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Entry Level Marketing Data Analyst Jobs in Quebec

Societe Generale

Market Data Specialist

Montreal, QC · On-site

Collection, Analysis, Design and prioritization of business requirements from Front officers, Risk ... Familiar with excel formula for data management * Experience in investment banking * Experience ...

DoiT

Customer Marketing Manager

Montreal, QC · Remote

You will partner with CSM and AM teams, Product Marketing, and Data/Analytics teams to identify which customers are most likely to adopt new products and services, and build campaigns that reach them ...

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Entry Level Marketing Data Analyst information

What does an entry level marketing data analyst do?

An Entry Level Marketing Data Analyst is responsible for collecting, analyzing, and interpreting data to help companies make informed marketing decisions. They typically work with large datasets, perform data cleaning, and use statistical tools to identify patterns and trends in customer behavior and campaign performance. Their insights help marketing teams optimize strategies, improve targeting, and measure the effectiveness of marketing efforts. Entry-level analysts often assist with creating reports and visualizations to communicate findings to stakeholders.

What are the key skills and qualifications needed to thrive as an entry level marketing data analyst, and why are they important?

To thrive as an Entry Level Marketing Data Analyst, you need a solid understanding of statistics, data analysis, and marketing principles, often supported by a bachelor’s degree in marketing, business, or a related field. Familiarity with tools like Microsoft Excel, Google Analytics, and data visualization platforms such as Tableau is important, and knowledge of SQL or Python can be advantageous. Strong analytical thinking, attention to detail, and communication skills help you interpret data and convey insights to stakeholders effectively. These skills ensure accurate analysis and actionable recommendations that drive successful marketing strategies.

What are some common challenges faced by entry level marketing data analysts, and how can they be overcome?

Entry level marketing data analysts often encounter challenges such as interpreting large datasets, ensuring data accuracy, and translating technical findings into actionable marketing insights. It's important to develop strong analytical skills, attention to detail, and effective communication abilities to bridge the gap between data and business strategy. Collaborating closely with marketing and analytics teams, seeking mentorship, and utilizing data visualization tools can help overcome these challenges and support career growth in the field.

What is the difference between Entry Level Marketing Data Analyst vs Marketing Data Coordinator?

AspectEntry Level Marketing Data AnalystMarketing Data Coordinator
Required CredentialsBachelor's in Marketing, Data Analysis, or related field; Basic Excel and analytical skillsBachelor's in Marketing, Business, or related; Familiarity with data tools
Work EnvironmentOffice setting, collaborative teams, data-focused tasksOffice-based, supporting marketing campaigns and data management
Employer & Industry UsageMarketing agencies, corporate marketing departments, retailAdvertising firms, corporate marketing teams, non-profits
Search & Comparison IntentYes, often compared for entry-level roles in marketing dataCommonly compared but slightly more administrative

The Entry Level Marketing Data Analyst focuses on analyzing marketing data to generate insights, while the Marketing Data Coordinator handles data management and supports marketing campaigns. Both roles require similar educational backgrounds and are found in similar industries, but analysts emphasize data interpretation, whereas coordinators focus on data organization and support tasks.

Entry Level Marketing Data Analyst jobs near you
Infographic showing various Entry Level Marketing Data Analyst job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Software Development & Data Science Analyst (12 Month contract)

Boisbriand, QC

Mitsubishi Heavy Industries, Ltd.
Manufacturing • 10K+ employees

9.1

Company rating: 9.1 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

21st of 495 rated machine equipment manufacturers

People enjoy working here

Good employer

Recommended by parents

Learn more about Mitsubishi Heavy Industries, Ltd.external

Contractor

Posted 10 days ago

Job description

MHIRJ (MHI RJ Aviation Group) is the fusion of two powerful legacies: Mitsubishi Heavy Industries (MHI) and the CRJ Series program. Headquartered in Boisbriand, Quebec, MHIRJ delivers comprehensive operational, engineering, and customer support solutions to the global regional aircraft industry. Our services include maintenance, refurbishment, technical publications, marketing, and sales activities.

With a strong Aerospace Engineering Center and a network of service centers, support offices, and parts depots across the world, we’re positioned to support our global customers wherever they fly.

From day one, you will work to provide insights and intelligent decision-making across functions and contribute to the delivery of real projects using the latest technology to solve business problems. You will receive one-on-one and group training and coaching from a team of talented experts and take on complex challenges in a rewarding environment.

The Sales & Operations Planning & Product Performance Team’s main objective rests with leveraging data and analytical techniques to guide business decisions with primary focus on the health of the company’s P&L. The team is divided between the Analytics and the Development team where you will get to work on various activities between both teams. The position is a direct source for providing insight to help enhance the fidelity of commercial decision making for the CRJ Aftermarket and help digitize that effort by developing Online tools & dashboards to deliver recommendations.

Your tasks will include:

Software Development & Data Science:

  • Experience working with AI models and demonstrated ability with AI projects in the past or as projects on GitHub
  • Ability to optimize code and identify bottlenecks with different solutions
  • Identify data elements and ensure a high level of data quality and accurate reporting.
  • Utilize tools such as PowerPoint, Excel, Power BI, and Python to perform the analysis and communicate findings
  • Develop automated reports and scripts with defined steps and methodology, allowing frequent and streamlined updates

Development:

  • Ability to understand and follow Agile development methodology
  • Ability to work with multiple data source files (pdfs, .sgml , .json , .docx. and more) to extract and manipulate data
  • Develop query methodology to answer questions about ambiguous data for example answering irregularities in data and where gaps exist
  • Create data tools/scripts for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
  • Optimizing algorithms to work in constrained environments

You will develop the following skills:

  • Extensive hands-on experience with solving all the main types of analytics: Descriptive, Diagnostic, Predictive, and Prescriptive
  • A suite of tools to perform analysis, develop and maintain web applications, and directly ameliorate the company’s P&L performance
  • Working knowledge of aviation related data; spare parts, airline operations, industry news, inventory and forecasting, demand planning, and more

The skills you bring:

  • Your proven curiosity and adaptability
  • Have 1-3 years of experience with an undergraduate degree in Engineering, Mathematics, Computer Science, or related field
  • Have an analytical mindset
  • Excellent verbal and written communication skills
  • Proficient in Microsoft Excel Pivot Tables & Advanced Formulas, PowerPoint
  • Experience in qualitative and quantitative evaluation methods
  • General programming proficiency, with an emphasis on Python and SQL, and tools such as Git.
  • Knowledge of Polars/Pandas, Playwright and Pyautogui
  • Experience with cloud technologies like Azure and Databricks is an added plus
  • Experience with profiling technologies like Pyinstrument or other profiling methods is an added plus
  • High organizational skills and a team player able to work with variable departments.

Additional details:

  • Position located at East Mississauga, Ontario– flexible working schedule with expectation to be physically working at the office when required (subject to change)

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