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Relocation Opportunity Data Analyst Jobs in Toronto, ON

Identify opportunities to streamline and automate operational processes. * Develop and maintain ... Analyze data and identify trends, issues, and anomalies * Translate business requirements into ...

Working closely with business partners, data engineers, and analytics teams, you will leverage data to uncover opportunities, solve business challenges, and deliver actionable recommendations that ...

Data Analyst

Mississauga, ON

CA$94K - CA$136K/yr

Explore opportunities to integrate AI and ML capabilities such as predictive demand modeling, sales forecasting, and segmentation into the Sales and Demand Insights product DATA ANALYSIS AND BUSINESS ...

Data Analyst

Brampton, ON

CA$94K - CA$136K/yr

Explore opportunities to integrate AI and ML capabilities such as predictive demand modeling, sales forecasting, and segmentation into the Sales and Demand Insights product DATA ANALYSIS AND BUSINESS ...

Data Analyst

Toronto, ON

CA$94K - CA$136K/yr

Explore opportunities to integrate AI and ML capabilities such as predictive demand modeling, sales forecasting, and segmentation into the Sales and Demand Insights product DATA ANALYSIS AND BUSINESS ...

Data Analyst

Toronto, ON · Hybrid

CA$75K - CA$100K/yr

Proactively identify opportunities to improve reporting, data quality, and analytical workflows Qualifications * Minimum 2+ years of experience in a data analyst, business intelligence, or analytics ...

Data Analyst Are you passionate about creating immersive and cutting-edge online applications? Do ... Opportunities for career development, growth and advancement * Fantastic company events and On-site ...

Data Analyst

Maple, ON · On-site

CA$94K - CA$136K/yr

Explore opportunities to integrate AI and ML capabilities such as predictive demand modeling, sales forecasting, and segmentation into the Sales and Demand Insights product DATA ANALYSIS AND BUSINESS ...

Data Analyst

Unionville, ON

CA$94K - CA$136K/yr

Explore opportunities to integrate AI and ML capabilities such as predictive demand modeling, sales forecasting, and segmentation into the Sales and Demand Insights product DATA ANALYSIS AND BUSINESS ...

Data Analyst

Toronto, ON · On-site

CA$55K - CA$95K/yr

We are seeking experienced Data Analysts to support a large-scale data migration and integration ... Exposure to financial services or other regulated industries This opportunity is for an existing ...

Data Analyst

Toronto, ON · On-site +1

Posting this opportunity to support a backfill requirement on the team What You'll Do * Analyze key business metrics to evaluate and improve strategic initiatives * Translate data into actionable ...

Data Analyst

Hamilton, ON · On-site

CA$27.51 - CA$37.29/hr

Data Analyst Number of Openings: 1 Division: Corporate Full/Part Time/Casual: Full Time Program ... opportunities, and building business cases * Coordinate application configuration, testing ...

Overview The Data Analyst plays a key role in designing and implementing advanced web analytics ... Provide strategic recommendations for A/B testing opportunities while setting up, managing tests ...

Data Analyst

Toronto, ON

CA$55K - CA$95K/yr

We are currently seeking a Data Analyst to join the Data Solutions team in the Wealth Technology ... This opportunity is for an existing vacancy with the company. The anticipated base salary range for ...

DATA ANALYST & INTEGRATOR

Toronto, ON · Hybrid

CA$44.64 - CA$48.88/hr

Initially based at Metro Hall (55 John St) and will relocate to North York Civic Centre (5100 Yonge ... Equity, Diversity and Inclusion The City is an equal opportunity employer, dedicated to creating a ...

Data Analyst

Mississauga, ON · On-site

CA$75K - CA$90K/yr

Ultimately, EllisDon's purpose is to provide people with similar values the opportunity to achieve ... You as a Data Analyst will: * Elicit, analyze, specify, and validate the business needs of internal ...

... opportunity to thrive. The Driver Earnings team at Lyft is responsible for managing our suite of ... Analyze data, conduct research and synthesize feedback into plans, processes and playbooks.

Must Have * 6+ years of Business domain experience as a Data Analyst, including experience with ... Opportunities to do challenging work. The base compensation range for this role in the posted ...

Summary The Data Analyst II role is to deliver a final business solution to the operations team ... opportunities for process automation. * Knowledge of Power Apps to develop internal business ...

You will define how success is measured, uncover high-value opportunities, lead rigorous experimentation, and build trusted analytical products and AI assisted workflows that turn complex data into ...

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Relocation Opportunity Data Analyst information

What is a relocation opportunity data analyst?

A Relocation Opportunity Data Analyst is a professional who gathers, analyzes, and interprets data related to employee or organizational relocations. Their role involves assessing relocation trends, costs, and opportunities to help companies make informed decisions about moving employees or offices. They may also evaluate geographic data, compensation packages, and market conditions to optimize relocation strategies. These analysts typically work with HR, real estate, and finance teams to support workforce mobility initiatives and ensure smooth transitions during relocations.

What are some common challenges data analysts face when relocating for a new position, and how can they prepare for a smooth transition?

Relocating for a Data Analyst role often involves adapting to a new company culture, understanding region-specific data privacy regulations, and building relationships with a new team. Job seekers should research the local data landscape, familiarize themselves with relevant regulations, and proactively reach out to future colleagues before moving. Additionally, leveraging company-offered relocation support and participating in onboarding activities can help ease the transition and ensure a successful start.

What are the key skills and qualifications needed to thrive as a relocation opportunity data analyst, and why are they important?

To thrive as a Relocation Opportunity Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a background in statistics or a related field, often supported by a bachelor’s degree. Familiarity with data analysis tools like Excel, SQL, and visualization software such as Tableau or Power BI is typically required, along with knowledge of geographic information systems (GIS). Attention to detail, problem-solving abilities, and effective communication are essential soft skills that help in translating complex data into actionable business insights. These skills ensure accurate assessments of relocation opportunities, supporting informed decision-making and successful organizational transitions.

What is the difference between Relocation Opportunity Data Analyst vs Data Analyst?

AspectRelocation Opportunity Data AnalystData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related field; often some experience in data analysisBachelor's or higher in Data Science, Statistics, or related field; entry to mid-level experience
Work EnvironmentCorporate offices, remote options, or client sites; often involves travel for relocation projectsOffice-based, remote, or hybrid settings; focused on data processing and reporting
Employer & Industry UsageUsed by companies offering relocation services, HR firms, and multinational corporationsWidely used across industries like finance, healthcare, marketing, and technology

The main difference is that a Relocation Opportunity Data Analyst specializes in analyzing data related to employee relocations and mobility programs, often involving travel and specific industry knowledge. In contrast, a Data Analyst has a broader focus on analyzing various types of data across multiple sectors. Both roles require similar credentials but differ in their focus areas and work environments.

What are popular job titles related to Relocation Opportunity Data Analyst jobs in Toronto, ON?

For Relocation Opportunity Data Analyst jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Relocation Opportunity Data Analyst jobs in Toronto, ON look for?

The top searched job categories for Relocation Opportunity Data Analyst jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Relocation Opportunity Data Analyst jobs?

Cities near Toronto, ON with the most Relocation Opportunity Data Analyst job openings:

Infographic showing various Relocation Opportunity Data Analyst job openings in Toronto, ON as of August 2026, with employment types broken down into 88% Full Time, 3% Part Time, and 9% Contract. Highlights an 94% In-person, and 6% Hybrid job distribution.

Full-time

Retirement, PTO

Re-posted 3 days ago


Key responsibilities

  • Support data migration initiatives by coordinating data extraction, validation, transformation, and loading activities.

  • Develop and maintain reports, dashboards, and performance metrics to support decision-making.

  • Support day-to-day operational and financial processes, including preparing, reviewing, and coordinating operational transactions.


Job description

Requisition ID: 269197 
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

Team

 

The Data team within Global Finance & Risk Technology (GFRT) provides enterprise-level analytics, data services, governance support, and operational data management for Global Finance initiatives. The team plays a critical role in supporting financial close processes, financial reporting, data migration initiatives, system implementations, and ongoing operational activities while ensuring the delivery of high-quality Financial Data Management, Data Analysis, Data Quality, and Data Governance services across the organization.

 

Role

  • We are seeking a Data Analyst to support business operations through data analysis, reporting, process improvement, system implementation, and operational support activities.
  • The role is responsible for delivering analytical insights, managing data migration initiatives, supporting financial and operational processes, and developing solutions that improve efficiency, accuracy, and control effectiveness.
  • Working closely with business stakeholders, operations teams, finance partners, and technology teams, the position plays a key role in maintaining data integrity, supporting system transitions, and ensuring successful business outcomes.
  • The successful candidate will combine strong technical expertise in data engineering, programming, data analysis, data modeling, and database design with a solid understanding of finance, accounting, and operational processes.
  • This individual must be highly analytical, proactive, detail-oriented, and capable of working effectively with stakeholders across Finance, Operations, Technology, and Vendor teams. Experience supporting system implementations, data migrations, financial reconciliations, and process automation initiatives is highly desirable.

What will we expect from you?

Data Analysis & Reporting

  • Collect, validate, analyze, and interpret data from multiple business systems.
  • Develop and maintain reports, dashboards, and performance metrics to support decision-making.
  • Conduct ad hoc analysis and provide actionable recommendations to stakeholders.
  • Monitor data quality, identify anomalies, and investigate discrepancies.

Process Improvement & Automation

  • Identify opportunities to streamline and automate operational processes.
  • Develop and maintain reporting, reconciliation, and analytical solutions.
  • Support the implementation of process enhancements, system upgrades, and operational efficiencies.
  • Create and maintain process documentation, user guides, and operational procedures.

Data Migration & System Implementation

  • Support data migration initiatives involving the transition from legacy systems and local ledgers to enterprise platforms, including PeopleSoft 9.2 (PS92).
  • Coordinate data extraction, validation, transformation, and loading activities.
  • Establish and validate historical balances and reference data within the new system environment.
  • Perform reconciliation activities to ensure completeness and accuracy between source and target systems.
  • Collaborate with business and technology stakeholders to resolve migration and conversion issues.
  • Support User Acceptance Testing (UAT), parallel runs, production readiness, and go-live activities.
  • Provide post-implementation support, including issue investigation, defect resolution, process stabilization, and end-user assistance following deployment.

Stakeholder Management & Governance

  • Partner with business, operations, finance, and technology teams to gather requirements and deliver solutions.
  • Communicate findings, risks, and recommendations to stakeholders and management.
  • Support audit requests, control testing, and regulatory compliance requirements.
  • Maintain strong governance and control practices over data, reporting, and operational processes.

Operational Support

  • Support day-to-day operational and financial processes.
  • Prepare, review, and coordinate special entries, adjustments, corrections, and related operational transactions.
  • Investigate, resolve, and escalate operational issues as required.
  • Perform reconciliations and exception analysis to ensure data accuracy and completeness.
  • Support month-end, quarter-end, and year-end operational activities.

 

What You Will Bring to Succeed

 

  • Bachelor's degree in business, Finance, Accounting, Computer Science, Information Systems, Analytics, or a related field.
  • 3 years of experience in data analysis, reporting, operations support, technology, or a related field.
  • Strong foundational knowledge of:
    • SQL and data analysis
    • Microsoft Excel and data manipulation
    • Reporting and dashboard development
    • Basic understanding of:
    • Database concepts and data structures
    • Data validation, reconciliation, and quality control processes
  • Software development or data engineering fundamentals
  • Experience through work, internships, co-op placements, or academic projects with:
    • Data analysis and reporting
    • Large datasets and data-driven decision-making
    • Process improvement or automation initiatives

Ability to:

  • Analyze data and identify trends, issues, and anomalies
  • Translate business requirements into analytical solutions
  • Support testing, implementation, and operational activities
  • Learn new technologies and business processes quickly
  • Strong analytical, problem-solving, and organizational skills.
  • Excellent verbal and written communication skills.
  • Ability to work effectively both independently and within a team environment.

 Nice-to-Have Skills:

  • Python, ACL, SAS, VBA, or similar scripting and automation tools
  • BI and visualization tools (Power BI, Tableau, OBIEE, ThoughtSpot)
  • ETL tools (DataStage, Informatica, or equivalent)
  • OFSAA or other financial data management platforms

 

Exposure to:

  • Chart of Accounts (CoA/CoFA) design and financial hierarchies
  • Regulatory reporting and risk data environments
  • Data lineage, metadata repositories, and governance frameworks
  • PeopleSoft 9.2 (PS92) or comparable ERP platforms
  • Experience supporting:
  • Financial system migrations and ledger conversions
  • Financial Close processes
  • Audit and regulatory compliance initiatives

Soft Skills Required:

  • Strong analytical and problem-solving mindset with the ability to resolve complex data and operational issues.
  • Highly detail-oriented with a focus on data accuracy, integrity, and control effectiveness.
  • Excellent communication and stakeholder management skills across business and technology teams.
  • Ability to work proactively and independently in a fast-paced environment.
  • Strong collaboration skills with cross-functional teams and external partners.
  • Effective prioritization, organization, and multitasking abilities.
  • Demonstrated adaptability and willingness to learn new technologies and business processes.
  • Reflective and open-minded attitude, with the ability to incorporate feedback for continuous personal and professional growth.
  • Strong documentation, governance, and process management capabilities.

The Workplace

 

  • We are technology partners who help the business transform how our employees around the world work
  • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
  • You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world
  • We foster an environment of innovation and continuous learning
  • We care about our people, allowing them to design how they work to deliver amazing results
  • We offer a competitive total rewards package, including a performance bonus, company matching programs (on pension & profit sharing), and generous vacation

Location(s):  Canada : Ontario : Toronto 
Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.  
At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our  Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.