- Company Name
- Canadian Cancer Society
- Job Title
- Tech. Bus. Analyst, Data & Analytics Platform
- Job Description
-
**Job Title**
Technical Business Analyst – Data & Analytics Platforms
**Role Summary**
Serve as a bridge between business stakeholders and technical delivery teams to translate complex business needs into actionable data‑and‑analytics requirements. Facilitate discovery, document specifications, validate data and solution designs, and support agile planning and delivery across the organization’s data platforms.
**Expectations**
- Deliver clear, testable requirements that align with business goals and data governance standards.
- Maintain accuracy and currency of technical documentation.
- Collaborate across cross‑functional teams to ensure solutions are scalable, fit for purpose, and adopted by users.
- Participate in agile ceremonies to support backlog refinement, sprint planning, and release validation.
**Key Responsibilities**
- Conduct structured requirements gathering sessions with product leaders, SMEs, and business teams.
- Define business, data platform, and advanced analytics requirements; identify gaps & dependencies.
- Evaluate data integration needs across platforms, define source‑to‑target flows, transformations, data quality, and governance requirements.
- Review and validate data models and solution designs with data and analytics teams.
- Produce high‑quality solution documentation (process flows, data models, configuration specs).
- Support QA by clarifying requirements, aiding test scenario development, and defect analysis.
- Translate business needs into user stories, acceptance criteria, and backlog items.
- Assist delivery teams with sprint planning, ensuring Definition of Ready/Done criteria are met.
- Participate in release reviews and validation to confirm delivered functionality meets approved requirements.
**Required Skills**
- Strong analytical and problem‑solving abilities.
- Excellent written and verbal communication, with experience documenting requirements, process flows, and data models.
- Proficiency in requirements management tools (e.g., Jira, Confluence).
- Knowledge of data integration concepts, data governance, and data quality practices.
- Familiarity with agile methodology, user story creation, and backlog refinement.
- Ability to work collaboratively with data engineers, BI specialists, QA, and DevOps.
- Experience in advanced analytics concepts (predictive modeling, segmentation, experimentation) is advantageous.
**Required Education & Certifications**
- Bachelor’s degree in Computer Science, Information Systems, Business Analytics, or related field.
- Certifications such as CBAP/CCBA, Agile Certified Practitioner (ACP), or similar Business Analysis credentials are preferred.