Data Analysis Jobs in Remote

384,437 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.

Athlete Evaluator

Company: Area Scouts

Location: Burlington, VT / Remote

Posted Jan 25, 2025

Principal Machine Learning Engineer - AI / ML

Company: Atlassian

Location: Bangalore, India / Remote

Posted Jan 25, 2025

Senior .NET Development Engineer (*) Remote

Company: WEX

Location: Boston, MA / Remote

Posted Jan 25, 2025

UX/UI Designer

Company: Marigold Health

Location: Remote

Posted Jan 25, 2025

Marigold Health, a leading provider of app-based peer recovery support, is seeking a UX/UI Designer to create intuitive and engaging experiences for members and peer supporters. The role involves designing user interfaces, developing features, ensuring accessibility and inclusivity, conducting user research, and collaborating with cross-functional teams. The ideal candidate should have a Bachelor's degree in a related field, 5+ years of UX/UI design experience, proficiency in design tools, and a strong portfolio. The role offers professional growth opportunities, a supportive culture, and competitive benefits.

Senior Software Engineer - Full Stack

Company: Datadog

Location: Paris, France / Remote

Posted Jan 25, 2025

HVAC Channel Sales Manager III

Company: Rheem

Location: San Antonio, TX / Remote

Posted Jan 25, 2025

Resident Consultant

Company: Trimble

Location: Remote

Posted Jan 25, 2025

Staff Software Engineer (Backend)

Company: Seeq Corporation

Location: Remote

Posted Jan 25, 2025

Seeq, a remote-first company, is seeking a Staff Software Engineer to shape the technical direction and architecture of their software platform. The role involves leading the design and development of complex software systems, mentoring junior engineers, and evolving data-intensive applications to leverage cloud-native technologies. The ideal candidate is a productive engineer with a passion for crafting exceptional software, excellent problem-solving skills, and a strong understanding of software design principles. They should be comfortable with JVM languages, databases, distributed computing, and cloud platforms. The company offers competitive compensation, benefits, and a collaborative work environment.

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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