Technical Business Analyst

Data Ideology is a company that provides Data & Analytics expertise to drive measurable business outcomes. They are seeking a Technical Business Analyst to facilitate discovery, translate stakeholder requirements into actionable artifacts, and ensure consistency across data platforms and technology workstreams.

Responsibilities:

• Lead structured discovery workshops with client engineering and product leadership to elicit, document, and validate business and technical requirements across data platform and technology workstreams
• Compile and maintain detailed requirements matrices documenting data types, system interfaces, processing frequencies, and dependency classifications across source systems and downstream consumers
• Own scope tracking and MVP boundary management — document, log, and protect agreed scope as it is confirmed with client stakeholders, ensuring any changes are captured through formal change control processes
• Consolidate and maintain business glossaries, metadata standards documentation, and data governance artifacts, coordinating with architects and data leads to ensure consistency and readiness for client handoff
• Act as the coordination bridge across concurrent workstreams, ensuring that data contracts, canonical definitions, and platform architecture decisions are reflected consistently across all active workstreams
• Facilitate technical feasibility workshops, track open questions and unresolved dependencies, and escalate risks to the project lead in a timely manner
• Translate complex technical architecture concepts into clear written requirements, functional specifications, and interaction models that can be validated by both technical teams and business stakeholders
• Support the Program Manager in maintaining the decision log, action item tracker, risk register, and stakeholder communication cadence across all active workstreams
• Produce clear, structured written artifacts throughout the engagement — requirements documents, workshop summaries, dependency logs, and scope protection records — that are used directly in client deliverables
• Assist with light project management responsibilities including milestone tracking, status reporting, and coordination of cross-team dependencies to keep delivery on schedule

Requirements:

• Bachelor's degree in Business, Computer Science, Information Systems, or a related field required
• 5+ years of experience as a business analyst or requirements analyst on data, analytics, or technology platform engagements, preferably within a consulting or professional services environment
• Demonstrated ability to facilitate structured discovery workshops with technical and non-technical stakeholders and produce clear, usable requirements artifacts from those sessions
• Light project management experience including milestone tracking, action item management, status reporting, and dependency coordination across multi-workstream engagements
• Strong written communication skills with a proven ability to produce structured documentation — requirements documents, functional specifications, scope logs, and workshop summaries — suitable for direct use in client deliverables
• Ability to manage context across multiple concurrent workstreams and serve as an information bridge between separate technical teams working on related but distinct problems
• Comfortable operating in a Phase 0 or architecture-and-planning engagement mode — producing planning and requirements artifacts rather than delivering production systems
• Excellent stakeholder management and organizational skills, with the ability to track open questions, decisions, and dependencies across a fast-moving consulting engagement
• Advanced degree preferred
• Experience with AWS data platform engagements preferred — familiarity with cloud data architecture concepts such as medallion lakehouse patterns, data governance frameworks, metadata management, and data quality practices is a strong plus
• Exposure to AWS services (S3, Glue, Redshift, DataZone, Lake Formation) in a project context is preferred; hands-on implementation experience is not required but direct AWS familiarity strengthens the candidate's ability to contribute from day one
• Familiarity with emerging technology domains such as edge computing, IoT, or AI/ML systems is a plus but not required