Data Analysis Jobs in Remote

383,968 open positions · Updated daily

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

Technical Program Manager - Risk

Company: Stripe

Location: Remote

Posted Nov 22, 2025

Stripe seeks a Technical Program Manager to drive risk and compliance initiatives, emphasizing opportunities to impact the global economy and advance critical infrastructure projects. The role involves cross-functional collaboration, strategic planning, and improving team efficiency while aligning with Stripe's mission to grow the internet's GDP.

Sr. Manager - Product Growth, Strategy & Operations

Company: ExtraHop

Location: Remote

Posted Nov 22, 2025

The Sr Manager of Product Growth Strategy & Operations role at ExtraHop involves driving growth initiatives, supporting product strategy, and improving operational efficiency. The role requires collaboration with product, engineering, GTM, and customer success teams to identify high-leverage product growth opportunities, build product line views, and measure success. The ideal candidate has 6+ years of experience in management consulting, investment banking, or technology product management, a strong background in networking and cybersecurity, and an advanced degree from a top-tier institution.

Machine Learning Engineer - Ads

Company: Reddit

Location: Remote

Posted Nov 22, 2025

Reddit is expanding its Ads teams, focusing on innovation and ML-driven solutions. The role involves developing ML models for ad ranking and optimization, with a strong emphasis on impact and collaboration.

Director - Product Engineering, AI

Company: Synack

Location: Remote

Posted Nov 22, 2025

Synack is a Penetration Testing as a Service platform that discovers assets, pentests for critical vulnerabilities, and provides visibility into security risks. They have a community of security researchers delivering continuous penetration testing and vulnerability management. The Director of Product Engineering with a specialization in AI leads the strategic direction, development, and execution of AI-powered products and features.

Machine Learning Engineer - Advertising

Company: Spotify

Location: Remote

Posted Nov 22, 2025

The Advertising Product & Technology team at Spotify aims to build a next-generation advertising platform for audio and video content. They seek a Machine Learning Engineer II to lead strategic initiatives within CareML, focusing on categorizing podcast content and ads for brand safety. The role involves designing machine learning systems, collaborating with various teams, and applying AI tools to develop innovative solutions.

Senior Research Program Manager - Information Sharing

Company: Netflix

Location: Remote

Posted Nov 22, 2025

Netflix is a leading entertainment service with over 300 million paid memberships worldwide. The Consumer Insights team plays a crucial role in uncovering and sharing deep human insights to guide innovations across Netflix. The role involves working with researchers, data practitioners, and leaders to ensure insights have optimal business impact. Strong communication, storytelling, and collaboration skills are essential.

Senior Software Engineer - Rust - Backend - Pro

Company: Kraken

Location: Remote

Posted Nov 22, 2025

Kraken promotes its mission to advance crypto adoption through a global, mission-focused team dedicated to innovation in security, education, and client support. The company emphasizes collaboration, technical excellence, and diversity while offering opportunities for experienced engineers to contribute to industry-leading crypto products.

Staff Software Engineer - ML Feature Platform

Company: Reddit

Location: Remote

Posted Nov 22, 2025

The Machine Learning Platform team at Reddit is seeking a Staff Software Engineer to work on their ML Feature Platform. The role involves architecting, implementing, and maintaining foundational ML infrastructure used for computing, storing, and retrieving features that power various Reddit features. The ideal candidate should have 8+ years of experience in production software development, experience with large-scale ML systems, and knowledge of distributed systems and big data.

Senior Machine Learning Engineer - Ads

Company: Reddit

Location: Remote

Posted Nov 22, 2025

Reddit is expanding its Ads teams with opportunities for ML engineers and experts, emphasizing innovation, growth, and competitive benefits. The role involves building scalable systems, optimizing ad performance, and contributing to core priorities in machine learning and product development.

Senior Android Engineer - Quality Engineering

Company: Airbnb

Location: Remote

Posted Nov 22, 2025

The Quality Engineering team at Airbnb helps build high-quality software efficiently by improving test automation coverage, tools, environments, and frameworks. As a Senior Android Engineer, you will develop and maintain automation coverage, test tools, and environments, while collaborating with cross-functional teams to ensure robust test coverage and improve system testability.

Software Engineer - Ads

Company: Reddit

Location: Remote

Posted Nov 22, 2025

Reddit offers a flexible workforce with options for remote work or working from one of their physical office locations. The company is currently hiring across multiple teams, including the Ads ML Serving Team, Attribution & Identity Team, and Ads Growth Team. The Business Manager team is known for its inclusive and collaborative culture, where diverse perspectives are valued. The role described is a generalist mid-level backend position within the Ads Organization, with responsibilities including working with product managers to design and implement Ads products, collaborating with platform and data teams, and building extensible components.

Interstate Tractor Trailer Transportation Claims Resolution Specialist: Auto Physical and Property Damage

Company: Reserv

Location: Remote

Posted Nov 22, 2025

Reserv is an insurtech company focused on automating manual tasks in claims processing using AI and automation technology. They are seeking highly organized and customer-focused Transportation Physical Damage Claims Adjusters to join their team. The company values diversity, empathy, and continuous learning, and offers a generous benefits package.

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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