Data Analyst - AI Automation, Python, SQL, LLM
Offre en anglaisThe role involves identifying AI and automation opportunities and implementing solutions using Microsoft 365 Copilot and Power Automate. The candidate will translate business requirements into AI-enabled agents and automated workflows while providing actionable data insights.
- Télétravail
- Toronto, Ontario, Canada
- Publié 31 août 2026
- Postuler avant le 30 sept. 2026
- 1 poste
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Résumé du poste
Data Analyst AI Automation, Python, SQL, LLM Location: Toronto, ON Onsite Flexibility: Fully Remote Contract Details Position Type: Contract Contract Duration: 12 months (extension possible, conversion possible) Pay Rate: C$50.00–C$60.00 / Hour (CAD) Shift / Schedule: Monday – Friday, 9:00 AM – 5:00 PM EST Travel Requirements: Not required --- Job Summary This Data Analyst role sits within an analytics and insights group that is exposed to the newest tools and technologies in AI, automation, and advanced analytics. The team is working at the forefront of impactful projects, and the successful candidate will be engaged in analytics, insights, and AI initiatives that represent some of the most cutting-edge work being done in the organization. The role is mat leave coverage supporting a 15-member team, with some training provided. The contractor will have access to customer data and will interact primarily with internal stakeholders, spending approximately 5–10 hours weekly in meetings. Performance will be measured by deliverables, quality of work, and meeting deadlines. --- Key Responsibilities Partner with the Business to identify and assess AI, automation, and analytics opportunities. Design, prototype, test, and implement solutions using Microsoft 365 Copilot, Copilot Studio, Power Automate, and related approved technologies. Translate business requirements and manual processes into AI-enabled agents, automated workflows, and decision-support solutions. Conduct process and data exploration to assess use-case feasibility, data readiness, integration needs, risks, controls, and expected value. Independently manage assigned initiatives from requirements gathering and solution design through testing, documentation, implementation, and user adoption. Provide data analysis and actionable insights in response to ongoing and ad hoc business needs. Collaborate with business and control partners to ensure solutions comply with applicable AI, data, risk, privacy, and governance requirements. Develop reusable solution patterns and documentation to support responsible and scalable adoption of AI and automation. --- Required Skills Python, SQL, and experience using large language models (LLMs) Experience using AI automation Stakeholder management Strong communication skills (verbal and written) Analytics and insights function experience Experience with AI — generative or agent-based AI solutions Attention to detail Time management, highly organized, sense of urgency Excellent communication skills (verbal and written) --- Preferred Skills Previous banking or financial institution (FI) experience --- Required Experience 5–7 years of overall experience in a data analyst or related analytics and insights role Minimum 5 years of experience with Python, SQL, and large language models Minimum 5 years of experience using AI automation --- Nice-to-Have Experience Previous experience working at a financial institution --- Education Requirements Post-secondary education — any field --- Important Notes Interview process: Virtual — 2 rounds The contractor will have access to customer data The ideal candidate is curious, resourceful, attentive to the newest developments in AI, and able to manage stakeholder expectations with strong attention to detail --- About the Client This client is one of North America's largest financial institutions — the sixth-largest bank on the continent by branches — serving approximately 22 million customers across Canada, the United States, Europe, and the Asia-Pacific region. Headquartered in Toronto, Ontario, the organization employs over 85,000 professionals worldwide spanning retail banking advisors, commercial lenders, wealth management professionals, risk analysts, and technology specialists who deliver a full-service financial platform including personal and commercial banking, wealth management, insurance, and payment solutions. The institution has earned Great Place to Work Certification for ten consecutive years and actively promotes equity, opportunity, and career development through its Ready Commitment corporate citizenship platform. --- About GTT GTT 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: 26-12691 Industry: Data & Analytics
Ce que vous ferez
The role involves identifying AI and automation opportunities and implementing solutions using Microsoft 365 Copilot and Power Automate. The candidate will translate business requirements into AI-enabled agents and automated workflows while providing actionable data insights.
Exigences
Requires 5-7 years of experience in data analytics with at least 5 years specifically using Python, SQL, and LLMs. Candidates must have a background in AI automation and strong stakeholder management skills.
Compétences indiquées
- SQLSouhaitée
- Analyse de donnéesSouhaitée
- Stakeholder ManagementSouhaitée
- PythonSouhaitée
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- Python
- SQL
- Large Language Models
- AI Automation
- Stakeholder Management
- Microsoft 365 Copilot
- Copilot Studio
- Power Automate
- Generative AI
- Agent-based AI
- Data Analysis
- Process Exploration
Domaines d’emploi
- Data & Analytics
- Technology
- Finance & Accounting
- Software
- Consulting
Renseignements supplémentaires
- Formation minimale
- Baccalauréat
- Expérience minimale
- 5+ ans
- Postuler avant le
- 30 sept. 2026
- Langue de l’offre
- anglais
- Heures de travail
- 40 heures par semaine
- Niveau d’expérience
- Entry level
- Mode de candidature
- La candidature directe est offerte