Business Information Management Analyst

Global Technical Talent, an Inc. 5000 Company; Toronto; Hybrid; CAD 110,000 - 124,000; Part time

Benefits offered by this job

Medical, Vision, Dental Insurance

401k Retirement Plan

Job summary

Global Technical Talent is seeking a Business/Data Migration Analyst in Toronto, ON. The role focuses on leading the data migration project from inception through deployment, with hands-on execution in a hybrid environment.

Ideal candidates have 7–10 years in data migration/analytics, strong cloud and SDLC experience, and excellent communication. Onsite 4 days plus remote one day per week, contract for 12 months with extensions and conversion potential.

Qualifications

• 7–10 years in data migration or analytics environments.
• Strong experience with cloud data platforms and SDLC.
• Ability to read data schemas and write technical docs.

Responsibilities

• Lead data migration project from inception to deployment.
• Participate in analysis and design sessions.
• Create design documentation per SDLC and support execution.
• Analyze large datasets, derive insights, and communicate results.
• Review data schemas and related technical documents.

Skills

Cloud (MS Azure)

Data management

Communication (verbal & written)

Team collaboration

Analytical thinking

Education

Undergraduate/technical degree

Tools

PySpark

SQL

Tableau

Power BI

Databricks

Unity Catalog

Synapse

Job description

Onsite Flexibility: Hybrid — 4 days on-site and one day work from home

• Position Type: Contract
• Contract Duration: 12 months (with potential for extension based on performance and business needs)
• Conversion Possible: Yes, based on performance and business needs
• Pay Rate: C$80.00–C$90.00 / Hour (CAD)
• Shift / Schedule: Monday–Friday, standard business hours
• Travel Requirements: Not required

---

Business Information Management Analyst

Location: Toronto, ON

Onsite Flexibility: Hybrid — 4 days on-site and one day work from home

Contract Details

• Position Type: Contract
• Contract Duration: 12 months (with potential for extension based on performance and business needs)
• Conversion Possible: Yes, based on performance and business needs
• Pay Rate: C$80.00–C$90.00 / Hour (CAD)
• Shift / Schedule: Monday–Friday, standard business hours
• Travel Requirements: Not required

---

Job Summary

This role is responsible for leading the technical aspects of a data migration project from inception through to deployment. The successful candidate will participate in analysis and system design specification sessions and produce documentation of design options and solutions according to System Development Life Cycle (SDLC) methodology. Meeting time is minimal — a maximum of 2.5 hours per week, only when needed — with the majority of work focused on hands‑on technical execution. The contractor will have access to customer data. This position offers compelling selling points, including conversion and extension possibilities, the opportunity to work for a leading financial institution, and the chance to build professional networks.

---

Key Responsibilities

• Lead technical aspects of the data migration project from inception through to deployment
• Participate in analysis and system design specification sessions
• Produce documentation of design options and solutions according to System Development Life Cycle (SDLC) methodology
• Analyze large data sets, draw insights and inferences, and communicate outputs
• Read and comprehend data schemas, metadata, entity relationship diagrams, and other technical documentation, as well as write documentation

---

Required Skills

• 7–10 years of technical knowledge or experience with Cloud environments (MS Azure) as well as experience with Data Management and Analytics
• 7–10 years of strong technical knowledge and experience with PySpark, SQL, Tableau, and Power BI
• 7–10 years of experience with analyzing large data sets, drawing insights and inferences, and communicating outputs
• Experience with reading and comprehending data schemas, metadata, entity relationship diagrams, and other technical documentation, as well as writing documentation
• 7–10 years of Databricks experience, Unity Catalog experience, and Synapse experience
• Excellent verbal and written communication with the ability to work collaboratively and effectively in a team environment
• Strong statistical and analytical skills as well as a passion for analytics

---

Preferred Skills

• Banking experience
• Project Management experience
• Experience with Data/Text Mining, Optimization, Algorithm Development, Automation, Data Visualization, Simulation, and developing dashboards

---

Education Requirements

• Undergraduate degree or technical degree in a preferred field (e.g., math, physics, engineering, or computer science)

---

Required Experience

• 7–10 years of overall experience required
• Background in data migration projects strongly valued

---

Nice-to-Have Experience

• Banking / financial institution background
• Project management background

---

Work Environment / Physical Requirements

• Hybrid work model: 4 days on-site, 1 day remote per week
• Minimal meeting load: maximum 2.5 hours per week, only if needed
• No overtime required
• No rotation required
• Training period: 2 weeks

---

Important Notes

• Candidates with a pattern of job hopping or short-term contracts will not be considered
• Interview process: 2 rounds, both in-person, 30–45 minutes each

---

• Medical, Vision, and Dental Insurance Plans
• 401k Retirement Fund

---

About the Client

This client is a leading financial services and banking institution operating across Canada, with a large team environment and a culture that emphasizes collaboration, agility, and professional development. The organization supports a broad range of technology and data professionals — including solutions developers, data engineers, business analysts, and IT specialists — who work within fast-paced, compliance-aware environments managing complex data platforms and analytics workloads at scale.

---

Job Number: 26-11318 Industry: Data & Analytics

#gttca