a significant portion of global internet traffic and works collaboratively with ISPs to deliver content efficiently. Netflix is looking for a talented software engineer to join their team and work on impactful availability, scalability, and usability challenges for their Open Connect platform.

Data Engineering Manager - Ads

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. They offer a wide variety of TV series, films, and games across multiple genres and languages. Netflix recently added an advertisement branch to their business, making their service accessible to a broader member base with ad-supported plans. The Ads data engineering team focuses on building centralized and large-scale datasets to support the overall goals of their Ads data initiatives.

Senior Product Designer - Enterprise XD

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a global entertainment company that aspires to entertain the world by innovating on how entertainment is imagined, created, and delivered. The company is expanding its business in new ways to serve its global members, including evolving how it offers best-in-class entertainment content and new forms of entertainment like games and live events. Netflix leverages vast data sets and cutting-edge AI technology to improve operational workflows and enhance content decision-making. The role described is for a Senior Designer on the Enterprise Experience Design team, which focuses on developing products to help Netflix and its partners plan, produce, launch, and promote the best content for its members at a global scale.

Senior Design Engineer

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is seeking a Design Engineer to help advance their mission of entertaining the world. The role involves leveraging design and engineering skills to create high-fidelity prototypes, tools, and services that accelerate the product development lifecycle. The ideal candidate should have 7+ years of experience with JavaScript, TypeScript, React, and Node.js, and a portfolio showcasing thoughtful UX interaction design.

Product Manager - Games Developer Tools

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is expanding its games division with opportunities to develop developer tools and grow its Games on TV product globally. The role combines product management with developer advocacy, requiring strategic collaboration and technical expertise. The company offers competitive compensation and comprehensive benefits.

Machine Learning Engineer (L5 - Senior) , Ads Inventory Management & Forecasting

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. They recently launched an ads-supported tier to attract new members and advertisers. The Ads Platform Engineering team builds advertising systems and integrations to deliver ads using Netflix's content delivery ecosystem. They seek highly motivated engineers to join their team and build unique value propositions in the rapidly growing Connected TV advertising space.

Engineering Manager - Ads Campaign Management

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. They recently launched an adsupported tier and are building an inhouse ad tech ecosystem. The Ads Platform team is dedicated to creating a worldclass advertising ecosystem and is seeking a people manager to lead initiatives and build a dream team.

Software Engineer L4 - iOS, Shared Client Foundations

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The Shared Client Foundations team builds UI architecture and frameworks for iOS, Android, TV, and Web platforms. They focus on creating cross-platform data access architecture, server-driven UI architecture, and frameworks for feature configuration-based UI development. The team values self-motivated engineers with a passion for building solutions rooted in business and customer needs.

Staff Product Designer - Cloud Infrastructure

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The company is seeking a Staff Product Designer to drive the future of cloud infrastructure experiences at Netflix. The role involves designing intuitive visualizations and interfaces for complex infrastructure systems, shaping critical initiatives, and collaborating with product managers and engineers.

Site Reliability Engineer (L4/L5) - Netflix Ads

Company: Netflix

Location: USA

Posted Nov 17, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The Ads Reliability Engineering SRE team is responsible for ensuring the stability, resilience, and scalability of the critical systems powering the Netflix Ad Suite. The role involves designing and maintaining scalable infrastructure, collaborating with engineering and product teams, developing automation tools, and championing a culture of reliability.

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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