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.

Director of AI Engineering

Company: Apollo.io

Location: USA

Posted Nov 22, 2025

Apollo.io is a fast-growing AI-native GTM platform used by millions of professionals. They are hiring a Director of AI Engineering to lead the strategy, execution, and integration of AI systems across the company. The role involves defining the AI roadmap, building agentic systems, AI assistants, search and personalization, and leading a world-class AI engineering team.

AI Image Optimization Lead

Company: Gametime United

Location: USA

Posted Nov 22, 2025

This job description outlines a role focused on leveraging Generative AI to enhance platform engagement and conversion through image optimization. It details responsibilities like AB testing, system design, and visual strategy, along with required technical and leadership skills. The position offers competitive compensation and benefits.

Education Community Success Manager

Company: Splice

Location: USA

Posted Nov 22, 2025

The Education Community Success Manager role at Splice involves developing relationships with educators, managing accounts, providing training, and fostering a community. Splice is a creative platform for music production with a subscription service and AI tools. The company values collaboration, remote work, and a unified approach.

Senior Social Content Producer

Company: Storm Ideas

Location: USA

Posted Nov 23, 2025

This job offers remote work with AI tools in a fast-paced environment, requiring creativity and adaptability. It highlights innovation and collaboration opportunities while emphasizing skill development and a supportive team culture.

Engineering Manager – Growth

Company: Kraken

Location: USA

Posted Nov 22, 2025

Kraken is a mission-focused crypto company with a world-class team dedicated to accelerating global adoption of crypto for financial freedom and inclusion. They offer industry-leading security, education, and client support through products like Kraken Pro, Desktop Wallet, and Kraken Futures. The Growth Engineering team builds experiences that connect people to their ecosystem and drive user acquisition, activation, and retention.

Product Marketer - Platform Marketing

Company: HubSpot

Location: USA

Posted Nov 22, 2025

This job description outlines a role within HubSpots Platform Marketing team, focusing on ecosystem growth through product marketing and project management. The position requires strategic storytelling, cross-functional coordination, and ownership of communications for app partners and developers. Key responsibilities include managing launch campaigns, roadmap coordination, and process optimization. The role emphasizes skills in product marketing, project management, and data-driven decision making, with compensation ranging from $88,000 to $132,000.

Global Marketing Operations Manager

Company: Saviynt

Location: USA

Posted Nov 22, 2025

The role is for a proactive, data-driven Global Marketing Operations Manager to streamline processes, improve automation, and power smarter decision-making across the global marketing organization. The ideal candidate will have 3-5 years of experience in Marketing Operations, Marketing Automation, or RevOps, strong Salesforce admin skills, experience owning HubSpot end-to-end, and exposure to Outreach, LeanData, or similar tools. The role involves Salesforce and Revenue Analytics, Marketing Automation and HubSpot Leadership, Insight-Driven Reporting, Process Optimization, and Cross-Team Collaboration.

Assistant Director - Data Science, Modeling Sophistication

Company: Liberty Mutual Insurance

Location: USA

Posted Nov 23, 2025

The Insights & Solutions group at Liberty Mutual uses data analytics and technology to deliver innovative solutions for the US Retail Markets business. The Modeling Sophistication Deep Learning Research team applies cutting-edge computer vision and deep learning to assess risk, design products, and serve customers. As a Data Scientist, you will work with a multidisciplinary team to design, develop, and deploy computer vision and deep learning models, collaborate with business stakeholders, and contribute to methodological advancements and scientific collaboration.

Everboarding Programs Manager

Company: OpenTable

Location: USA

Posted Nov 22, 2025

OpenTable, a leader in the restaurant industry, is seeking a Program Manager to join their RSS Enablement team. The role involves designing and managing training programs for sales and service teams to optimize performance and drive company growth. The ideal candidate should have experience in program management, sales enablement, and SaaS companies, with a strong track record in building and managing high-impact enablement programs.

Enterprise Data Engagement & Communications Leader

Company: Liberty Mutual Insurance

Location: USA

Posted Nov 22, 2025

The role is for an Engagement and Communications Leader in the Enterprise Data & Data Science department at Liberty Mutual. The position involves leading strategic initiatives, communications, and community engagement to cultivate high-performing data professionals. Success is measured by consistent delivery, high adoption and engagement, clear communication, and the ability to navigate ambiguity.

Director of User Experience and Design

Company: Green Dot Corporation

Location: USA

Posted Nov 23, 2025

Green Dot seeks a Director of User Experience & Design to lead UX initiatives, foster remote work, and drive innovation in financial solutions. The role emphasizes collaboration, storytelling, and cross-functional teamwork with a competitive salary range.

Principal Solution Owner

Company: phData

Location: USA

Posted Nov 22, 2025

The job description is for a Solution Owner role in an Advisory practice. The role involves bridging the gap between clients' business needs and technical solutions, advising clients on best practices, shaping strategic vision for data platforms, and delivering transformative data solutions. Key responsibilities include vision and strategy, customer focus, influence and communication, and planning and execution. The role requires a bachelor's degree, experience in product management or consulting, and strong analytical and communication skills.

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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