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CAREER OPPORTUNITYFinance & Operations

Data Tech BA

Toronto, ON (Canada)  ·  Contract (Full-time for 16 weeks)  ·  Mid-Level

JOB OVERVIEW

LocationToronto, ON (Canada)
Employment TypeContract (Full-time for 16 weeks)
Experience LevelMid-Level
Salary Range$85,000 - $110,000 CAD per annum
Posted3 days ago

ABOUT THE ROLE

Full-time for 16 weeks starting in January. As Data Tech BA (Analyst to Senior Consultant), you will conduct stakeholder interviews, capture business and technical requirements, inventory source systems and APIs, assess current integration patterns, and contribute to future-state architecture and implementation roadmaps.

KEY RESPONSIBILITIES

  • Conduct stakeholder interviews and capture business and technical requirements.
  • Inventory source systems, datasets, APIs, integrations and data flows.
  • Document data ownership, volumes, latency, history and known limitations.
  • Assess the current data architecture, technology landscape and integration patterns.
  • Support architecture and platform working sessions.
  • Support the assessment of platform options and associated trade-offs.
  • Document future-state requirements and target patterns for ingestion, storage, transformation, access, security, monitoring and resiliency.
  • Contribute to the current-state assessment, future-state architecture and implementation roadmap.

REQUIRED QUALIFICATIONS & EXPERIENCE

  • Experience developing system, data, API and integration inventories.
  • Experience capturing and structuring business and technical requirements.
  • Ability to document current-state architectures, data flows, dependencies and limitations.
  • Working knowledge of data architecture, data modelling, ingestion and integration patterns.
  • Ability to review technical documentation and translate it into structured requirements and analysis.
  • Ability to support options assessments and document trade-offs against defined requirements.

PREFERRED ASSETS & VALUED SKILLS

  • Familiarity with Snowflake or Databricks.
  • Exposure to cloud data platforms, analytics environments or managed-cloud architectures.
  • Experience with customer, marketing, digital-behaviour or transactional data.
  • Public-sector or regulated-organization experience.