Strong Problem-Solving Skills Jobs in Washington DC

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Looking for Strong Problem-Solving Skills jobs in Washington DC? Browse our curated listings with transparent salary information to find the perfect Strong Problem-Solving Skills position in the Washington DC area.

Tier II Help Desk

Company: KeenLogic

Location: Washington DC

Posted Feb 03, 2025

KeenLogic is hiring a Tier II Help Desk Analyst for a full-time, onsite position in Alexandria, VA. The candidate will provide deskside support for Intel-based PCs, Apple workstations, and custom business applications. They will troubleshoot hardware and software issues, perform installations, configurations, and removals, and manage Active Directory, workstation imaging, and mobile device management. Effective communication and teamwork skills are required. Preferred qualifications include MacOS and iOS support experience and Apple Certified Mac Technician certification.

Shift Supervisor Trainee

Company: CVS Health

Location: Washington, DC

Posted Feb 03, 2025

Manager, Information Security Office (ISO) Consultant

Company: Capital One

Location: Washington DC

Posted Feb 03, 2025

Capital One is seeking a Manager Information Security Office ISO Consultant with at least 4 years of experience in cybersecurity or information technology. The role involves acting as a central Information Security point of contact, coordinating proactive consulting, and securing design solutions. The ideal candidate should have a deep passion for securing modern computing platforms, strong conceptual thinking, and excellent communication skills. The position offers a competitive salary and comprehensive benefits. Capital One is an equal opportunity employer committed to diversity and inclusion.

Fraud Technologist - Data and Analytics - Sr Associate

Company: PwC

Location: Washington DC

Posted Feb 03, 2025

PwC's Financial Crimes Data and Analytics team focuses on leveraging data to drive insights and make informed business decisions. They utilize advanced analytics techniques to optimize clients' operations and achieve strategic goals. As a Senior Associate in Business Intelligence, you will focus on providing strategic insights and driving informed decision-making for clients. You will develop and implement innovative solutions to optimize business performance and enhance competitive advantage. Building meaningful client connections and managing others are key aspects of the role. The position requires critical thinking, problem-solving skills, and the ability to navigate complex situations. PwC values professionals who can interpret data, uphold professional standards, and continuously develop their skills and knowledge.

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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