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.

Product Designer

Company: EVERFI

Location: Remote

Posted Jan 25, 2025

Senior Data Engineer

Company: Going

Location: Remote

Posted Jan 25, 2025

Going is seeking a Senior Data Engineer to lead their data infrastructure efforts. The role involves designing, building, and scaling a robust data infrastructure, collaborating with cross-functional teams, and ensuring high-impact decision-making. The ideal candidate should have 6+ years of professional experience in data engineering, proficiency in big data technologies, cloud platforms, and modern data engineering frameworks. The company offers a competitive salary, remote work environment, annual team retreats, comprehensive benefits, and a culture that values diversity and inclusion.

Senior Site Reliability Engineer [United Kingdom]

Company: Olo

Location: Remote

Posted Jan 25, 2025

Olo, a leading SaaS platform, is seeking a Site Reliability Engineer to improve system availability and enhance customer experience. The role involves guiding observability, implementing incident response tools, building collaborative monitoring solutions, and contributing to system improvements. The position is fully remote within the UK, contracted through Deel. Requirements include 5+ years of experience in building scalable systems, proficiency in monitoring tools, incident management, and build/deploy tools. Olo offers a competitive compensation range of £57600 - £68400 annually.

Senior Business Intelligence Analyst

Company: Going

Location: Remote

Posted Jan 25, 2025

The Senior Business Intelligence Analyst role involves driving the company's data strategy, collaborating with stakeholders to uncover business priorities, and delivering insights that fuel impactful decisions. The role requires producing actionable BI analytics, partnering with cross-functional teams, building dashboards and visualizations, and ensuring data accuracy and accessibility. The ideal candidate should have 5+ years of relevant experience, strong expertise in BI tools, and experience with data lakes and large-scale data processing tools. The role offers a competitive salary, remote work environment, and comprehensive benefits.

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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