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.

Revenue Fraud Analyst

Company: KACE Company

Location: San Diego, CA

Posted Aug 04, 2025

Bachelor’s Degree from accredited college or university in a research-oriented field such as finance, economics or business is desired OR extensive demonstrated…

Business Analyst, AWS Elemental Media Services

Company: Elemental Technologies LLC

Location: Santa Clara, CA

Posted Aug 04, 2025

Experience bridging technical and business teams to collect and refine requirements, prioritize incoming work requests, and ensure all committed work is…

Dental Office Practice Manager — Thrive with a Supportive and Collaborative Team

Company: Perfect Smile Dental Care

Location: San Jose, CA

Posted Aug 04, 2025

If you have experience in managing a team in a professional setting, utilizing the below-mentioned traits, we will train you on the technical parts in Dentistry…

Program Manager, Event Content, AWS Event Content

Company: Amazon Web Services, Inc.

Location: San Diego, CA

Posted Aug 04, 2025

Help organize and schedule key milestone meetings (kickoff calls, check-ins, content reviews, and debrief calls).

Tableau Data Analyst

Company: E-Solutions IT Service PVT LTD

Location: Santa Clara, CA

Posted Aug 04, 2025

Good at data analysis. Manufacturing background & Tableau certifications. Candidate should be able to assist business stakeholders to build their dashboards.

Data Scientist Graduate (TikTok-Search)-2026 Start (BS/MS)

Company: TikTok

Location: San Jose, CA

Posted Aug 04, 2025

Responsibilities - Define success metrics to measure product growth and identify problems through monitoring or forecasting - Apply technical expertise with…

Data Scientist Graduate [TikTok LIVE-Data Science] - 2026 Start (BS/MS)

Company: TikTok

Location: San Jose, CA

Posted Aug 04, 2025

Research data science theories and methodology, improve analysis efficiency and data product tools. Bachelor's degree in data science, statistics, econometrics…

Head of DeFi

Company: ChainML

Location: Los Altos, CA

Posted Aug 04, 2025

You have a solid grasp of Solidity and EVM design patterns, understand oracle design and gas-optimization techniques, and can evaluate on-chain risk-management…

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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