Technical Analyst

Enterprise Knowledge • Arlington, VA

11h • $88,000 - $93,000 • Hybrid

About The Position

Enterprise Knowledge (EK) is hiring for a full-time Technical Analyst to join our growing Knowledge & Data Services Sector. As a member of this team, you will support dynamic and fast-paced data and semantic solutions for a diverse array of commercial and federal clients, offering you the opportunity to learn rapidly and grow exponentially. We are seeking a well-organized, curious, and quick learner who will tackle diverse challenges with creative solutions. As a Technical Analyst, you will join a team driving Enterprise AI and semantic solutions to solve complex data challenges. In this role, you will develop frameworks to organize and unify information, leveraging inference to analyze large-scale data, answer practical business questions, and uncover unexpected connections across various industries. As an EKer, you will join a fast-growing company that is committed to equity and inclusion, have the opportunity to work in a collaborative workplace, take advantage of our unique benefits, and help build our innovative culture. To read more about the impactful work we are doing and to see the latest thought leadership from EK, follow us on LinkedIn.

Requirements

• 1+ years of experience working in project-based work and/or client-facing roles
• Bachelor’s degree in a field with strong emphasis in business or data analysis, information systems, philosophy, or other fields related to technology and analysis
• Proven leadership skills demonstrating strong judgment, problem-solving, and decision-making abilities as well as working collaboratively as part of a team
• Excellent organizational skills and attention to detail coupled with the ability to multitask
• Exceptional communication skills (verbal, written, and visual) with experience in presentations and/or facilitation
• Detail-oriented to be "last eye" on deliverables
• The ability to meet daily, weekly, and long-term deadlines in a fast-paced environment
• The ability to work independently and proactively on various projects with minimal supervision
• Ability to engage professionally with a diverse range of stakeholders including executives, managers, and subject matter experts
• Aptitude to quickly learn new skills and abilities on-the-job

Nice To Haves

• Understanding of and passion for logic (e.g., logic puzzles, linguistic and grammar rules, mathematical proofs, set theory, formal logic, etc.)
• Experience supporting research, data analysis, or business analysis efforts
• Work experience with knowledge and information systems (e.g., knowledge bases, project management tools, LMS, CMS, CRM, etc.)
• Experience with or interest in learning coding languages (i.e. Python, SPARQL, etc.)
• Ability to adapt to new technology, problem-solve, and learn new skills quickly and effectively
• Basic understanding of prioritization approaches for content and data analysis

Responsibilities

• Managing a project timeline and ensuring the on-time submission of client deliverables
• Developing client-facing materials including presentations, reports, and training documentation
• Interfacing directly with clients virtually or in person through interviews, focus groups, workshops, and/or formal presentations
• Collaborating across business and technology functions, serving as a core support resource across multiple project workstreams, to ensure cohesive solutions are delivered
• Reviewing, analyzing, and evaluating business and technical needs to address client challenges – translating business use cases into technical requirements, and bridging the gap between technical and non-technical teams/stakeholders
• Analyzing content and data sources to discover information that supports a given business domain through qualitative and quantitative assessments
• Supporting the refinement of semantic layer strategies that feed into the design and implementation of enterprise knowledge, data management, and AI solutions
• Assisting in interpreting, documenting, and enriching semantic models, taxonomies, ontologies, and related solutions
• Supporting testing, implementation, and validation of solutions to ensure alignment with client requirements
• Conducting analysis of vendor tool offerings and advising clients on semantic tool selection and configuration
• Contributing to internal initiatives, knowledge sharing, and practice development efforts
• Fostering opportunities to grow into data management consulting, semantic solutions consulting, taxonomy/ontology modeling, or data science and engineering roles

Benefits

• unique benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level