Tech Business Analyst

Job highlights

• Bachelors or masters degree in information systems,Educational Technology,Computer Science,or a related field
• Experience Level: Mid-level (3-7 years preferred) . About the Role . Academian is seeking a Tech Business Analyst to support presales and solution definition activities for technology-focused learning solutions
• Preferred Qualifications .

Job Title: Tech Business Analyst

Location: Remote / Hybrid

Employment Type: Full-Time

Experience Level: Mid-level (3-7 years preferred)

About the Role

Academian is seeking a Tech Business Analyst to support presales and solution definition activities for technology-focused learning solutions. This role is responsible for capturing, structuring, and communicating requirements, but not for architecting the solution.

You will work closely with the Technology Solutions Architect and cross-functional team members to translate client goals into clear functional requirements, data/interface specifications, user flows, and assumptions that can be costed and built. The ideal candidate is detail-oriented and technically fluent.

Key Responsibilities

Translate client needs into clear, structured documentation for proposals, RFIs, and internal scoping, including narratives, requirement summaries, and high-level process diagrams.

Support Technology Solution Architects by documenting technical and functional requirements, assumptions, dependencies, and risks discussed during discovery and presales.

Coordinate the solution documentation workflow, tracking inputs, review comments, and version updates across internal teams to maintain consistency and traceability through proposal and delivery stages.

Collaborate with internal teams (Technology, Product, Delivery) to consolidate inputs, confirm feasibility, and ensure accurate representation of proposed solution.

Collaborate with the respective members/teams to draft narratives or summaries for social media, website, or case-study use, highlighting Academian s technology capabilities and solution outcomes.

Research and summarize approaches related to learning platforms, analytics, interoperability (APIs, SSO, LTI), data pipelines, and AI-driven personalization to support solution articulation.

Maintain and update solution libraries, reusable templates, and documentation standards, ensuring all proposal materials reflect current terminology, data points, and compliance notes.

Create solution and capability presentations, proposals, and other decks, ensuring clarity, technical accuracy, and alignment with Academian s positioning.

Facilitate presales-to-delivery handoff by summarizing key requirements, scope boundaries, and validation details for internal teams.

Participate in client and internal review discussions to verify alignment between stated requirements, proposed solutions, and delivery expectations.

Qualifications

3-7 years of experience in a solutions-focused, business analysis, or presales role, ideally within edtech, eLearning, or SaaS sectors.

Bachelors or masters degree in information systems, Educational Technology, Computer Science, or a related field.

Demonstrated ability to capture, structure, and communicate business and functional requirements for technology-enabled learning solutions.

Familiar with APIs, LMS/LXP platforms, system integrations, and education data standards such as LTI, QTI, OneRoster, and Caliper.

Understanding of data workflows including Data Warehousing, Data Lakes, and ETL processes.

Awareness of Knowledge Graphs, structured data, and semantic relationships in educational tech systems.

Excelled written and spoken English skills able to produce client-ready documents, articulate technical details clearly, and present persuasively in meetings.

Strong organisational skills to handle multiple opportunities simultaneously under tight deadlines.

Comfortable collaborating across technical and non-technical teams in a remote environment.

Preferred Qualifications

Experience in supporting or authoring RFP/RFI responses or client proposals.

Exposure to AI and analytics-driven solutions in education.