Problem-Solving Skills Jobs in San Francisco, CA

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

Senior Site Reliability Engineer

Company: BlackLine

Location: Pleasanton, CA

Posted Feb 08, 2025

Lockbox Processor - Extraction

Company: PNC

Location: Pasadena, CA

Posted Feb 08, 2025

Compliance Officer - Card Networks

Company: Adyen

Location: San Francisco, CA

Posted Feb 08, 2025

Chief of Staff, Office of the CTO

Company: Equinix, Inc

Location: Redwood City, CA / Remote

Posted Feb 08, 2025

Lead, Art Direction, eCommerce

Company: NIKE, Inc.

Location: Los Angeles, CA

Posted Feb 08, 2025

Automotive Detailer

Company: CarMax

Location: Bakersfield, CA

Posted Feb 08, 2025

Applied Networking Security Engineer

Company: Apple

Location: San Diego, CA

Posted Feb 08, 2025

CoreGraphics/ImageIO Security Engineer

Company: Apple

Location: Cupertino, CA

Posted Feb 08, 2025

Frequently Asked Questions

What are the typical salary ranges by seniority for Problem‑Solving Skills roles?
Entry‑level analysts earn $60‑$80K, mid‑level $80‑$110K, senior $110‑$150K, lead $150‑$190K, and managerial positions range $160‑$210K in the U.S., adjusted for cost of living and company size.
Which skills and certifications are required for these roles?
Core tools include SQL, Python, R, Tableau/Power BI, and statistical libraries like scikit‑learn or SAS. Certifications such as CAP (Certified Analytics Professional), Microsoft Data Analyst Associate, AWS Certified Data Analytics – Specialty, and Lean Six Sigma Green Belt are highly valued. Strong communication, hypothesis testing, and experience with cloud data warehouses (Snowflake, BigQuery) are also essential.
Is remote work available for Problem‑Solving Skills positions?
Yes, most analytics and ops research roles offer fully remote or hybrid models. Companies rely on collaboration tools such as Slack, Teams, JIRA, Confluence, and Zoom, and expect candidates to manage time zones, deliver results via shared dashboards, and participate in virtual sprint planning.
What are the career progression paths in this category?
Typical paths move from Junior Analyst to Senior Analyst, then Lead Analyst or ML Ops Engineer, followed by Analytics Manager, Director of Analytics, or VP of Data Science. Lateral moves into data engineering, product management, or process improvement leadership are common, especially for those who master cloud pipelines and business storytelling.
What industry trends are shaping Problem‑Solving Skills opportunities?
Key trends include AI‑driven automated root‑cause dashboards, real‑time streaming analytics on edge devices, integration of ML Ops with Kubernetes, and a shift toward data storytelling using interactive dashboards. Sectors such as fintech, healthcare, and smart manufacturing are leading demand, driving a need for analysts who can translate complex models into actionable business decisions.

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