Data AnalystLocation:Toronto, ONOnsite Flexibility:Hybrid — Every Thursday and every third Friday on‑siteContract DetailsPosition Type:ContractContract Duration:6 months (extension possible up to 2 years; conversion to FTEpossible)Pay Rate:$50.00–$65.00 / Hour (USD)Shift / Schedule:Monday–Friday, 9:00 AM – 5:00 PM (37.5 hrs/week)Job SummaryThisData Analystrole sits within the Capital Markets line of business, supporting theCMDA (Capital Markets Data Architecture)initiative — a Databricks-centric data platform designed to centralize capital markets data. Typical work includes data ingestion, building data pipelines, enrichment, and modeling to retrieve and serve data from Databricks. The role reports to the Director of Application Services, with day‑to‑day Jira distribution managed by the Team Lead. The position exists to address work overflow and a long backlog of pipelines and requirements, and the contractor will pick up queued tasks on this strategic, long‑running initiative. This is an intermediate role offering mentorship from senior developers and exposure to a global team spanning London and Toronto.Key ResponsibilitiesDesign, build, and maintain data pipelines onDatabricks/Sparkfor ingestion, curation, and retrieval of capital markets dataPerform data enrichment and data modeling aligned to business needs and platform standardsWrite clean, efficientSQL and Pythonfor transformations, validation, and automationCollaborate with the team lead (assigns JIRAs/work items)



and senior developers; participate in code reviews and delivery ceremoniesOperate withinAzure(preferred) and adapt concepts from other clouds as needed; contribute to documentation and knowledge sharingRequired Skills5 years of experience as a Data Analyst/Engineer with big data and data pipelinesStrongSQLandPythonHands‑on experience withDatabricksand solid understanding of theSparkengineExperience with data modeling and enrichmentCloud experience —Azurepreferred (conceptual parity with AWS/GCP acceptable for ramp‑up)Preferred SkillsCapital Markets data/domain exposure (advantageous but not mandatory)Experience with Azure native services around Databricks; familiarity with AWS orGCP conceptsRequired ExperienceMinimum 5 years of experience as a Data Analyst or Data Engineer working with big data and data pipelinesAdditional SkillsClear communication; ability to learn new data models quicklyCollaboration with senior mentors and cross‑functional partners; ownership and delivery focusAdaptability in a rapid‑moving backlog with evolving prioritiesAbout the ClientLeading North American financial institution offering reliable banking products and personalized financial solutions.About GTTGTT is a minority‑owned staffing firm and a subsidiary of Chenega Corporation, a Native American‑owned company in Alaska. We highly value diverse and inclusive workplaces and support Fortune 500 organizations across banking, financial services, technology, life sciences, biotech, utilities, and retail sectors throughout the U.S. and Canada.Job Number: 26-06373Industry:Data & Analytics#gttca#J-18808-Ljbffr

📌 Data Analyst - $50 - $65 An Hour (Winnipeg)
🏢 GTT
📍 Winnipeg