Technical Business Analyst, AI

Dice lists a Technical Business Analyst, AI role focused on leading client engagements and end-to-end delivery across AI, data, and application initiatives. The role also gathers reporting and analytics requirements, implements Looker data models and dashboards, and applies AI to improve analytics and insights.

Responsibilities

• Serve as the primary client contact and own the relationship from kickoff through delivery, leading kickoff sessions, status meetings, demos, and executive updates
• Own the end-to-end delivery plan, including milestones, dependencies, risks, and deliverables across AI, data, and application workstreams
• Monitor delivery health and proactively identify risks, bottlenecks, and misalignment before they impact timelines; escalate internally and drive alignment on corrective actions
• Manage client issues and escalations-triaging concerns quickly, coordinating resolution with internal teams, and communicating clear action plans
• Partner with clients on scope changes and evolving requirements, ensuring impacts to delivery, timelines, and priorities are clearly understood and agreed upon
• Ensure tasks are clearly defined, assigned, followed up on, and completed as committed, and translate progress into concise updates for clients and internal leadership
• Participate in technical discussions and design reviews, translating solution architecture, integrations, and implementation trade-offs into business-oriented insights for non-technical stakeholders
• Lead business analysis for reporting and analytics needs, eliciting requirements and translating business questions into KPIs, metric definitions, and functional specifications
• Perform hands-on reporting implementation in Looker, including data modeling, LookML development, and dashboard and Explore design
• Partner with data engineers to validate source data, define the semantic layer, and ensure the accuracy, consistency, and performance of reports
• Identify and implement opportunities to apply AI within reporting and analytics, such as conversational analytics, natural-language querying, and AI-generated insights
• Own user acceptance testing for reports and dashboards, and document data definitions, business rules, report specifications, and user guides to support training and adoption
• Coordinate cross-functional teams across engineering, data, QA, and cloud, supporting planning, onboarding, and capacity alignment while reinforcing priorities and ownership

Preferred

• Background in software engineering, data engineering, cloud infrastructure, or a related field
• Experience delivering AI/ML or analytics-driven solutions
• Hands-on experience with Looker, including LookML development, Explores, and dashboard design
• Experience applying AI and LLM capabilities to analytics and reporting (e.g., Gemini in Looker, conversational analytics, AI-generated insights)
• Familiarity with Google Cloud (including BigQuery), Azure, or AWS cloud environments
• PMP, Scrum Master, or equivalent certification
• Data Engineering
• Cloud Infrastructure
• AI/ML Solutions Delivery
• Analytics Solutions Delivery
• Looker
• LookML Development
• Looker Explores
• Dashboard Design
• AI
• LLM Analytics
• Gemini in Looker
• Conversational Analytics
• AI-Generated Insights
• Google Cloud
• BigQuery
• Microsoft Azure
• Amazon Web Services (AWS)
• PMP Certification
• Scrum Master Certification

Benefits

• Remote in the Contiguous United States

Company

• Tech career marketplace connecting professionals with recruiters
• Centennial, Colorado, USA
• https://www.or-quest.nl/
• Founded in 1990
• 201-500 employees

Qualifications

• Excellent verbal and written communication skills, including the ability to translate technical details into business value
• Ethical and Critical Thinking
• Excellent interpersonal and client relationship management skills
• Consultative mindset with clear ownership of and accountability for outcomes
• Excellent organizational skills and attention to detail
• Excellent time management skills with a proven ability to meet deadlines
• Strong analytical and problem-solving skills
• Strong leadership skills, with the ability to coordinate cross-functional teams and hold them accountable
• Ability to prioritize tasks and manage competing priorities across multi-stakeholder initiatives
• Ability to function well in a high-paced and stressful environment
• Strong SQL skills and a good understanding of modern software delivery practices (Agile, cloud-native architectures, APIs, CI/CD, data platforms)
• Proficient with Microsoft Office Suite and tools such as Jira, Confluence, and Lucidchart
• 5+ years of experience delivering technology projects in a client-facing or consulting environment
• 3+ years of experience as a technical business analyst or in a hands-on BI/reporting role, including requirements gathering, data modeling, and dashboard development
• Proven experience owning delivery outcomes, timelines, and client relationships, and managing complex, multi-stakeholder initiatives with competing priorities
• Experience working with cloud data warehouses and semantic layers
• Background in software engineering, data engineering, cloud infrastructure, or a related field
• Experience delivering AI/ML or analytics-driven solutions
• Hands-on experience with Looker, including LookML development, Explores, and dashboard design
• Experience applying AI and LLM capabilities to analytics and reporting (e.g., Gemini in Looker, conversational analytics, AI-generated insights)
• Familiarity with Google Cloud (including BigQuery), Azure, or AWS cloud environments
• PMP, Scrum Master, or equivalent certification
• 5+ years of experience delivering technology projects in a client-facing or consulting environment.
• 3+ years of experience as a technical business analyst or in a hands-on BI/reporting role, including requirements gathering, data modeling, and dashboard development.

Required skills

• AI/ML, APIs, Agile, Amazon Web Services, BigQuery, Client Relationship Management, Cloud Data Warehousing, Cloud-Native Architectures, Confluence, Continuous Integration and Continuous Delivery (CI/CD), Dashboard Development, Data Modeling, Google Cloud Platform, Jira, Large Language Models (LLMs), LookML, Looker, Lucidchart, Microsoft Azure, Microsoft Office, PMP, Requirements Gathering, SQL, Scrum, Semantic Layers

Preferred skills

• Experience delivering AI/ML or analytics-driven solutions, PMP, Scrum Master, or equivalent certification

Experience

• 5+ years