Data Analysis Jobs in San Francisco, CA

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Looking for Data Analysis jobs in San Francisco, CA? Browse our curated listings with transparent salary information to find the perfect Data Analysis position in the San Francisco, CA area.

Senior Python Engineer

Company: Fuel Cycle

Location: Los Angeles, CA

Posted Apr 26, 2025

Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. 15 Vacation Days + 7 Sick Days annually.

IT Compliance Analyst

Company: General Atomics and Affiliated Companies

Location: San Diego, CA

Posted Apr 25, 2025

Typically requires a bachelor’s in computer science, information technology, or a related field and six or more years of progressive professional experience in…

Digital Network Exploitation Analyst

Company: RealmOne

Location: San Antonio, TX

Posted Apr 24, 2025

Background in hardware/software engineering, programming, computer/network security, vulnerability analysis, penetration testing, computer forensics,…

Staff AI Engineer - Multi-Agent Frameworks

Company: ClickUp

Location: San Diego, CA

Posted Apr 24, 2025

Design, develop, and maintain a robust platform to enable users to create and manage AI agents and their interactions.

Data Scientist Principal – Bank AI/ML

Company: USAA

Location: San Antonio, TX

Posted Apr 25, 2025

Clearly translates complex analytical and technical concepts to diverse, technical, and non-technical audiences in a way that promotes organizational data…

Marketing Manager / Senior Marketing Manager

Company: Clark Construction Group

Location: San Diego, CA

Posted Apr 24, 2025

Guide and assist technical staff, as necessary, on the development/improvement of their technical narratives. Provide mentorship and strategic advice to develop…

Construction Project Manager - 5+ Years Health Care Experience Required

Company: FTG Builders, Inc.

Location: Santa Clara, CA

Posted Apr 24, 2025

Bachelor’s or master’s degree(s) in civil engineering, mechanical engineering, electrical engineering, structural engineering, and/or construction management,…

Exploitation Analyst

Company: RealmOne

Location: San Antonio, TX

Posted Apr 24, 2025

Additional relevant experience includes engineering hardware and software, programming, computer and network security, vulnerability analysis, penetration…

Senior Data Engineer (Contract)

Company: UCLA Health

Location: Los Angeles, CA

Posted Apr 25, 2025

Bachelor’s degree in computer science, Computer Engineering, or related field from an accredited college or university; Master’s Degree preferred.

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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