Strong Problem-Solving Skills Jobs in New York City, NY

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Looking for Strong Problem-Solving Skills jobs in New York City, NY? Browse our curated listings with transparent salary information to find the perfect Strong Problem-Solving Skills position in the New York City, NY area.

Associate Attorney-4+ year Labor Law

Company: Perry, Van Etten, Rozanski & Kutner, LLP

Location: New York, NY

Posted Apr 23, 2025

Growing NYC insurance defense firm seeks attorney with 4-6 years experience in general liability and Labor Law -- construction site accidents defending owners/…

IT Risk Management Senior Analyst

Company: City National Bank

Location: New York, NY

Posted Apr 23, 2025

Serves as an expert in own discipline or area of specializationWorks on complex issues where analysis of situations or data requires an in-depth evaluation of…

SR Quality Assurance / Automation Engineer

Company: Fidelity TalentSource

Location: Jersey City, NJ

Posted Apr 24, 2025

Bachelor’s degree in computer science or related field required. Participate in engineering practices such as code and design reviews, environment strategy, and…

财务Accountant(mandarin required)

Company: Dashan inc

Location: Flushing, NY

Posted Apr 22, 2025

✅ *CPA certification* (or in progress) is a plus. Conduct financial analysis and assist with budgeting and forecasting.

Full Stack Developer (Front-End)

Company: Fidelity TalentSource

Location: Jersey City, NJ

Posted Apr 24, 2025

Strong data analysis skills, design, and coding experience in financial industry preferably in capital markets/prime brokerage. As a UI developer and designer,.

Lead HVAC Installer

Company: Yellowstone Local

Location: Manhattan, NY

Posted Apr 23, 2025

5+ years of hands-on HVAC installation and diagnostic experience. Top Pay: $40 - $65/hour based on experience and certifications (VRF specialists may earn more)…

Brand Manager品牌部经理(mandarin required)

Company: Dashan inc

Location: New York, NY

Posted Apr 24, 2025

Bachelor’s degree or higher in Marketing, Business Administration, or a related field (preferred). As the *Marketing Manager*, you will be responsible for…

Client Service I Representative- Device Maintenance

Company: Canon U.S.A., Inc.

Location: New York, NY

Posted Apr 24, 2025

Promptly reviews and responds to management and client requests via emails, phone calls, text messages and verbal. Basic computer skills/technical knowledge.

Cybersecurity Risk Quantification Analyst - USDS

Company: TikTok

Location: New York, NY

Posted Apr 22, 2025

Experience writing risk scenarios, managing identified risks in the register throughout all steps of the risk lifecycle, driving follow up and progress from…

Frequently Asked Questions

What are typical salary ranges by seniority for problem‑solving roles?
Entry‑level (0‑2 yrs): $70k‑$90k; Mid‑level (3‑5 yrs): $90k‑$125k; Senior (6‑10 yrs): $125k‑$180k; Lead/Principal: $180k‑$250k+.
Which skills and certifications are required for strong problem‑solving professionals?
Core stack: Python, SQL, R; data viz: Tableau, PowerBI; modeling: scikit‑learn, TensorFlow, PyTorch; process optimization: Six Sigma Green Belt; cloud: AWS Certified Solutions Architect, Google Cloud Professional Data Engineer; dev‑ops: Docker, Kubernetes; security: CompTIA Security+, CEH.
How common is remote or hybrid work in problem‑solving positions?
Over 80% of listings support full‑remote or hybrid arrangements, with most companies providing cloud‑based dev environments and flexible hours. Remote roles emphasize strong communication and self‑management.
What career progression paths exist for problem‑solving specialists?
Typical path: Junior Analyst → Analyst → Senior Analyst → Lead Analyst → Manager → Director of Analytics → VP of Data Science. For software roles: Junior Dev → Developer → Senior Dev → Tech Lead → Engineering Manager → VP of Engineering.
What industry trends are shaping demand for problem‑solving talent?
Automated ML pipelines, AI‑driven decision systems, edge‑computing analytics, and ethical AI governance are driving demand for roles that can architect reproducible ML workflows and enforce data governance.

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