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.

Compensation Consultant - EMEA

Company: Autodesk

Location: Dublin, Ireland / Remote

Posted Jan 25, 2025

Solutions Sales Engineer

Company: Sumo Logic

Location: Gunnison, CO / Remote

Posted Jan 25, 2025

Principal Business Systems Analyst

Company: Atlassian

Location: London, United Kingdom / Remote

Posted Jan 25, 2025

Customer Support Agent - French Speaking

Company: Equinix, Inc

Location: Warsaw, Poland / Remote

Posted Jan 25, 2025

Performance Maintenance Specialist

Company: Waters

Location: Watertown, CT / Remote

Posted Jan 25, 2025

Director of Sales Play Activation

Company: Equinix, Inc

Location: Frisco, TX / Remote

Posted Jan 25, 2025

Head of Partnerships

Company: Federato

Location: Remote

Posted Jan 25, 2025

Federato is a company dedicated to providing efficient and equitable insurance solutions, particularly in the face of contemporary challenges like the climate crisis, cyberattacks, and social inflation. They leverage AI and deep reinforcement learning to optimize risk portfolios and ensure fair pricing. The company is backed by prominent entities such as Salesforce, Veeva, Zoom, and Box. The role in question involves developing and scaling partnerships, with a focus on increasing engagement, revenue, and product usage. The ideal candidate should have extensive experience in partnerships and business development, preferably in InsuranceTech, and a proven track record of driving growth. Federato values culture fit, emphasizing speed, user-centric problem-solving, and a fun work environment.

Sales Engineer – Cloud Data Warehouse, Data Engineering & AI - US Based - Remote

Company: Coenterprise

Location: Remote

Posted Jan 25, 2025

CoEnterprise, an award-winning B2B software and professional services company, is seeking a highly skilled Sales Engineer with expertise in cloud data warehousing, data engineering, and AI/ML. The role involves collaborating with the sales team to design scalable cloud data architectures, present tailored product demonstrations, and assist with RFPRFI responses. The ideal candidate should have strong experience with cloud data platforms, data engineering concepts, and AI/ML technologies. They should also possess excellent presentation, communication, and interpersonal skills, and have a customer-focused mindset.

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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