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Internship Geoscience Data Analyst Jobs in Toronto, ON

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 ...

New

... analytics, data science, business intelligence, and AI workflows for geoscience data, ensuring data accessibility across the Seequent platform and connected application ecosystem. This position ...

AI & Data Analyst

Mississauga, ON

CA$24.45 - CA$48.49/hr

Starting with ourAI Data Analyst Training curriculum, you will be workingwithAccentureteamsto ... internships count!) Bonus points if you have: * CloudPlatform Exposure - familiarity with AWS ...

Market Data Analyst

Markham, ON · On-site

CA$72K - CA$86K/yr

University degree in Business, Finance, Data Analytics, or related field preferred. * 1-3 years of experience in data analysis, reporting, or analytics roles (co-op/internship experience considered)

Product Data Analyst

Toronto, ON · Remote

$145K - $175K/yr

Minimum qualifications * 5 years in a Data Analyst, Product Analyst, or Business Intelligence role (excluding internships) * SQL fluency -- complex joins, incremental computation, window functions ...

Business Data Analyst Student

Toronto, ON · Hybrid

CA$40K - CA$50K/yr

This is a 9-12 month internship, starting in September 2026. The Business Data Analyst will be responsible for either processing business in PartnerRe systems or working on NAL Operations and ...

... analytics, data science, business intelligence, and AI workflows for geoscience data. This position has an expectation of an individual who already possesses relevant industry experience in software ...

... analytics, data science, business intelligence, and AI workflows for geoscience data. This position has an expectation of an individual who already possesses relevant industry experience in software ...

... analytics, data science, business intelligence, and AI workflows for geoscience data. This position has an expectation of an individual who already possesses relevant industry experience in software ...

Bachelor's degree in Finance, Economics, Business, Political Science, Law, Accounting, Computer Science, Data Analytics, or a related field. * Prior internship experience at an investment bank ...

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Internship Geoscience Data Analyst information

What are the key skills and qualifications needed to thrive as an internship geoscience data analyst, and why are they important?

To thrive as an Internship Geoscience Data Analyst, you need a foundational understanding of geology or earth sciences, strong analytical abilities, and proficiency in data analysis, often pursued during a relevant undergraduate or graduate program. Familiarity with GIS software, programming languages like Python or R, and experience with data visualization tools are typically expected. Attention to detail, problem-solving skills, and effective communication are vital soft skills for collaborating with multidisciplinary teams and presenting findings. These competencies ensure accurate data interpretation, meaningful insights, and effective contribution to geoscience projects.

What is the difference between Internship Geoscience Data Analyst vs Geoscience Data Analyst?

AspectInternship Geoscience Data AnalystGeoscience Data Analyst
Required CredentialsEnrolled in or recent graduate of geoscience or related programBachelor's or higher in geoscience, geology, or related field
Work EnvironmentInternship setting, often part-time or temporaryFull-time, permanent position in industry or research
Employer & Industry UsageEntry-level, training-focused roles in energy, mining, or environmental firmsProfessional roles with responsibilities in data analysis, reporting, and modeling

The main difference is that an Internship Geoscience Data Analyst is a temporary, entry-level position aimed at gaining experience, while a Geoscience Data Analyst is a full-time professional role requiring more experience and responsibility in analyzing geoscience data within the industry.

What types of projects and data sets can I expect to work with as an internship geoscience data analyst?

As an Internship Geoscience Data Analyst, you will typically engage with real-world geological data such as seismic readings, rock and soil samples, well logs, and satellite imagery. Projects often involve cleaning, organizing, and visualizing these data sets to support exploration, environmental assessments, or resource management. You’ll work closely with geologists, data scientists, and engineers, gaining hands-on experience with industry-standard tools and software while contributing meaningful insights to ongoing research or commercial projects.

What does an internship geoscience data analyst do?

An Internship Geoscience Data Analyst assists in collecting, processing, and interpreting geoscientific data, such as geological, geophysical, or geochemical information. They use specialized software and tools to analyze data sets, create visualizations, and help solve real-world geological problems. Interns often support senior analysts in research projects, data management, and reporting, gaining hands-on experience in the geoscience field. This role is ideal for students or recent graduates interested in applying analytical skills to earth sciences.

Can I do a geoscience data analyst internship?

Yes, a geoscience data analyst internship is available for students or recent graduates with skills in data analysis, geology, and programming tools like Python or GIS software. Internships typically require relevant coursework or background in geoscience and may involve working with large datasets, mapping, and data visualization. These internships provide practical experience in analyzing geological data and often have flexible schedules during academic breaks.

Full-time

Retirement, PTO

Posted 3 days ago

New


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.