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Entry Level Data Analyst Jobs in Carleton Place, ON

AVI-SPL

Recruiter (Bilingual)

Ottawa, ON

Ability to understand and interpret data, run reports, analyze trends, and identify actionable ... Track record of success recruiting entry level to senior executive levels of the business ...

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Entry Level Data Analyst information

Is 40 too late for data science?

Entry level data analysts and data scientists can start at any age, including 40, as long as they develop relevant skills such as programming, statistics, and data visualization. Many professionals successfully transition into data roles later in their careers by gaining certifications and practical experience.

Can you work as a data analyst without experience?

Entry level data analyst positions often do not require prior professional experience, but having skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

What does an Entry Level Data Analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

What is the difference between Entry Level Data Analyst vs Data Scientist?

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

Can I be a data analyst with no experience?

Entry level data analyst positions often do not require prior professional experience, but having foundational skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, communication, and domain knowledge that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace entry-level data analysts.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types: business analysts, who focus on understanding business needs; data scientists, who develop advanced models and algorithms; data engineers, who build and maintain data pipelines; and operations analysts, who optimize processes using data insights. Entry-level data analysts often start with business or operations analysis, developing skills in tools like Excel, SQL, and visualization software.

What Does an Entry-Level Data Analyst Do?

The job duties of an entry-level data analyst include working to collect, manage, and analyze data. In this career, your responsibilities often revolve around performing research on business or industry data to define trends or assess performance in a particular sector. As an entry-level data analyst, you usually work as part of a team of analysts and statisticians who analyze data and then create reports to show their findings to relevant executives, stakeholders, and managers. In some situations, this analysis team may recommend actions based on research results.

Can a data analyst be entry-level?

Yes, entry-level data analyst positions are common and typically require basic skills in data analysis tools like Excel, SQL, or Python, along with a relevant degree such as in statistics, mathematics, or computer science. These roles often focus on learning and developing analytical skills under supervision and may require little to no prior professional experience.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst, and why are they important?

To thrive as an Entry Level Data Analyst, you need strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.
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What cities near Carleton Place, ON are hiring for Entry Level Data Analyst jobs? Cities near Carleton Place, ON with the most Entry Level Data Analyst job openings:
Entry Level Data Analyst jobs near you
Infographic showing various Entry Level Data Analyst job openings in Carleton Place, ON as of July 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 89% In-person, and 11% Hybrid job distribution.

Junior System Test Analyst (Hybrid - 3 days in office)

Navcanada

Ottawa, ON • Hybrid

CA$91K - CA$114K/yr

Full-time

Retirement

Posted 25 days ago

Job description

Job Posting Title

Junior System Test Analyst (Hybrid - 3 days in office)

Job Category

Systems Engineering

Language Requirements

English / Anglais

Flexible Work Agreement Type

Hybrid / Hybride

Posting End Date

2026-07-21

Job Grade

PIPSC-2

Pay Range

$91,278 - $114,668

Job Summary

NAV CANADA is seeking self-motivated and detail-oriented Junior System Test Analysts to join our technology team. These entry-level positions are ideal for someone passionate about quality assurance, eager to learn, and ready to contribute to real-world software projects that support and shape the present and future of Air Navigation Services in Canada. You'll work closely with system test specialists and cross-functional teams to support test planning, test case development, test execution, defect tracking, and verification activities. You will help ensure that systems meet functional, performance, and safety requirements by conducting structured testing, analyzing results, and collaborating to resolve issues and improve overall system quality.

Job Description

What NAV CANADA offers you:

  • Challenging, team-oriented work environment

  • Competitive compensation and benefits

  • Defined benefit pension plan

  • Opportunities for growth and development

  • Flexible work arrangements

  • Diverse and inclusive workforce

Key Accountabilities:

  • Assist in the development and execution of test cases and test procedures based on system requirements.

  • Perform functional, regression, and integration testing to ensure software meets expected behaviour and quality standards.

  • Document, track, and support the resolution of defects and issues in collaboration with developers and system engineers.

  • Contribute to the creation and maintenance of test plans, test scripts, and test data.

  • Support test environment setup and validation, ensuring required preconditions and configurations are met.

  • Analyze test results and provide clear and accurate reporting on system performance and quality.

  • Stay current with testing tools, techniques, and quality assurance practices to support continuous improvement.

Job Requirements

Education:

  • Degree from a recognized university or community college with an acceptable specialization in computer science, information technology, engineering, or an acceptable combination of education, experience, and training.

Experience:

  • 1-3 years of relevant experience in software or system testing, quality assurance, or validation activities; this may include co-op placements or internships.

  • Experience executing test cases and working with test plans, test scripts, and test procedures.

  • Exposure to defect tracking tools (e.g., Jira, Azure DevOps, IBM Jazz) and basic defect lifecycle processes.

  • Familiarity with software development and testing within Agile or team-based environments.

  • Basic experience supporting test environments, configurations, or setup activities.

Knowledge:

  • Knowledge of software testing principles and methodologies, including functional, regression, and integration testing.

  • Understanding of the software development lifecycle (SDLC) and the role of testing throughout the process.

  • Familiarity with test case design techniques and expected results validation.

  • Awareness of system functionality, interfaces, and dependencies, including APIs or integrated systems.

  • Knowledge of quality assurance practices, including defect management, traceability, and documentation standards.

Abilities:

  • Ability to follow structured processes and execute test procedures.

  • Ability to analyze test results and identify discrepancies, inconsistencies, or defects.

  • Ability to troubleshoot issues and determine whether problems are related to code, environment, or test setup.

  • Ability to balance multiple assignments and adapts to shifting priorities.

  • Effective oral and written communication skills in English

Personal Suitability:

  • Builds and maintains positive working relationships through respect, fairness, tact, and open communication.

  • Demonstrates a strong commitment to quality, safety, and attention to detail.

  • Applies critical thinking and problem-solving skills to support effective decision-making.

  • Shows a strong work ethic and sense of accountability for results.

  • Displays a commitment to continuous learning and professional development.

  • Maintains a high level of punctuality and accessibility, ensuring timely communication and support in a dynamic work environment.

Working conditions:

  • This is a hybrid position with a minimum requirement of 3 days per week on site.

  • Typically conducted in a cubicle and/or open office and/or meeting room and/or lab environments using computer-based tools.

  • Travel may be required on occasion.

How to Apply:

When you submit your application, an embedded questionnaire will ask you to describe how you meet each of the requirements listed under the "Education" and "Experience" sections of this job poster. Before you begin your application, please have these responses prepared in a separate document as Workday will not save your answers if you leave the page. Please note that a cover letter is not required to apply for this job, only a resume and the questionnaire responses are needed.

If you are selected for assessment, you will be invited to an in-person evaluation at the job location. The assessments may include individual tests, group exercises and interviews to evaluate the requirements listed under the "Knowledge", "Abilities", and "Personal Suitability" sections of this job poster.

NAV CANADA is committed to building a skilled, diverse workforce reflective of Canadian society. If you do not believe that you match every job requirement listed on this job posting, we still encourage you to apply. NAV CANADA encourages a culture of learning and growth, and recognizes that although some technical skills are mandatory, many others can be taught.

Our Company strives to create an inclusive and barrier-free selection process and work environment. If you require accommodations during this competition process, please ensure that you inform the interview coordinator or hiring manager of any accommodation measures you may require. NAV CANADA will provide accommodations throughout the recruitment and selection process to applicants with disabilities as required.

The successful candidate must meet the security requirement of the position and be legally able to work in Canada.

We thank all applicants for their interest; only those selected for next steps will be contacted.

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