Data Analyst
- Canada
Full-time
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Job details
- Job type
- Full-time
- Posting language
- English
- Posted
Original job description
Stantec is a global leader in sustainable engineering, architecture, and environmental consulting. With over 20 technical specialties worldwide, we are committed to safety, quality, and ethics, fostering a diverse community of talents, backgrounds, and expertise. Our teams collaborate with top environmental professionals to deliver vital work that supports our clients and the communities they serve. We innovate at the intersection of community, creativity, and client relationships to advance communities everywhere, redefining what’s possible in areas such as climate change, digital transformation, and infrastructure future-proofing.
About The Role
We have an immediate opening for a Junior Environmental Data Analyst to join our Environmental Data Management team. This entry-level, hybrid position (approximately 2-3 days in office per week) involves supporting multiple environmental projects across North America by organizing, validating, loading, and reporting laboratory, field, spatial, and geological data. You will collaborate with experienced data analysts, project managers, technical specialists, field teams, and laboratories to ensure project databases are complete, accurate, and traceable. This role offers an excellent opportunity to develop foundational skills in environmental data management and database technologies while contributing to impactful environmental projects.
Qualifications
- Bachelor’s degree, college diploma, or equivalent training in chemistry, environmental science, environmental studies, geology, geography, or a related discipline
- Up to two years of relevant experience in environmental data management, analytical chemistry, laboratory data, database support, or related fields (including co-op, internship, academic, or project experience)
- Foundational knowledge of environmental data management principles and strong interest in developing technical database skills
- Experience with or exposure to EarthSoft EQuIS, Microsoft Access, Microsoft SQL Server, or equivalent database platforms
- Understanding of relational database concepts such as tables, primary and foreign keys, data types, joins, and dataset relationships
- Good background in general and environmental chemistry, laboratory analyses, analytical terminology, units, detection limits, and data qualifiers
- Experience working with spreadsheets, structured datasets, laboratory electronic data deliverables (EDDs), or field data is an asset
- Strong attention to detail with commitment to data accuracy, consistency, completeness, and traceability
- Logical problem-solving skills and ability to methodically investigate data issues
- Effective organizational skills to manage multiple projects and competing priorities
- Clear written and verbal communication skills with confidence to seek clarification when needed
- Ability to work independently and collaboratively within a geographically distributed team
- Willingness to learn new software, regulatory frameworks, and data management procedures
- Familiarity with federal, provincial, state, or municipal environmental guidelines is a plus
- Support multiple environmental projects simultaneously while adhering to project-specific requirements, schedules, priorities, and budgets
- Receive, organize, review, and manage environmental data from diverse sources including laboratory EDDs, field data, spatial data, borehole and geological information, and historical records
- Perform routine data quality checks to identify missing information, formatting issues, duplicates, invalid values, unit inconsistencies, and other anomalies
- Load, maintain, query, and extract data using EarthSoft EQuIS, Microsoft Access, and Microsoft SQL Server under established procedures and senior guidance
- Apply relational database concepts to review, query, and troubleshoot data effectively
- Use knowledge of chemistry and laboratory reporting practices to support accurate interpretation and management of environmental analytical data
- Prepare routine data summaries, reports, tables, exports, and project deliverables using standard tools and templates
- Communicate with project managers, laboratories, field teams, and technical staff to obtain files, resolve data questions, and confirm project requirements
- Maintain clear documentation of data receipt, processing, validation, corrections, and delivery to support traceability and quality assurance
- Follow established data management standards, naming conventions, quality procedures, and file management practices
- Manage assigned tasks, track progress, raise questions promptly, and communicate potential schedule or data-quality concerns to the project team
- Access to comprehensive health, dental, and vision plans
- Wellness program including health care spending account and wellness spending account
- Group registered retirement savings plan (RRSP) and group tax-free savings account (TFSA)
- Employee stock purchase program
- Life and accidental death & dismemberment (AD&D) insurance
- Short-term and long-term disability plans
- Emergency travel benefits
- Tuition reimbursement and professional membership fee coverage
- Paid time off
- Flexible work schedule with hybrid work arrangement
Stantec is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. We encourage applications from all qualified individuals and support a workplace culture that values respect, collaboration, and fairness.
More about this job
Responsibilities
Organize, validate, load, maintain, query, and report environmental laboratory, field, spatial, geological, and historical data across multiple projects. Prepare project deliverables, document data processing for traceability, and coordinate with project managers, laboratories, field teams, and technical staff to resolve data questions and quality issues.
Requirements
Applicants need a bachelor’s degree, college diploma, or equivalent training in a relevant discipline, with up to two years of related experience, including academic, internship, or project experience. They should have foundational environmental data management and relational database knowledge, familiarity with relevant database platforms, a background in chemistry and laboratory data, and strong attention to detail, organization, communication, and problem-solving skills.
Skills
- Environmental Data Management
- Data Quality Assurance
- EarthSoft EQuIS
- Microsoft Access
- Microsoft SQL Server
- Relational Databases
- Environmental Chemistry
- Laboratory Data Management
- Data Validation
- Data Reporting
- Spreadsheet Management
- Electronic Data Deliverables
- Problem-Solving
- Attention To Detail
- Project Coordination
- Written And Verbal Communication
Benefits
- Health Insurance
- Dental Insurance
- Vision Insurance
- Wellness Program
- Health Care Spending Account
- Wellness Spending Account
- Group Tax-Free Savings Account
- Employee Stock Purchase Program
- Life Insurance
- Accidental Death And Dismemberment Insurance
- Short-Term Disability Insurance
- Long-Term Disability Insurance
- Emergency Travel Benefits
- Tuition Reimbursement
- Professional Membership Fee Coverage
- Paid Time Off
- Flexible Work Schedule
Visa sponsorship
Not detected in the job text
Categories
- Environmental & Sustainability
- Data & Analytics
- Science & Research
- Engineering
- Consulting
Keywords
- Environmental Data Management
- EarthSoft EQuIS
- Microsoft Access
- Microsoft SQL Server
- Relational Databases
- Primary Keys
- Foreign Keys
- Database Joins
- Environmental Chemistry
- Analytical Chemistry
- Laboratory Analyses
- Laboratory Electronic Data Deliverables
- Field Data
- Spatial Data
- Geological Data
- Borehole Information
- Data Validation
- Data Quality Checks
- Data Traceability
- Data Reporting
- Data Summaries
- Data Exports
- Spreadsheets
- Environmental Guidelines
- Quality Assurance
- Data Management Procedures
- Project Coordination