Data Ideology
At DI, we provide Data & Analytics expertise to drive measurable business outcomes, often solving complex business problems for our clients. Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results. Our team consists of highly motivated individuals passionate about learning, understanding, collaborating, and intellectually curious. For more information about Data Ideology, visit www.dataideology.com
Technical Business Analyst-(Contract 1099)
We are seeking a talented and experienced Technical Business Analyst with a passion for data and technology to join our team on a contract engagement. In this role you will serve as the connective tissue across concurrent data platform and emerging technology workstreams — facilitating discovery, translating stakeholder requirements into actionable artifacts, and ensuring architectural decisions made in one workstream are properly reflected in others. For more information about Data Ideology, visit www.dataideology.com
Responsibilities
To perform in this position successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Other duties may be assigned to meet business needs.
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.