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.

Local Truck Driver Class A

Company: Javelin Logistics Company

Location: Newark, CA

Posted Jul 21, 2025

This position requires a Class A or B license*, 2 years’ minimum experience operating a tractor/trailer (53' dry van, High Cube, Flatbed), clean DMV (no major…

AI Solutions Lead

Company: ASAP Talent Services

Location: Redwood City, CA

Posted Jul 21, 2025

Partner with engineering and product teams to integrate AI features into existing SaaS products or develop standalone services. Full-time Home Office w/Travel.

SIMS Analyst

Company: Tech Magnetics

Location: San Jose, CA

Posted Jul 21, 2025

Strong analytical and communication skills; capable of translating technical issues for non-technical stakeholders. *Splunk Core Certified Power User*.

Network Defense and Security Analyst

Company: CACI

Location: San Antonio, TX

Posted Jul 21, 2025

Perform network event correlation and advanced traffic analysis, vulnerability analysis, IDS/IPS sensor maintenance, IDS/IPS database & VPN technical support,…

Toddler Master Teacher

Company: SJB Child Development Centers

Location: San Jose, CA

Posted Jul 21, 2025

Complete, supervise and monitor continual evaluation of each child’s progress using assessments to develop goals and objectives for the child.

Preschool Master Teacher

Company: SJB Child Development Centers

Location: San Jose, CA

Posted Jul 21, 2025

Complete, supervise and monitor continual evaluation of each child’s progress using assessments to develop goals and objectives for the child.

HVAC Engineer

Company: HVAC Recruitment

Location: Fremont, CA

Posted Jul 21, 2025

Coordinate with vendors, contractors, and engineering teams to ensure technical compliance. Training or certification in HVAC, Electrical, or Plumbing.

Senior AI Quality Assurance (QA) Engineer

Company: TWG Global

Location: Santa Monica, CA

Posted Jul 21, 2025

Proven experience with AI products, prompt engineering, and LLM model evaluation, familiarity with a wide range of AI tools and platforms.

Mortgage Customer Service Representative

Company: SolomonEdwards

Location: Pasadena, CA

Posted Jul 21, 2025

Receive inbound calls and make outbound calls to consumers. Answer high-volume, inbound calls or texts from current customers in a timely manner.

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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