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.

Solution Architect

Company: Arcee AI

Location: Remote

Posted Jan 24, 2025

Arceeai is a leading AI company seeking a Solution Architect with 5+ years of experience in AI, machine learning, or data science. The role involves designing, developing, and implementing AI-powered solutions, providing technical leadership, and engaging with clients. Key responsibilities include solution design, technical leadership, client engagement, solution implementation, and continuous innovation. The ideal candidate should have strong programming skills, experience with AI frameworks, familiarity with cloud platforms, and excellent communication skills. The company offers a competitive salary, opportunities to work on cutting-edge AI projects, a collaborative work environment, and professional development opportunities.

AR Consultant

Company: CDW

Location: Remote

Posted Jan 24, 2025

CDW, a Fortune 200 leader, is seeking a highly skilled AR Partner Finance Consultant. The role involves liaising between Finance and Partner and Product Management teams, tracking programs, researching standards, reconciling records, and managing cash collection. The ideal candidate should have excellent analytical skills, relevant experience, and strong communication abilities. CDW offers a diverse culture, competitive benefits, and opportunities for career growth.

Database Platform Beheer en Automation SME

Company: Kyndryl

Location: Hoofddorp, Netherlands / Remote

Posted Jan 24, 2025

Machine Learning Infrastructure Engineer

Company: Arcee AI

Location: Remote

Posted Jan 24, 2025

Arceeai is seeking a Machine Learning Infrastructure Engineer to design, implement, and maintain scalable, efficient, and reliable machine learning infrastructure. The ideal candidate should have experience with cloud platforms, Kubernetes, IaC tools, and ML model serving frameworks. They will collaborate with data scientists, engineers, and researchers to ensure seamless integration of machine learning models into the production environment, optimize infrastructure resources, and stay updated with industry trends.

Service Engineer- Technical Support

Company: Rain Bird

Location: Aix-en-Provence, France / Remote

Posted Jan 24, 2025

Architect for Multi Cloud Project

Company: Kyndryl

Location: Tokyo, Japan / Remote

Posted Jan 24, 2025

Direct Tax Manager

Company: CDW

Location: Remote

Posted Jan 24, 2025

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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