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.

Senior Software Engineer

Company: Green Dot Corporation

Location: Remote

Posted Nov 25, 2025

Green Dot Corporation is seeking a Senior Software Engineer to join the Risk Team and build scalable, secure systems for fraud detection and risk management. The role involves technical leadership, collaboration with cross-functional teams, and operating in an AI-driven SDLC environment.

Marketing Science Manager

Company: Reddit

Location: Remote

Posted Nov 25, 2025

Reddit is seeking a Marketing Sciences Manager to lead a team and help advertisers succeed on the platform. The role involves managing a team, developing performance benchmarks, and optimizing ad campaigns. The position requires 5+ years of experience in advertising or analytics, familiarity with measurement solutions, and the ability to work cross-functionally.

Senior Analytics Engineer

Company: Consensys

Location: Remote

Posted Nov 25, 2025

Consensys is a leading blockchain and web3 software company pioneering innovation in the ecosystem. They offer opportunities to work on cutting-edge tools and collaborate with builders worldwide. The Data Team focuses on transforming data into business metrics, with roles requiring expertise in analytics, SQL, and data governance.

Backend Engineer - Core Technology

Company: Stripe

Location: Remote

Posted Nov 25, 2025

Stripe seeks a software engineer to contribute to critical infrastructure systems, focusing on reliability, scalability, and productivity. The role involves working on distributed systems, developer tools, data platforms, and financial systems while aligning with Stripe's mission to grow the internet's GDP. The position offers autonomy, collaboration, and impact across multiple high-scale teams.

Senior Infrastructure Software Engineer

Company: Dropbox

Location: Remote

Posted Nov 25, 2025

The role of an Infrastructure Engineer at Dropbox involves shaping and constructing robust systems to support current products and future innovations. Responsibilities include building infrastructure for metadata management, expanding Dropbox's data fabric, optimizing analytics platforms, collaborating with cross-functional teams, and proactively identifying opportunities for improvement. The position requires a strong technical background, experience in managing large-scale systems, and the ability to navigate ambiguous situations.

Senior Director - Commerce Product Platform

Company: Twilio

Location: Remote

Posted Nov 25, 2025

Twilio is seeking a Senior Director of Product Management to lead the strategy and roadmap for their Commerce Platform. The role involves setting long-term strategy, building a world-class PM team, and partnering with cross-functional leaders to deliver innovative solutions that fuel Twilio's growth. The ideal candidate should have deep understanding of commerce systems, experience in product and platform ownership, roadmap management, cross-functional partnership, team leadership, and data-driven decision making.

Staff Software Engineer - Backend

Company: Sprout Social

Location: Remote

Posted Nov 25, 2025

Sprout Social is hiring a Staff Software Engineer to join their Engineering team. The role involves working on a tech-giant scale with smaller supportive teams, processing billions of requests and social messages daily. The ideal candidate will have 7+ years of experience in software development, 5+ years in object-oriented programming, and 3+ years leading engineering projects. The company offers a comprehensive benefits program, flexible work arrangements, and opportunities for growth and development.

VP - Product Management (Platform & Signature Experience)

Company: EDB

Location: Remote

Posted Nov 25, 2025

The candidate is seeking a VP of Product Management role overseeing the end-to-end user journey and execution layer of the EDB Postgres AI platform. The role involves leading teams responsible for platform services, hybrid management, telemetry, migrations, and partner marketplace integration. The ideal candidate should have 10+ years of product leadership experience, deep technical fluency in modern database technology and cloud-native architecture, and proven ability to define a world-class user experience for enterprise-grade software.

AI Content Designer

Company: R/GA Careers Page

Location: Remote

Posted Nov 25, 2025

The job description outlines the role of an AI Content Designer at Addition, focusing on creating next-generation content experiences using generative AI. The role involves crafting brand-right content across various surfaces, writing and refining prompts for LLMs, collaborating with multidisciplinary teams, and optimizing AI-generated content. The ideal candidate should have experience in content design, UX writing, or content strategy, along with AI fluency and strong editorial skills.

Geospatial Scientist - Data Publishing and Cataloging

Company: Ardent

Location: Remote

Posted Nov 25, 2025

Ardent is a company that values both important work and a fulfilling life for its employees. They offer competitive benefits, professional development opportunities, and a collaborative culture. The company is seeking a Geospatial Scientist Data Publishing and Cataloging to lead data management initiatives for the Department of Homeland Security.

Geospatial Scientist - Data Collection and Quality

Company: Ardent

Location: Remote

Posted Nov 25, 2025

Ardent emphasizes a supportive work environment with competitive benefits, professional development opportunities, and a collaborative culture. The job posting highlights a remote Geospatial Scientist role with focus on data quality, mission-critical work, and team collaboration.

Full Stack Developer

Company: Guidehouse

Location: Remote

Posted Nov 25, 2025

The job posting is for a full-stack developer position in software development and support for a digital travel company. The role involves designing, implementing, and testing a distributed enterprise application using microservices and business automation patterns. The ideal candidate should have experience in enterprise software design, proficiency in JavaScript, Java, and cloud development, and knowledge of web accessibility and security best practices.

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.

Related Pages