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The Copley Consulting Group

Sr. Solutions Analyst

Career Insights for Technical Consultant / Analyst

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What they do

A Technical Consultant or Analyst provides information technology consulting services to businesses and organizations. Advises or manages installation or expansion of computer network systems; provides problem-solving assistance and staff training with new systems. May work independently or as part of a consulting team.

$106,284 / year median in California

-18% projected decline

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Job Description

Job Description Work Location:
Hybrid role (3 days per week in-office; no fully remote options)
Position Summary:
The Senior Solutions Analyst is a senior-level technical role responsible for analyzing, designing, integrating, and improving internal business systems that support content, data, and operational workflows. This role requires strong expertise in technology-based systems analysis, including business process documentation, system specifications, and technical documentation. The position manages and enhances in-house applications for internal customers, serving as a liaison between business stakeholders, technology teams, and infrastructure partners to deliver scalable, cost-effective solutions. The role also supports the integration of AI-driven technologies into business systems to improve automation, decision-making, data quality, and operational efficiency. The Senior Solutions Analyst provides strategic input into content creation, enrichment, and publication systems by identifying opportunities to enhance data and content value. The ideal candidate brings professional experience in automotive diagnostics, repair, engineering, data, or shop management, along with strong technical analysis skills and a passion for internal business systems and product management. Position Responsibilities (Other duties may be assigned): Analyze, design, and enhance internal business systems supporting content, data, and operational workflows. Document business processes, requirements, system specifications, and technical documentation. Manage and support in-house applications for internal customers, ensuring scalable and cost-effective solutions. Serve as a liaison between business stakeholders, technology teams, and infrastructure partners to deliver integrated solutions. Identify, evaluate, and support the integration of AI-driven technologies to improve automation, data quality, and decision-making. Collaborate with IT leadership and project teams to ensure solutions align with enterprise standards, architecture, and long-term technology strategies.
Position Requirements:
Bachelor's degree (BA or BS) in Computer Science, Information Systems, Engineering, Business, or a related technical field, or equivalent practical experience. 5+ years of progressive experience in a senior-level technical, business systems analyst, or similar role focused on enterprise systems and integrations. Demonstrated experience analyzing and documenting business processes, system requirements, and technical specifications for complex internal systems. Practical knowledge of software and systems development lifecycles, including testing, implementation, and production support (hands-on development not required). Familiarity with content creation, enrichment, publication systems, and large-scale content management environments. Automotive domain experience in diagnostics, repair, engineering, data, or shop management.
Key Competencies:
Technical Acumen Across the
SDLC:
Understands system design, integration, testing, and production support across the full development lifecycle. Communication (Technical & Business): Clearly communicates technical concepts to both technical and non-technical audiences through documentation and collaboration.
Cross-Functional Collaboration & Relationship Management:
Effectively partners with business, technology, and infrastructure teams to deliver aligned solutions.
Problem Solving & Analytical Thinking:
Applies critical thinking to identify root causes and deliver practical, scalable solutions.
Innovation & AI Enablement Mindset:
Identifies responsible opportunities to apply AI to improve automation, data quality, and decision-making.